84 results on '"Domoto-Reilly, K"'
Search Results
2. Comparison of sporadic and familial behavioral variant frontotemporal dementia (FTD) in a North American cohort
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Heuer, Hilary W, Wang, P, Rascovsky, K, Wolf, A, Appleby, B, Bove, J, Bordelon, Y, Brannelly, P, Brushaber, DE, Caso, C, Coppola, G, Dickerson, B, Dickinson, S, Domoto‐Reilly, K, Faber, K, Ferrall, J, Fields, J, Fishman, A, Fong, J, Foroud, T, Forsberg, LK, Gearhart, D, Ghazanfari, B, Ghoshal, N, Goldman, J, Graff‐Radford, J, Graff‐Radford, N, Grant, I, Grossman, M, Haley, D, Hsiung, G‐Y, Huey, E, Irwin, D, Jones, D, Kantarci, K, Karydas, A, Kaufer, D, Kerwin, D, Knopman, D, Kornak, J, Kramer, JH, Kraft, R, Kremers, WK, Kukull, W, Litvan, I, Ljubenkov, P, Mackenzie, IR, Maldonado, M, Manoochehri, M, McGinnis, S, McKinley, E, Mendez, MF, Miller, BL, Onyike, C, Pantelyat, A, Pearlman, R, Petrucelli, L, Potter, M, Rademakers, R, Ramos, EM, Rankin, KP, Roberson, ED, Rogalski, E, Sengdy, P, Shaw, L, Syrjanen, J, Tartaglia, MC, Tatton, N, Taylor, J, Toga, A, Trojanowski, J, Weintraub, S, Wong, B, Wszolek, Z, Boeve, BF, Rosen, HJ, Boxer, AL, and consortia, on behalf of the ARTFL and LEFFTDS
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Acquired Cognitive Impairment ,Frontotemporal Dementia (FTD) ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Neurodegenerative ,Alzheimer's Disease Related Dementias (ADRD) ,Behavioral and Social Science ,Clinical Research ,Rare Diseases ,Dementia ,Brain Disorders ,Aging ,Genetics ,Neurological ,Age Factors ,Aged ,Brain ,C9orf72 Protein ,Female ,Frontotemporal Dementia ,Genetic Predisposition to Disease ,Humans ,Male ,Middle Aged ,Mutation ,Neuropsychological Tests ,North America ,Progranulins ,tau Proteins ,bvFTD ,C9orf72 ,clinical trials ,frontotemporal dementia ,genetics ,GRN ,MAPT ,ARTFL and LEFFTDS consortia ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
IntroductionBehavioral variant frontotemporal dementia (bvFTD) may present sporadically or due to an autosomal dominant mutation. Characterization of both forms will improve understanding of the generalizability of assessments and treatments.MethodsA total of 135 sporadic (s-bvFTD; mean age 63.3 years; 34% female) and 99 familial (f-bvFTD; mean age 59.9; 48% female) bvFTD participants were identified. f-bvFTD cases included 43 with known or presumed chromosome 9 open reading frame 72 (C9orf72) gene expansions, 28 with known or presumed microtubule-associated protein tau (MAPT) mutations, 14 with known progranulin (GRN) mutations, and 14 with a strong family history of FTD but no identified mutation.ResultsParticipants with f-bvFTD were younger and had earlier age at onset. s-bvFTD had higher total Neuropsychiatric Inventory Questionnaire (NPI-Q) scores due to more frequent endorsement of depression and irritability.Discussionf-bvFTD and s-bvFTD cases are clinically similar, suggesting the generalizability of novel biomarkers, therapies, and clinical tools developed in either form to the other.
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- 2020
3. Active lifestyles moderate clinical outcomes in autosomal dominant frontotemporal degeneration
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Casaletto, KB, Staffaroni, AM, Wolf, A, Appleby, B, Brushaber, D, Coppola, G, Dickerson, B, Domoto‐Reilly, K, Elahi, FM, Fields, J, Fong, JC, Forsberg, L, Ghoshal, N, Graff‐Radford, N, Grossman, M, Heuer, HW, Hsiung, G‐Y, Huey, ED, Irwin, D, Kantarci, K, Kaufer, D, Kerwin, D, Knopman, D, Kornak, J, Kramer, JH, Litvan, I, Mackenzie, IR, Mendez, M, Miller, B, Rademakers, R, Ramos, EM, Rascovsky, K, Roberson, ED, Syrjanen, JA, Tartaglia, MC, Weintraub, S, Boeve, B, Boxer, AL, Rosen, H, Yaffe, K, and Study, the ARTFL LEFFTDS
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Biological Psychology ,Biomedical and Clinical Sciences ,Psychology ,Basic Behavioral and Social Science ,Rare Diseases ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Aging ,Neurodegenerative ,Clinical Research ,Brain Disorders ,Prevention ,Frontotemporal Dementia (FTD) ,Behavioral and Social Science ,Biomedical Imaging ,Alzheimer's Disease Related Dementias (ADRD) ,Alzheimer's Disease ,Neurosciences ,Acquired Cognitive Impairment ,Dementia ,Neurological ,Aged ,Atrophy ,Cognition ,Exercise ,Female ,Frontotemporal Lobar Degeneration ,Humans ,Leisure Activities ,Longitudinal Studies ,Magnetic Resonance Imaging ,Male ,Middle Aged ,Neuropsychological Tests ,cognitive activity ,cognitive reserve ,exercise ,frontotemporal dementia ,physical activity ,ARTFL/LEFFTDS Study ,Clinical Sciences ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
IntroductionLeisure activities impact brain aging and may be prevention targets. We characterized how physical and cognitive activities relate to brain health for the first time in autosomal dominant frontotemporal lobar degeneration (FTLD).MethodsA total of 105 mutation carriers (C9orf72/MAPT/GRN) and 69 non-carriers reported current physical and cognitive activities at baseline, and completed longitudinal neurobehavioral assessments and brain magnetic resonance imaging (MRI) scans.ResultsGreater physical and cognitive activities were each associated with an estimated >55% slower clinical decline per year among dominant gene carriers. There was also an interaction between leisure activities and frontotemporal atrophy on cognition in mutation carriers. High-activity carriers with frontotemporal atrophy (-1 standard deviation/year) demonstrated >two-fold better cognitive performances per year compared to their less active peers with comparable atrophy rates.DiscussionActive lifestyles were associated with less functional decline and moderated brain-to-behavior relationships longitudinally. More active carriers "outperformed" brain volume, commensurate with a cognitive reserve hypothesis. Lifestyle may confer clinical resilience, even in autosomal dominant FTLD.
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- 2020
4. Gearing up for the future: Exploring facilitators and barriers to inform clinical trial design in frontotemporal lobar degeneration
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Banga, YB, Banga, YB, Lai, Y, Kim, P, Boeve, BF, Boxer, AL, Rosen, HJ, Forsberg, LK, Heuer, HW, Brushaber, D, Appleby, B, Biernacka, JM, Bordelon, YM, Botha, H, Bozoki, AC, Brannelly, P, Dickerson, BC, Dickinson, S, Dickson, DW, Domoto-Reilly, K, Faber, K, Fagan, AM, Fields, JA, Fishman, A, Foroud, TM, Galasko, DR, Gavrilova, RH, Gendron, TF, Geschwind, DH, Ghoshal, N, Goldman, J, Graff-Radford, J, Graff-Radford, NR, Grant, I, Grossman, M, Hsiung, GYR, Huang, EJ, Huey, ED, Irwin, DJ, Jones, DT, Kantarci, K, Karydas, AM, Kaufer, D, Knopman, DS, Kramer, JH, Kremers, WK, Kornak, J, Kukull, WA, Lagone, E, Leger, GC, Litvan, I, Ljubenkov, PA, Lucente, DE, Mackenzie, IR, Manoochehri, M, Masdeu, JC, McGinnis, S, Mendez, MF, Miller, BL, Miyagawa, T, Nelson, KM, Onyike, CU, Pantelyat, A, Pascual, B, Pearlman, R, Petrucelli, L, Pottier, CP, Rademakers, R, Ramos, EM, Rankin, KP, Rascovsky, K, Rexach, JE, Ritter, A, Roberson, ED, Rojas, JC, Sabbagh, MN, Salmon, DP, Savica, R, Seeley, WW, Staffaroni, AM, Syrjanen, JA, Tartaglia, MC, Tatton, N, Taylor, JC, Toga, AW, Weintraub, S, Wheaton, D, Wong, B, Wszolek, Z, Banga, YB, Banga, YB, Lai, Y, Kim, P, Boeve, BF, Boxer, AL, Rosen, HJ, Forsberg, LK, Heuer, HW, Brushaber, D, Appleby, B, Biernacka, JM, Bordelon, YM, Botha, H, Bozoki, AC, Brannelly, P, Dickerson, BC, Dickinson, S, Dickson, DW, Domoto-Reilly, K, Faber, K, Fagan, AM, Fields, JA, Fishman, A, Foroud, TM, Galasko, DR, Gavrilova, RH, Gendron, TF, Geschwind, DH, Ghoshal, N, Goldman, J, Graff-Radford, J, Graff-Radford, NR, Grant, I, Grossman, M, Hsiung, GYR, Huang, EJ, Huey, ED, Irwin, DJ, Jones, DT, Kantarci, K, Karydas, AM, Kaufer, D, Knopman, DS, Kramer, JH, Kremers, WK, Kornak, J, Kukull, WA, Lagone, E, Leger, GC, Litvan, I, Ljubenkov, PA, Lucente, DE, Mackenzie, IR, Manoochehri, M, Masdeu, JC, McGinnis, S, Mendez, MF, Miller, BL, Miyagawa, T, Nelson, KM, Onyike, CU, Pantelyat, A, Pascual, B, Pearlman, R, Petrucelli, L, Pottier, CP, Rademakers, R, Ramos, EM, Rankin, KP, Rascovsky, K, Rexach, JE, Ritter, A, Roberson, ED, Rojas, JC, Sabbagh, MN, Salmon, DP, Savica, R, Seeley, WW, Staffaroni, AM, Syrjanen, JA, Tartaglia, MC, Tatton, N, Taylor, JC, Toga, AW, Weintraub, S, Wheaton, D, Wong, B, and Wszolek, Z
- Abstract
BACKGROUND: Frontotemporal lobar degeneration (FTLD) refers to a group of neurodegenerative conditions, affecting the frontal and/or temporal lobes. Ongoing research has provided insight into developing clinical trials for FTLD and key clinical measures such as structural MRI. To inform clinical trial design and optimize participation, it is imperative to explore facilitators and barriers for potential candidates. OBJECTIVE: The objective of this study is to explore facilitators and barriers to participating in future clinical trials for FTLD. METHODS: Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) are observational studies focused on characterizing FTLD syndromes in preparation for clinical trials. The 584 participants enrolled across 18 research sites in the United States and Canada completed a survey assessing interest in clinical trial participation. RESULTS: 29% of respondents self-reported as patients (63±10 years), 26% self-reported as caregivers answering on behalf of patients (65±10 years), and 45% self-reported as healthy but at risk for FTLD (48±14 years). Travel reimbursement was the most common factor reported to positively influence participation (≧66%), with the healthy but at risk group showing the strongest endorsement (83%). Cost and time involved in travel were possible barriers for about half of the patients (48%) and healthy but at risk respondents (53%). The respondents value receiving feedback on the study findings (≧80%) and being informed of their individual disease progression (≧75%). Particularly, keeping participation confidential was very important for the healthy but at risk group (62%). In regard to research assessments, most participants demonstrated a high interest in physical and neurological exams at a research center (≧87%) whereas only half were interested in doing more invasive procedures such as the lumbar puncture
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- 2021
5. Demographic and psychosocial factors associated with the decision to learn mutation status in familial frontotemporal dementia and the impact of disclosure on mood
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Bajorek, LP, Bajorek, LP, Kiekhofer, R, Hall, M, Taylor, J, Lucente, DE, Brushaber, D, Appleby, B, Coppolla, G, Bordelon, YM, Botha, H, Dickerson, BC, Dickson, DW, Domoto-Reilly, K, Fagan, AM, Fields, JA, Fong, JC, Foroud, TM, Forsberg, LK, Galasko, DR, Gavrilova, RH, Geschwind, DH, Ghoshal, N, Goldman, J, Graff-Radford, NR, Graff-Radford, J, Grant, I, Grossman, M, Heuer, HW, Hsiung, GYR, Huang, EJ, Huey, ED, Irwin, DJ, Jones, DT, Kantarci, K, Kornak, J, Kremers, WK, Lapid, MI, Leger, GC, Litvan, I, Ljubenkov, PA, Mackenzie, IR, Masdeu, JC, McMillan, C, Mendez, M, Miller, BL, Miyagawa, T, Onyike, CU, Pascual, B, Pedraza, O, Petrucelli, L, Rademakers, R, Ramos, EM, Rankin, KP, Rascovsky, K, Rexach, JE, Ritter, A, Roberson, ED, Savica, R, Rojas, JC, Seeley, WW, Tartaglia, MC, Toga, AW, Weintraub, S, Wong, B, Wszolek, Z, Vandevrede, L, Boeve, BF, Boxer, AL, Rosen, HJ, Staffaroni, AM, Bajorek, LP, Bajorek, LP, Kiekhofer, R, Hall, M, Taylor, J, Lucente, DE, Brushaber, D, Appleby, B, Coppolla, G, Bordelon, YM, Botha, H, Dickerson, BC, Dickson, DW, Domoto-Reilly, K, Fagan, AM, Fields, JA, Fong, JC, Foroud, TM, Forsberg, LK, Galasko, DR, Gavrilova, RH, Geschwind, DH, Ghoshal, N, Goldman, J, Graff-Radford, NR, Graff-Radford, J, Grant, I, Grossman, M, Heuer, HW, Hsiung, GYR, Huang, EJ, Huey, ED, Irwin, DJ, Jones, DT, Kantarci, K, Kornak, J, Kremers, WK, Lapid, MI, Leger, GC, Litvan, I, Ljubenkov, PA, Mackenzie, IR, Masdeu, JC, McMillan, C, Mendez, M, Miller, BL, Miyagawa, T, Onyike, CU, Pascual, B, Pedraza, O, Petrucelli, L, Rademakers, R, Ramos, EM, Rankin, KP, Rascovsky, K, Rexach, JE, Ritter, A, Roberson, ED, Savica, R, Rojas, JC, Seeley, WW, Tartaglia, MC, Toga, AW, Weintraub, S, Wong, B, Wszolek, Z, Vandevrede, L, Boeve, BF, Boxer, AL, Rosen, HJ, and Staffaroni, AM
- Abstract
BACKGROUND: Up to 30% of frontotemporal dementia (FTD) cases are due to known pathogenic mutations (f-FTD). Little is known about the factors that predict who will choose to learn their results. Upcoming clinical trials in f-FTD may require disclosure prior to enrollment, even before symptom onset, and thus characterizing this sample is important. Furthermore, understanding the mood impacts of genetic disclosure may guide genetic counseling practice. METHOD: F-FTD participants (n=568) from families with a known pathogenic mutation (MAPT, C9orf72, GRN) were enrolled through the ARTFL/LEFFTDS Longitudinal FTD Study (ALLFTD) and provided the opportunity for disclosure. Independent-sample t-tests compared demographic and psychosocial factors between participants who did and did not receive their results. In participants who were asymptomatic at baseline and follow up (n=199,177 with follow-up), linear mixed effects modeling was used to investigate pre- to post-disclosure changes in the 15-item Geriatric Depression Scale (GDS). RESULT: Of participants from families with a known pathogenic genetic mutation, 47% received genetic disclosure. Of the asymptomatic subset (n=386), 36% know their mutation status. Of these asymptomatic learners, 46% received disclosure through the study, and the remainder learned their genetic status prior to study enrollment. None of the analyzed demographic or psychosocial factors (i.e., sex, age, education, having children) differed between learners and non-learners (p's > 0.05). In the longitudinal analysis of asymptomatic participants, learners showed a pre- to post-increase of 0.31 GDS points/year (95%CI: -0.08, 0.69, p = 0.12), whereas non-learners showed a slight decline (-0.15 points/year, 95%CI: -0.36, 0.06, p = 0.16). This difference between slopes was statistically significant (0.46, 95%CI: 0.02, 0.89, p=0.04) but represents a small clinical effect. In asymptomatic learners, slopes did not differ based on mutation status (0.28, 95%
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- 2021
6. Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study
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Moore, K.M. Nicholas, J. Grossman, M. McMillan, C.T. Irwin, D.J. Massimo, L. Van Deerlin, V.M. Warren, J.D. Fox, N.C. Rossor, M.N. Mead, S. Bocchetta, M. Boeve, B.F. Knopman, D.S. Graff-Radford, N.R. Forsberg, L.K. Rademakers, R. Wszolek, Z.K. van Swieten, J.C. Jiskoot, L.C. Meeter, L.H. Dopper, E.G. Papma, J.M. Snowden, J.S. Saxon, J. Jones, M. Pickering-Brown, S. Le Ber, I. Camuzat, A. Brice, A. Caroppo, P. Ghidoni, R. Pievani, M. Benussi, L. Binetti, G. Dickerson, B.C. Lucente, D. Krivensky, S. Graff, C. Öijerstedt, L. Fallström, M. Thonberg, H. Ghoshal, N. Morris, J.C. Borroni, B. Benussi, A. Padovani, A. Galimberti, D. Scarpini, E. Fumagalli, G.G. Mackenzie, I.R. Hsiung, G.-Y.R. Sengdy, P. Boxer, A.L. Rosen, H. Taylor, J.B. Synofzik, M. Wilke, C. Sulzer, P. Hodges, J.R. Halliday, G. Kwok, J. Sanchez-Valle, R. Lladó, A. Borrego-Ecija, S. Santana, I. Almeida, M.R. Tábuas-Pereira, M. Moreno, F. Barandiaran, M. Indakoetxea, B. Levin, J. Danek, A. Rowe, J.B. Cope, T.E. Otto, M. Anderl-Straub, S. de Mendonça, A. Maruta, C. Masellis, M. Black, S.E. Couratier, P. Lautrette, G. Huey, E.D. Sorbi, S. Nacmias, B. Laforce, R., Jr Tremblay, M.-P.L. Vandenberghe, R. Damme, P.V. Rogalski, E.J. Weintraub, S. Gerhard, A. Onyike, C.U. Ducharme, S. Papageorgiou, S.G. Ng, A.S.L. Brodtmann, A. Finger, E. Guerreiro, R. Bras, J. Rohrer, J.D. Heller, C. Convery, R.S. Woollacott, I.O. Shafei, R.M. Graff-Radford, J. Jones, D.T. Dheel, C.M. Savica, R. Lapid, M.I. Baker, M. Fields, J.A. Gavrilova, R. Domoto-Reilly, K. Poos, J.M. Van der Ende, E.L. Panman, J.L. Donker Kaat, L. Seelaar, H. Richardson, A. Frisoni, G. Mega, A. Fostinelli, S. Chiang, H.-H. Alberici, A. Arighi, A. Fenoglio, C. Heuer, H. Miller, B. Karydas, A. Fong, J. João Leitão, M. Santiago, B. Duro, D. Ferreira, C. Gabilondo, A. De Arriba, M. Tainta, M. Zulaica, M. Ferreira, C. Semler, E. Ludolph, A. Landwehrmeyer, B. Volk, A.E. Miltenberger, G. Verdelho, A. Afonso, S. Tartaglia, M.C. Freedman, M. Rogaeva, E. Ferrari, C. Piaceri, I. Bessi, V. Lombardi, G. St-Onge, F. Doré, M.-C. Bruffaerts, R. Vandenbulcke, M. Van den Stock, J. Mesulam, M.M. Bigio, E. Koros, C. Papatriantafyllou, J. Kroupis, C. Stefanis, L. Shoesmith, C. Robertson, E. Coppola, G. Da Silva Ramos, E.M. Geschwind, D.
- Abstract
Background: Frontotemporal dementia is a heterogenous neurodegenerative disorder, with about a third of cases being genetic. Most of this genetic component is accounted for by mutations in GRN, MAPT, and C9orf72. In this study, we aimed to complement previous phenotypic studies by doing an international study of age at symptom onset, age at death, and disease duration in individuals with mutations in GRN, MAPT, and C9orf72. Methods: In this international, retrospective cohort study, we collected data on age at symptom onset, age at death, and disease duration for patients with pathogenic mutations in the GRN and MAPT genes and pathological expansions in the C9orf72 gene through the Frontotemporal Dementia Prevention Initiative and from published papers. We used mixed effects models to explore differences in age at onset, age at death, and disease duration between genetic groups and individual mutations. We also assessed correlations between the age at onset and at death of each individual and the age at onset and at death of their parents and the mean age at onset and at death of their family members. Lastly, we used mixed effects models to investigate the extent to which variability in age at onset and at death could be accounted for by family membership and the specific mutation carried. Findings: Data were available from 3403 individuals from 1492 families: 1433 with C9orf72 expansions (755 families), 1179 with GRN mutations (483 families, 130 different mutations), and 791 with MAPT mutations (254 families, 67 different mutations). Mean age at symptom onset and at death was 49·5 years (SD 10·0; onset) and 58·5 years (11·3; death) in the MAPT group, 58·2 years (9·8; onset) and 65·3 years (10·9; death) in the C9orf72 group, and 61·3 years (8·8; onset) and 68·8 years (9·7; death) in the GRN group. Mean disease duration was 6·4 years (SD 4·9) in the C9orf72 group, 7·1 years (3·9) in the GRN group, and 9·3 years (6·4) in the MAPT group. Individual age at onset and at death was significantly correlated with both parental age at onset and at death and with mean family age at onset and at death in all three groups, with a stronger correlation observed in the MAPT group (r=0·45 between individual and parental age at onset, r=0·63 between individual and mean family age at onset, r=0·58 between individual and parental age at death, and r=0·69 between individual and mean family age at death) than in either the C9orf72 group (r=0·32 individual and parental age at onset, r=0·36 individual and mean family age at onset, r=0·38 individual and parental age at death, and r=0·40 individual and mean family age at death) or the GRN group (r=0·22 individual and parental age at onset, r=0·18 individual and mean family age at onset, r=0·22 individual and parental age at death, and r=0·32 individual and mean family age at death). Modelling showed that the variability in age at onset and at death in the MAPT group was explained partly by the specific mutation (48%, 95% CI 35–62, for age at onset; 61%, 47–73, for age at death), and even more by family membership (66%, 56–75, for age at onset; 74%, 65–82, for age at death). In the GRN group, only 2% (0–10) of the variability of age at onset and 9% (3–21) of that of age of death was explained by the specific mutation, whereas 14% (9–22) of the variability of age at onset and 20% (12–30) of that of age at death was explained by family membership. In the C9orf72 group, family membership explained 17% (11–26) of the variability of age at onset and 19% (12–29) of that of age at death. Interpretation: Our study showed that age at symptom onset and at death of people with genetic frontotemporal dementia is influenced by genetic group and, particularly for MAPT mutations, by the specific mutation carried and by family membership. Although estimation of age at onset will be an important factor in future pre-symptomatic therapeutic trials for all three genetic groups, our study suggests that data from other members of the family will be particularly helpful only for individuals with MAPT mutations. Further work in identifying both genetic and environmental factors that modify phenotype in all groups will be important to improve such estimates. Funding: UK Medical Research Council, National Institute for Health Research, and Alzheimer's Society. © 2020 Elsevier Ltd
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- 2020
7. Age at symptom onset and death and disease duration in genetic frontotemporal dementia: an international retrospective cohort study
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Moore, KM, Nicholas, J, Grossman, M, McMillan, CT, Irwin, DJ, Massimo, L, Van Deerlin, VM, Warren, JD, Fox, NC, Rossor, MN, Mead, S, Bocchetta, M, Boeve, BF, Knopman, DS, Graff-Radford, NR, Forsberg, LK, Rademakers, R, Wszolek, ZK, van Swieten, JC, Jiskoot, LC, Meeter, LH, Dopper, EGP, Papma, JM, Snowden, JS, Saxon, J, Jones, M, Pickering-Brown, S, Le Ber, I, Camuzat, A, Brice, A, Caroppo, P, Ghidoni, R, Pievani, M, Benussi, L, Binetti, G, Dickerson, BC, Lucente, D, Krivensky, S, Graff, C, Oijerstedt, L, Fallstrom, M, Thonberg, H, Ghoshal, N, Morris, JC, Borroni, B, Benussi, A, Padovani, A, Galimberti, D, Scarpini, E, Fumagalli, GG, Mackenzie, IR, Hsiung, G-YR, Sengdy, P, Boxer, AL, Rosen, H, Taylor, JB, Synofzik, M, Wilke, C, Sulzer, P, Hodges, JR, Halliday, G, Kwok, J, Sanchez-Valle, R, Llado, A, Borrego-Ecija, S, Santana, I, Almeida, MR, Tabuas-Pereira, M, Moreno, F, Barandiaran, M, Indakoetxea, B, Levin, J, Danek, A, Rowe, JB, Cope, TE, Otto, M, Anderl-Straub, S, de Mendonca, A, Maruta, C, Masellis, M, Black, SE, Couratier, P, Lautrette, G, Huey, ED, Sorbi, S, Nacmias, B, Laforce, R, Tremblay, M-PL, Vandenberghe, R, Van Damme, P, Rogalski, EJ, Weintraub, S, Gerhard, A, Onyike, CU, Ducharme, S, Papageorgiou, SG, Ng, ASL, Brodtmann, A, Finger, E, Guerreiro, R, Bras, J, Rohrer, JD, Heller, C, Convery, R, Woollacott, IOC, Shafei, R, Graff-Radford, J, Jones, DT, Dheel, CM, Savica, R, Lapid, MI, Baker, M, Fields, JA, Gavrilova, R, Domoto-Reilly, K, Poos, JM, van der Ende, EL, Panman, JL, Kaat, LD, Seelaar, H, Richardson, A, Frisoni, G, Mega, A, Fostinelli, S, Chiang, H-H, Alberici, A, Arighi, A, Fenoglio, C, Heuer, H, Miller, B, Karydas, A, Fong, J, Leitao, MJ, Santiago, B, Duro, D, Ferreira, C, Gabilondo, A, de Arriba, M, Tainta, M, Zulaica, M, Ferreira, CB, Semler, E, Ludolph, A, Landwehrmeyer, B, Volk, AE, Miltenberger, G, Verdelho, A, Afonso, S, Tartaglia, MC, Freedman, M, Rogaeva, E, Ferrari, C, Piaceri, I, Bessi, V, Lombardi, G, St-Onge, F, Dore, M-C, Bruffaerts, R, Vandenbulcke, M, Van den Stock, J, Mesulam, MM, Bigio, E, Koros, C, Papatriantafyllou, J, Kroupis, C, Stefanis, L, Shoesmith, C, Roberson, E, Coppola, G, Ramos, EMDS, Geschwind, D, Moore, KM, Nicholas, J, Grossman, M, McMillan, CT, Irwin, DJ, Massimo, L, Van Deerlin, VM, Warren, JD, Fox, NC, Rossor, MN, Mead, S, Bocchetta, M, Boeve, BF, Knopman, DS, Graff-Radford, NR, Forsberg, LK, Rademakers, R, Wszolek, ZK, van Swieten, JC, Jiskoot, LC, Meeter, LH, Dopper, EGP, Papma, JM, Snowden, JS, Saxon, J, Jones, M, Pickering-Brown, S, Le Ber, I, Camuzat, A, Brice, A, Caroppo, P, Ghidoni, R, Pievani, M, Benussi, L, Binetti, G, Dickerson, BC, Lucente, D, Krivensky, S, Graff, C, Oijerstedt, L, Fallstrom, M, Thonberg, H, Ghoshal, N, Morris, JC, Borroni, B, Benussi, A, Padovani, A, Galimberti, D, Scarpini, E, Fumagalli, GG, Mackenzie, IR, Hsiung, G-YR, Sengdy, P, Boxer, AL, Rosen, H, Taylor, JB, Synofzik, M, Wilke, C, Sulzer, P, Hodges, JR, Halliday, G, Kwok, J, Sanchez-Valle, R, Llado, A, Borrego-Ecija, S, Santana, I, Almeida, MR, Tabuas-Pereira, M, Moreno, F, Barandiaran, M, Indakoetxea, B, Levin, J, Danek, A, Rowe, JB, Cope, TE, Otto, M, Anderl-Straub, S, de Mendonca, A, Maruta, C, Masellis, M, Black, SE, Couratier, P, Lautrette, G, Huey, ED, Sorbi, S, Nacmias, B, Laforce, R, Tremblay, M-PL, Vandenberghe, R, Van Damme, P, Rogalski, EJ, Weintraub, S, Gerhard, A, Onyike, CU, Ducharme, S, Papageorgiou, SG, Ng, ASL, Brodtmann, A, Finger, E, Guerreiro, R, Bras, J, Rohrer, JD, Heller, C, Convery, R, Woollacott, IOC, Shafei, R, Graff-Radford, J, Jones, DT, Dheel, CM, Savica, R, Lapid, MI, Baker, M, Fields, JA, Gavrilova, R, Domoto-Reilly, K, Poos, JM, van der Ende, EL, Panman, JL, Kaat, LD, Seelaar, H, Richardson, A, Frisoni, G, Mega, A, Fostinelli, S, Chiang, H-H, Alberici, A, Arighi, A, Fenoglio, C, Heuer, H, Miller, B, Karydas, A, Fong, J, Leitao, MJ, Santiago, B, Duro, D, Ferreira, C, Gabilondo, A, de Arriba, M, Tainta, M, Zulaica, M, Ferreira, CB, Semler, E, Ludolph, A, Landwehrmeyer, B, Volk, AE, Miltenberger, G, Verdelho, A, Afonso, S, Tartaglia, MC, Freedman, M, Rogaeva, E, Ferrari, C, Piaceri, I, Bessi, V, Lombardi, G, St-Onge, F, Dore, M-C, Bruffaerts, R, Vandenbulcke, M, Van den Stock, J, Mesulam, MM, Bigio, E, Koros, C, Papatriantafyllou, J, Kroupis, C, Stefanis, L, Shoesmith, C, Roberson, E, Coppola, G, Ramos, EMDS, and Geschwind, D
- Abstract
BACKGROUND: Frontotemporal dementia is a heterogenous neurodegenerative disorder, with about a third of cases being genetic. Most of this genetic component is accounted for by mutations in GRN, MAPT, and C9orf72. In this study, we aimed to complement previous phenotypic studies by doing an international study of age at symptom onset, age at death, and disease duration in individuals with mutations in GRN, MAPT, and C9orf72. METHODS: In this international, retrospective cohort study, we collected data on age at symptom onset, age at death, and disease duration for patients with pathogenic mutations in the GRN and MAPT genes and pathological expansions in the C9orf72 gene through the Frontotemporal Dementia Prevention Initiative and from published papers. We used mixed effects models to explore differences in age at onset, age at death, and disease duration between genetic groups and individual mutations. We also assessed correlations between the age at onset and at death of each individual and the age at onset and at death of their parents and the mean age at onset and at death of their family members. Lastly, we used mixed effects models to investigate the extent to which variability in age at onset and at death could be accounted for by family membership and the specific mutation carried. FINDINGS: Data were available from 3403 individuals from 1492 families: 1433 with C9orf72 expansions (755 families), 1179 with GRN mutations (483 families, 130 different mutations), and 791 with MAPT mutations (254 families, 67 different mutations). Mean age at symptom onset and at death was 49·5 years (SD 10·0; onset) and 58·5 years (11·3; death) in the MAPT group, 58·2 years (9·8; onset) and 65·3 years (10·9; death) in the C9orf72 group, and 61·3 years (8·8; onset) and 68·8 years (9·7; death) in the GRN group. Mean disease duration was 6·4 years (SD 4·9) in the C9orf72 group, 7·1 years (3·9) in the GRN group, and 9·3 years (6·4) in the MAPT group. Individual age at onset and at
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- 2020
8. Interrater reliability of the new criteria for behavioral variant frontotemporal dementia
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LaMarre, A. K., primary, Rascovsky, K., additional, Bostrom, A., additional, Toofanian, P., additional, Wilkins, S., additional, Sha, S. J., additional, Perry, D. C., additional, Miller, Z. A., additional, Naasan, G., additional, Laforce, R. J., additional, Hagen, J., additional, Takada, L. T., additional, Tartaglia, M. C., additional, Kang, G., additional, Galasko, D., additional, Salmon, D. P., additional, Farias, S. T., additional, Kaur, B., additional, Olichney, J. M., additional, Quitania Park, L., additional, Mendez, M. F., additional, Tsai, P.-H., additional, Teng, E., additional, Dickerson, B. C., additional, Domoto-Reilly, K., additional, McGinnis, S., additional, Miller, B. L., additional, and Kramer, J. H., additional
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- 2013
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9. The Prodromal Phase of Frontotemporal Lobar Degeneration: Mild Cognitive Impairment of the FTLD Type (P07.165)
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Domoto-Reilly, K., primary, Negreira, A., additional, Brickhouse, M., additional, Sapolsky, D., additional, and Dickerson, B., additional
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- 2012
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10. Licorice-associated reversible cerebral vasoconstriction with PRES
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Striano, P., primary, Morana, G., additional, Rossi, A., additional, Domoto-Reilly, K., additional, and Singhal, A. B., additional
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- 2011
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11. Licorice-associated reversible cerebral vasoconstriction with PRES
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Chatterjee, N., primary, Domoto-Reilly, K., additional, Fecci, P. E., additional, Schwamm, L. H., additional, and Singhal, A. B., additional
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- 2010
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12. Preserved orthographic length and transitional probabilities in written spelling in a case of acquired dysgraphia.
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Chialant D, Domoto-Reilly K, Proios H, Caramazza A, Chialant, Doriana, Domoto-Reilly, Kimiko, Proios, Hariklia, and Caramazza, Alfonso
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We present the performance of a patient with acquired dysgraphia, DS, who has intact oral spelling (100% correct) but severely impaired written spelling (7% correct). Her errors consisted entirely of well-formed letter substitutions. This striking dissociation is further characterized by consistent preservation of orthographic, as opposed to phonological, length in her written output. This pattern of performance indicates that DS has intact graphemic representations, and that her errors are due to a deficit in letter shape assignment. We further interpret the occurrence of a small percentage of lexical errors in her written responses and a significant effect of letter frequencies and transitional probabilities on the pattern of letter substitutions as the result of a repair mechanism that locally constrains DS' written output. [ABSTRACT FROM AUTHOR]
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- 2002
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13. The role of phonological and orthographic information in lexical selection.
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Alario F, Schiller NO, Domoto-Reilly K, Caramazza A, Alario, F-Xavier, Schiller, Niels O, Domoto-Reilly, Kimiko, and Caramazza, Alfonso
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We report the performance of two patients with lexico-semantic deficits following left MCA CVA. Both patients produce similar numbers of semantic paraphasias in naming tasks, but presented one crucial difference: grapheme-to-phoneme and phoneme-to-grapheme conversion procedures were available only to one of them. We investigated the impact of this availability on the process of lexical selection during word production. The patient for whom conversion procedures were not operational produced semantic errors in transcoding tasks such as reading and writing to dictation; furthermore, when asked to name a given picture in multiple output modalities--e.g., to say the name of a picture and immediately after to write it down--he produced lexically inconsistent responses. By contrast, the patient for whom conversion procedures were available did not produce semantic errors in transcoding tasks and did not produce lexically inconsistent responses in multiple picture-naming tasks. These observations are interpreted in the context of the summation hypothesis (Hillis & Caramazza, 1991), according to which the activation of lexical entries for production would be made on the basis of semantic information and, when available, on the basis of form-specific information. The implementation of this hypothesis in models of lexical access is discussed in detail. [ABSTRACT FROM AUTHOR]
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- 2003
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14. Gene-Specific Effects on Brain Volume and Cognition of TMEM106B in Frontotemporal Lobar Degeneration.
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Vandebergh M, Ramos EM, Corriveau-Lecavalier N, Ramanan VK, Kornak J, Mester C, Kolander T, Brushaber DE, Staffaroni AM, Geschwind DH, Wolf AA, Kantarci K, Gendron T, Petrucelli L, Van den Broeck M, Wynants S, Baker M, Borrego-Écija S, Appleby B, Barmada S, Bozoki AC, Clark D, Darby RR, Dickerson BC, Domoto-Reilly K, Fields JA, Galasko D, Ghoshal N, Graff-Radford NR, Grant IM, Honig LS, Hsiung GR, Huey ED, Irwin DJ, Knopman DS, Kwan JY, Léger GC, Litvan I, Masdeu JC, Mendez MF, Onyike CU, Pascual B, Pressman PS, Ritter A, Roberson ED, Snyder A, Sullivan AC, Tartaglia MC, Wint D, Heuer HW, Forsberg LK, Boxer AL, Rosen HJ, Boeve BF, and Rademakers R
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- Humans, Female, Male, Middle Aged, Aged, Cognition physiology, Organ Size, Cross-Sectional Studies, Longitudinal Studies, Magnetic Resonance Imaging, Membrane Proteins genetics, Frontotemporal Lobar Degeneration genetics, Frontotemporal Lobar Degeneration diagnostic imaging, Frontotemporal Lobar Degeneration pathology, Nerve Tissue Proteins genetics, Brain diagnostic imaging, Brain pathology, Polymorphism, Single Nucleotide, Gray Matter diagnostic imaging, Gray Matter pathology
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Background and Objectives: TMEM106B has been proposed as a modifier of disease risk in FTLD-TDP, particularly in GRN pathogenic variant carriers. Furthermore, TMEM106B has been investigated as a disease modifier in the context of healthy aging and across multiple neurodegenerative diseases. The objective of this study was to evaluate and compare the effect of TMEM106B on gray matter volume and cognition in each of the common genetic FTD groups and in patients with sporadic FTD., Methods: Participants were enrolled through the ARTFL/LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) study, which includes symptomatic and presymptomatic individuals with a pathogenic variant in C9orf72, GRN, MAPT, VCP, TBK1, TARDBP, symptomatic nonpathogenic variant carriers, and noncarrier family controls. All participants were genotyped for the TMEM106B rs1990622 SNP. Cross-sectionally, linear mixed-effects models were fitted to assess an association between TMEM106B and genetic group interaction with each outcome measure (gray matter volume and UDS3-EF for cognition), adjusting for education, age, sex, and CDR+NACC-FTLD sum of boxes. Subsequently, associations between TMEM106B and each outcome measure were investigated within the genetic group. For longitudinal modeling, linear mixed-effects models with time by TMEM106B predictor interactions were fitted., Results: The minor allele of TMEM106B rs1990622, linked to a decreased risk of FTD, associated with greater gray matter volume in GRN pathogenic variant carriers under the recessive dosage model (N = 82, beta = 3.25, 95% CI [0.37-6.19], p = 0.034). This was most pronounced in the thalamus in the left hemisphere (beta = 0.03, 95% CI [0.01-0.06], p = 0.006), with a retained association when considering presymptomatic GRN pathogenic variant carriers only (N = 42, beta = 0.03, 95% CI [0.01-0.05], p = 0.003). The minor allele of TMEM106B rs1990622 also associated with greater cognitive scores among all C9orf72 pathogenic variant carriers (N = 229, beta = 0.36, 95% CI [0.05-0.066], p = 0.021) and in presymptomatic C9orf72 pathogenic variant carriers (N = 106, beta = 0.33, 95% CI [0.03-0.63], p = 0.036), under the recessive dosage model., Discussion: We identified associations of TMEM106B with gray matter volume and cognition in the presence of GRN and C9orf72 pathogenic variants. The association of TMEM106B with outcomes of interest in presymptomatic GRN and C9orf72 pathogenic variant carriers could additionally reflect TMEM106B's effect on divergent pathophysiologic changes before the appearance of clinical symptoms.
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- 2024
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15. Better cardiovascular health is associated with slowed clinical progression in autosomal dominant frontotemporal lobar degeneration variant carriers.
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VandeBunte AM, Lee H, Paolillo EW, Hsiung GR, Staffaroni AM, Saloner R, Tartaglia C, Yaffe K, Knopman DS, Ramos EM, Rascovsky K, Bozoki AC, Wong B, Domoto-Reilly K, Snyder A, Pressman P, Mendez MF, Litvan I, Fields JA, Galasko DR, Darby R, Masdeu JC, Pasqual MB, Honig LS, Ghoshal N, Appleby BS, Mackenzie IR, Heuer HW, Kramer JH, Boxer AL, Forsberg LK, Boeve B, Rosen HJ, and Casaletto KB
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- Humans, Male, Female, Middle Aged, Magnetic Resonance Imaging, White Matter pathology, White Matter diagnostic imaging, Heterozygote, Aged, Cognitive Dysfunction genetics, Cognitive Dysfunction pathology, Brain pathology, Brain diagnostic imaging, Neuroimaging, Frontotemporal Lobar Degeneration genetics, Frontotemporal Lobar Degeneration pathology, Disease Progression, Neuropsychological Tests statistics & numerical data
- Abstract
Introduction: Cardiovascular health is important for brain aging, yet its role in the clinical manifestation of autosomal dominant or atypical forms of dementia has not been fully elucidated. We examined relationships between Life's Simple 7 (LS7) and clinical trajectories in individuals with autosomal dominant frontotemporal lobar degeneration (FTLD)., Methods: Two hundred forty-seven adults carrying FTLD pathogenic genetic variants (53% asymptomatic) and 189 non-carrier controls completed baseline LS7, and longitudinal neuroimaging and neuropsychological testing., Results: Among variant carriers, higher baseline LS7 is associated with slower accumulation of frontal white matter hyperintensities (WMHs), as well as slower memory and language declines. Higher baseline LS7 associated with larger baseline frontotemporal volume, but not frontotemporal volume trajectories., Discussion: Better baseline cardiovascular health related to slower cognitive decline and accumulation of frontal WMHs in autosomal dominant FTLD. Optimizing cardiovascular health may be an important modifiable approach to bolster cognitive health and brain integrity in FTLD., Highlights: Better cardiovascular health associates with slower cognitive decline in frontotemporal lobar degeneration (FTLD). Lifestyle relates to the accumulation of frontal white matter hyperintensities in FTLD. More optimal cardiovascular health associates with greater baseline frontotemporal lobe volume. Optimized cardiovascular health relates to more favorable outcomes in genetic dementia., (© 2024 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)
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- 2024
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16. Neuropsychiatric Symptoms Cluster and Fluctuate Over Time in Behavioral Variant Frontotemporal Dementia.
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Morrow CB, Kamath V, Dickerson BC, Eldaief M, Rezaii N, Wong B, McGinnis S, Darby R, Staffaroni AM, Lapid MI, Pascual B, Rojas JC, Masdeu JC, Tsapkini K, Huey ED, Fisher DW, Pantelyat A, Balaji A, Sah E, Litvan I, Rascovsky K, Ghoshal N, Domoto-Reilly K, Kornak J, and Onyike CU
- Abstract
Objectives: Cognitive and behavioral phenomena define behavioral variant frontotemporal dementia (bvFTD), but neuropsychiatric symptoms (NPS) outside the core criteria are common throughout the illness. Identifying how NPS cluster in bvFTD may clarify the underlying neurobiology of bvFTD-related NPS and guide development of therapies., Methodology: Participants (N=354) with sporadic and genetic bvFTD were enrolled in the ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration Consortium. Dementia stage was defined as early (CDR
® plus NACC FTLD ≤ 1) or advanced (CDR® plus NACC FTLD ≥ 1). Baseline and annual follow-up visit data were analyzed to compare NPS across stages of bvFTD. Psychiatric states were captured using the Neuropsychiatric Inventory-Questionnaire and Clinician Judgement of Symptoms. Polychoric cluster analysis was used to describe NPS clusters., Results: NPS were highly prevalent (≥ 90%) in early and late bvFTD. Four NPS clusters were identified based on magnitude of factor loadings: affective, disinhibited, compulsive, and psychosis. Neuropsychiatric symptoms fluctuated across visits. In the affective cluster, depression and anxiety showed the least visit-to-visit stability. In the disinhibited cluster, elation showed the least stability. Symptoms in the psychosis and compulsive clusters (hallucinations, delusions, obsessions/compulsions, and hyperorality) were largely stable, persisting from visit-to-visit in more than 50% of cases., Conclusion: NPS in bvFTD are frequent and cluster into four discrete groups in bvFTD. These clusters may result from specific neural network disruptions that could serve as targets for future interventions. The fluctuating nature of NPS in bvFTD suggests that they are not reliable markers of disease progression or stage.- Published
- 2024
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17. Study protocol for the Functional Communication Checklist for people living with primary progressive aphasia.
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Gallée J, Cartwright J, Henry ML, Mooney A, Stark BC, Volkmer A, Nakano C, Fredericksen RJ, Domoto-Reilly K, and Crane PK
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- Humans, Checklist, Reproducibility of Results, Aphasia, Primary Progressive diagnosis, Communication
- Abstract
This study protocol describes the development of the first instrument of functional communication for people living with primary progressive aphasia (PPA), with future applications to other progressive conditions, with expert validation, item-level reliability analyses, input from partners in research, and outcomes. Progressive conditions like PPA require monitoring, and as such, re-assessment. Re-assessment poses the high risk of being burdensome, destructive, and of little use to the patient. As such, there is a significant need to establish a validated and reliable measure that (1) poses minimal patient burden and (2) captures communication ability in a strengths-based manner for both clinical and research purposes. A strengths-based approach to assessment is widely recognized as the optimal way to promote patient autonomy, minimize harm, and implement functional treatment protocols and strategies. To date, there are no strengths-based assessment tools that were developed for people living with PPA nor ways to efficiently document functional communication performance. This study protocol outlines our work to address this gap in clinical practice and research., Competing Interests: The authors have declared that no competing interests exist. The experimental approach described in this manuscript is supported by a 2024-2025 University of Washington Alzheimer’s Disease Research Center Development Project Award (JG). This work was also supported by the National Institute on Aging (U24 AG074855: JG & PKC; P30 AG066509: KDR)., (Copyright: © 2024 Gallée et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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18. A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment.
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Chen AT, Child CE, Grace Asirot M, Domoto-Reilly K, and Turner AM
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- Humans, Female, Male, Aged, Caregivers psychology, Middle Aged, Decision Making, Aged, 80 and over, Dementia therapy, Cognitive Dysfunction therapy, Communication
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Background: Persons with cognitive impairment may experience difficulties with language and cognition that interfere with their ability to communicate about health-related decision making., Objective: We developed a visual elicitation technique to facilitate conversations about preferences concerning potential future supportive care needs and explored the utility of this technique in a qualitative interview study., Methods: We conducted 15 online interviews with persons with mild cognitive impairment and mild to moderate dementia, using storytelling and a virtual tool designed to facilitate discussion about preferences for supportive care. Interviews were transcribed verbatim and analyzed using an inductive qualitative data analysis method. We report our findings with respect to several main themes. First, we considered participants' perspectives on supportive care. Next, we examined the utility of the tool for engaging participants in conversation through two themes: cognitive and communicative processes exhibited by participants; and dialogic interactions between the interviewer and the participant., Results: With respect to participants' perspectives on supportive care, common themes included considerations relating to informal caregivers such as availability and burden, and the quality of care options such as paid caregivers. Other themes, such as the importance of making decisions as a family, considerations related to facing these challenges on one's own, and the fluid nature of decision making, also emerged. Common communicative processes included not being responsive to the question and unclear responses. Common cognitive processes included uncertainty and introspection, or self-awareness, of one's cognitive abilities. Last, we examined dialogic interactions between the participant and the interviewer to better understand engagement with the tool. The interviewer was active in using the visualization tool to facilitate the conversation, and participants engaged with the interface to varying degrees. Some participants expressed greater agency and involvement through suggesting images, elaborating on their or the interviewer's comments, and suggesting icon labels., Conclusion: This article presents a visual method to engage older adults with cognitive impairment in active dialogue about complex decisions. Though designed for a research setting, the diverse communication and participant-interviewer interaction patterns observed in this study suggest that the tool might be adapted for use in clinical or community settings., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)
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- 2024
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19. Clinicopathologic Characterization of 2 Individuals With TBK1 Variants-1 Novel Splice Variant, 2 Proteinopathies: A Case Series.
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Domoto-Reilly K, Distad BJ, Miller DE, Lin YH, Ivanick D, Warren AS, Jayadev S, and Latimer CS
- Abstract
Objectives: Here, we report detailed clinicopathologic evaluation of 2 individuals with pathogenic variants in TBK1 , including one novel likely pathogenic splice variant. We describe the striking diversity of clinical phenotypes among family members and also the brain and spinal cord neuropathology associated with these 2 distinct TBK1 variants., Methods: Two individuals with pathogenic variants in TBK1 and their families were clinically characterized, and the probands subsequently underwent extensive postmortem neuropathologic examination of their brains and spinal cords., Results: Multiple affected individuals within a single family were found to carry a previously unreported c.358+3A>G variant, predicted to alter splicing. Detailed histopathologic evaluation of our 2 TBK1 variant carriers demonstrated distinct TDP-43 pathologic subtypes, but shared argyrophilic grain disease (AGD) tau pathology., Discussion: Although all pathogenic TBK1 variants are associated with TDP-43 pathology, the clinical and histologic features can be highly variable. Within one family, we describe distinct neurologic presentations which we propose are all caused by a novel c.358+3A>G variant. AGD is typically associated with older age, but it has been described as a copathologic finding in other TBK1 variant carriers and may be a common feature in FTLD-TDP due to TBK1 ., Competing Interests: K. Domoto-Reilly reports research funding from NIH U19AG063911; B.J. Distad reports no disclosures relevant to the manuscript; D.E. Miller reports participation on a scientific advisory board at Oxford Nanopore Technologies (ONT), engagement in a research agreement with ONT, and has received travel compensation from ONT; Y.-H. Lin reports no disclosures relevant to the manuscript; D. Ivanick reports no disclosures relevant to the manuscript; A.S. Warren reports no disclosures relevant to the manuscript; S. Jayadev reports no disclosures relevant to the manuscript; C. Latimer reports no disclosures relevant to the manuscript. Go to Neurology.org/NG for full disclosures., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)
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- 2024
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20. Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study.
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Paolillo EW, Casaletto KB, Clark AL, Taylor JC, Heuer HW, Wise AB, Dhanam S, Sanderson-Cimino M, Saloner R, Kramer JH, Kornak J, Kremers W, Forsberg L, Appleby B, Bayram E, Bozoki A, Brushaber D, Darby RR, Day GS, Dickerson BC, Domoto-Reilly K, Elahi F, Fields JA, Ghoshal N, Graff-Radford N, G H Hall M, Honig LS, Huey ED, Lapid MI, Litvan I, Mackenzie IR, Masdeu JC, Mendez MF, Mester C, Miyagawa T, Naasan G, Pascual B, Pressman P, Ramos EM, Rankin KP, Rexach J, Rojas JC, VandeVrede L, Wong B, Wszolek ZK, Boeve BF, Rosen HJ, Boxer AL, and Staffaroni AM
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- Humans, Female, Male, Middle Aged, Aged, Severity of Illness Index, Proof of Concept Study, Adult, Longitudinal Studies, Neuropsychological Tests, Mobile Applications, Frontotemporal Dementia diagnosis, Frontotemporal Dementia physiopathology, Smartphone
- Abstract
Background: Frontotemporal lobar degeneration (FTLD) is a leading cause of dementia in individuals aged <65 years. Several challenges to conducting in-person evaluations in FTLD illustrate an urgent need to develop remote, accessible, and low-burden assessment techniques. Studies of unobtrusive monitoring of at-home computer use in older adults with mild cognitive impairment show that declining function is reflected in reduced computer use; however, associations with smartphone use are unknown., Objective: This study aims to characterize daily trajectories in smartphone battery use, a proxy for smartphone use, and examine relationships with clinical indicators of severity in FTLD., Methods: Participants were 231 adults (mean age 52.5, SD 14.9 years; n=94, 40.7% men; n=223, 96.5% non-Hispanic White) enrolled in the Advancing Research and Treatment of Frontotemporal Lobar Degeneration (ARTFL study) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS study) Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) Mobile App study, including 49 (21.2%) with mild neurobehavioral changes and no functional impairment (ie, prodromal FTLD), 43 (18.6%) with neurobehavioral changes and functional impairment (ie, symptomatic FTLD), and 139 (60.2%) clinically normal adults, of whom 55 (39.6%) harbored heterozygous pathogenic or likely pathogenic variants in an autosomal dominant FTLD gene. Participants completed the Clinical Dementia Rating plus National Alzheimer's Coordinating Center Frontotemporal Lobar Degeneration Behavior and Language Domains (CDR+NACC FTLD) scale, a neuropsychological battery; the Neuropsychiatric Inventory; and brain magnetic resonance imaging. The ALLFTD Mobile App was installed on participants' smartphones for remote, passive, and continuous monitoring of smartphone use. Battery percentage was collected every 15 minutes over an average of 28 (SD 4.2; range 14-30) days. To determine whether temporal patterns of battery percentage varied as a function of disease severity, linear mixed effects models examined linear, quadratic, and cubic effects of the time of day and their interactions with each measure of disease severity on battery percentage. Models covaried for age, sex, smartphone type, and estimated smartphone age., Results: The CDR+NACC FTLD global score interacted with time on battery percentage such that participants with prodromal or symptomatic FTLD demonstrated less change in battery percentage throughout the day (a proxy for less smartphone use) than clinically normal participants (P<.001 in both cases). Additional models showed that worse performance in all cognitive domains assessed (ie, executive functioning, memory, language, and visuospatial skills), more neuropsychiatric symptoms, and smaller brain volumes also associated with less battery use throughout the day (P<.001 in all cases)., Conclusions: These findings support a proof of concept that passively collected data about smartphone use behaviors associate with clinical impairment in FTLD. This work underscores the need for future studies to develop and validate passive digital markers sensitive to longitudinal clinical decline across neurodegenerative diseases, with potential to enhance real-world monitoring of neurobehavioral change., (©Emily W Paolillo, Kaitlin B Casaletto, Annie L Clark, Jack C Taylor, Hilary W Heuer, Amy B Wise, Sreya Dhanam, Mark Sanderson-Cimino, Rowan Saloner, Joel H Kramer, John Kornak, Walter Kremers, Leah Forsberg, Brian Appleby, Ece Bayram, Andrea Bozoki, Danielle Brushaber, R Ryan Darby, Gregory S Day, Bradford C Dickerson, Kimiko Domoto-Reilly, Fanny Elahi, Julie A Fields, Nupur Ghoshal, Neill Graff-Radford, Matthew G H Hall, Lawrence S Honig, Edward D Huey, Maria I Lapid, Irene Litvan, Ian R Mackenzie, Joseph C Masdeu, Mario F Mendez, Carly Mester, Toji Miyagawa, Georges Naasan, Belen Pascual, Peter Pressman, Eliana Marisa Ramos, Katherine P Rankin, Jessica Rexach, Julio C Rojas, Lawren VandeVrede, Bonnie Wong, Zbigniew K Wszolek, Bradley F Boeve, Howard J Rosen, Adam L Boxer, Adam M Staffaroni, ALLFTD Consortium. Originally published in JMIR Aging (https://aging.jmir.org), 26.06.2024.)
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- 2024
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21. Deciphering Distinct Genetic Risk Factors for FTLD-TDP Pathological Subtypes via Whole-Genome Sequencing.
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Pottier C, Küçükali F, Baker M, Batzler A, Jenkins GD, van Blitterswijk M, Vicente CT, De Coster W, Wynants S, Van de Walle P, Ross OA, Murray ME, Faura J, Haggarty SJ, van Rooij JG, Mol MO, Hsiung GR, Graff C, Öijerstedt L, Neumann M, Asmann Y, McDonnell SK, Baheti S, Josephs KA, Whitwell JL, Bieniek KF, Forsberg L, Heuer H, Lago AL, Geier EG, Yokoyama JS, Oddi AP, Flanagan M, Mao Q, Hodges JR, Kwok JB, Domoto-Reilly K, Synofzik M, Wilke C, Onyike C, Dickerson BC, Evers BM, Dugger BN, Munoz DG, Keith J, Zinman L, Rogaeva E, Suh E, Gefen T, Geula C, Weintraub S, Diehl-Schmid J, Farlow MR, Edbauer D, Woodruff BK, Caselli RJ, Donker Kaat LL, Huey ED, Reiman EM, Mead S, King A, Roeber S, Nana AL, Ertekin-Taner N, Knopman DS, Petersen RC, Petrucelli L, Uitti RJ, Wszolek ZK, Ramos EM, Grinberg LT, Gorno Tempini ML, Rosen HJ, Spina S, Piguet O, Grossman M, Trojanowski JQ, Keene DC, Lee-Way J, Prudlo J, Geschwind DH, Rissman RA, Cruchaga C, Ghetti B, Halliday GM, Beach TG, Serrano GE, Arzberger T, Herms J, Boxer AL, Honig LS, Vonsattel JP, Lopez OL, Kofler J, White CL, Gearing M, Glass J, Rohrer JD, Irwin DJ, Lee EB, Van Deerlin V, Castellani R, Mesulam MM, Tartaglia MC, Finger EC, Troakes C, Al-Sarraj S, Miller BL, Seelaar H, Graff-Radford NR, Boeve BF, Mackenzie IR, van Swieten JC, Seeley WW, Sleegers K, Dickson DW, Biernacka JM, and Rademakers R
- Abstract
Frontotemporal lobar degeneration with neuronal inclusions of the TAR DNA-binding protein 43 (FTLD-TDP) is a fatal neurodegenerative disorder with only a limited number of risk loci identified. We report our comprehensive genome-wide association study as part of the International FTLD-TDP Whole-Genome Sequencing Consortium, including 985 cases and 3,153 controls, and meta-analysis with the Dementia-seq cohort, compiled from 26 institutions/brain banks in the United States, Europe and Australia. We confirm UNC13A as the strongest overall FTLD-TDP risk factor and identify TNIP1 as a novel FTLD-TDP risk factor. In subgroup analyses, we further identify for the first time genome-wide significant loci specific to each of the three main FTLD-TDP pathological subtypes (A, B and C), as well as enrichment of risk loci in distinct tissues, brain regions, and neuronal subtypes, suggesting distinct disease aetiologies in each of the subtypes. Rare variant analysis confirmed TBK1 and identified VIPR1 , RBPJL , and L3MBTL1 as novel subtype specific FTLD-TDP risk genes, further highlighting the role of innate and adaptive immunity and notch signalling pathway in FTLD-TDP, with potential diagnostic and novel therapeutic implications.
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- 2024
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22. Epidemiology and prevalence of dementia and Alzheimer's disease in American Indians: Data from the Strong Heart Study.
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Suchy-Dicey AM, Domoto-Reilly K, Nelson L, Jayadev S, Buchwald DS, Grabowski TJ, and Rhoads K
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- Humans, Female, Male, Aged, Prevalence, Aged, 80 and over, Cognitive Dysfunction epidemiology, Cognitive Dysfunction ethnology, United States epidemiology, Cohort Studies, Neuropsychological Tests statistics & numerical data, Alzheimer Disease epidemiology, Alzheimer Disease ethnology, Dementia epidemiology, Dementia ethnology, Indians, North American statistics & numerical data
- Abstract
Introduction: Accurate epidemiologic estimates for dementia are lacking for American Indians, despite substantive social and health disparities., Methods: The Strong Heart Study, a population-based cohort of 11 American Indian tribes, conducted detailed cognitive testing and examinations over two visits approximately 7 years apart. An expert panel reviewed case materials for consensus adjudication of cognitive status (intact; mild cognitive impairment [MCI]; dementia; other impaired/not MCI) and probable etiology (Alzheimer's disease [AD], vascular bain injury [VBI], traumatic brain injury [TBI], other)., Results: American Indians aged 70-95 years had 54% cognitive impairment including 10% dementia. VBI and AD were primary etiology approximately equal proportions (>40%). Apolipoprotein (APO) Eε4 carriers were more common among those with dementia (p = 0.040). Plasma pTau, glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) were higher among those with cognitive impairment, but not amyloid beta (Aβ). Cognitive intact had mean 3MSE 92.2 (SD 6.4) and mean Montreal Cognitive Assessment (MoCA) score of 21.3 (SD 3.2)., Discussion: This is the first population-based study to estimate the prevalence of vascular and Alzheimer's dementias in a population-based study of American Indians., Highlights: The Strong Heart Study is a population-based cohort of American Indian tribes, conducted over 30+ years and three US geographic regions (Northern Plains, Southern Plains, Southwest). Our teams conducted detailed cognitive testing, neurological examination, and brain imaging over two visits approximately 7 years apart. An expert panel reviewed collected materials for consensus-based adjudication of cognitive status (intact; MCI; dementia; other impaired/not MCI) and probable underlying etiology (AD; VBI; TBI; other). In this cohort of American Indians aged 70-95, 54% were adjudicated with cognitive impairment, including approximately 35% MCI and 10% dementia. These data expand on prior reports from studies using electronic health records, which had suggested prevalence, and incidence of dementia in American Indians to be more comparable to the majority population or non-Hispanic White individuals, perhaps due to latent case undercounts in clinical settings. Vascular and neurodegenerative injuries were approximately equally responsible for cognitive impairment, suggesting that reduction of cardiovascular disease is needed for primary prevention. Traumatic injury was more prevalent than in other populations, and common among those in the "other/not MCI" cognitive impairment category. Mean scores for common dementia screening instruments-even among those adjudicated as unimpaired-were relatively low compared to other populations (mean unimpaired 3MSE 92.2, SD 6.4; mean unimpaired MoCA 21.3, SD 3.2), suggesting the need for cultural and environmental adaptation of common screening and evaluation instruments., (© 2024 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)
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- 2024
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23. Cerebrospinal fluid soluble insulin receptor levels in Alzheimer's disease.
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Thomas P, Leclerc M, Evitts K, Brown C, Miller W, Hanson AJ, Banks WA, Gibbons L, Domoto-Reilly K, Jayadev S, Li G, Peskind E, Young JE, Calon F, and Rhea EM
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Introduction: Brain insulin resistance and deficiency is a consistent feature of Alzheimer's disease (AD). Insulin resistance can be mediated by the surface expression of the insulin receptor (IR). Cleavage of the IR generates the soluble IR (sIR)., Methods: We measured the levels of sIR present in cerebrospinal fluid (CSF) from individuals along the AD diagnostic spectrum from two cohorts: Seattle ( n = 58) and the Consortium for the Early Identification of Alzheimer's Disease-Quebec (CIMA-Q; n = 61). We further investigated the brain cellular contribution for sIR using human cell lines., Results: CSF sIR levels were not statistically different in AD. CSF sIR and amyloid beta (Aβ)42 and Aβ40 levels significantly correlated as well as CSF sIR and cognition in the CIMA-Q cohort. Human neurons expressing the amyloid precursor protein "Swedish" mutation generated significantly greater sIR and human astrocytes were also able to release sIR in response to both an inflammatory and insulin stimulus., Discussion: These data support further investigation into the generation and role of sIR in AD., Highlights: Cerebrospinal fluid (CSF) soluble insulin receptor (sIR) levels positively correlate with amyloid beta (Aβ)42 and Aβ40.CSF sIR levels negatively correlate with cognitive performance (Montreal Cognitive Assessment score).CSF sIR levels in humans remain similar across Alzheimer's disease diagnostic groups.Neurons derived from humans with the "Swedish" mutation in which Aβ42 is increased generate increased levels of sIR.Human astrocytes can also produce sIR and generation is stimulated by tumor necrosis factor α and insulin., Competing Interests: The authors declare no conflicts of interest. Author disclosures are available in the supporting information., (© 2024 The Author(s). Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)
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- 2024
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24. Reliability and Validity of Smartphone Cognitive Testing for Frontotemporal Lobar Degeneration.
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Staffaroni AM, Clark AL, Taylor JC, Heuer HW, Sanderson-Cimino M, Wise AB, Dhanam S, Cobigo Y, Wolf A, Manoochehri M, Forsberg L, Mester C, Rankin KP, Appleby BS, Bayram E, Bozoki A, Clark D, Darby RR, Domoto-Reilly K, Fields JA, Galasko D, Geschwind D, Ghoshal N, Graff-Radford N, Grossman M, Hsiung GY, Huey ED, Jones DT, Lapid MI, Litvan I, Masdeu JC, Massimo L, Mendez MF, Miyagawa T, Pascual B, Pressman P, Ramanan VK, Ramos EM, Rascovsky K, Roberson ED, Tartaglia MC, Wong B, Miller BL, Kornak J, Kremers W, Hassenstab J, Kramer JH, Boeve BF, Rosen HJ, and Boxer AL
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- Adult, Aged, Female, Humans, Male, Middle Aged, Cohort Studies, Neuropsychological Tests, Reproducibility of Results, Smartphone, Clinical Trials as Topic, Frontotemporal Dementia diagnosis, Frontotemporal Lobar Degeneration diagnosis, Frontotemporal Lobar Degeneration pathology, Frontotemporal Lobar Degeneration psychology
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Importance: Frontotemporal lobar degeneration (FTLD) is relatively rare, behavioral and motor symptoms increase travel burden, and standard neuropsychological tests are not sensitive to early-stage disease. Remote smartphone-based cognitive assessments could mitigate these barriers to trial recruitment and success, but no such tools are validated for FTLD., Objective: To evaluate the reliability and validity of smartphone-based cognitive measures for remote FTLD evaluations., Design, Setting, and Participants: In this cohort study conducted from January 10, 2019, to July 31, 2023, controls and participants with FTLD performed smartphone application (app)-based executive functioning tasks and an associative memory task 3 times over 2 weeks. Observational research participants were enrolled through 18 centers of a North American FTLD research consortium (ALLFTD) and were asked to complete the tests remotely using their own smartphones. Of 1163 eligible individuals (enrolled in parent studies), 360 were enrolled in the present study; 364 refused and 439 were excluded. Participants were divided into discovery (n = 258) and validation (n = 102) cohorts. Among 329 participants with data available on disease stage, 195 were asymptomatic or had preclinical FTLD (59.3%), 66 had prodromal FTLD (20.1%), and 68 had symptomatic FTLD (20.7%) with a range of clinical syndromes., Exposure: Participants completed standard in-clinic measures and remotely administered ALLFTD mobile app (app) smartphone tests., Main Outcomes and Measures: Internal consistency, test-retest reliability, association of smartphone tests with criterion standard clinical measures, and diagnostic accuracy., Results: In the 360 participants (mean [SD] age, 54.0 [15.4] years; 209 [58.1%] women), smartphone tests showed moderate-to-excellent reliability (intraclass correlation coefficients, 0.77-0.95). Validity was supported by association of smartphones tests with disease severity (r range, 0.38-0.59), criterion-standard neuropsychological tests (r range, 0.40-0.66), and brain volume (standardized β range, 0.34-0.50). Smartphone tests accurately differentiated individuals with dementia from controls (area under the curve [AUC], 0.93 [95% CI, 0.90-0.96]) and were more sensitive to early symptoms (AUC, 0.82 [95% CI, 0.76-0.88]) than the Montreal Cognitive Assessment (AUC, 0.68 [95% CI, 0.59-0.78]) (z of comparison, -2.49 [95% CI, -0.19 to -0.02]; P = .01). Reliability and validity findings were highly similar in the discovery and validation cohorts. Preclinical participants who carried pathogenic variants performed significantly worse than noncarrier family controls on 3 app tasks (eg, 2-back β = -0.49 [95% CI, -0.72 to -0.25]; P < .001) but not a composite of traditional neuropsychological measures (β = -0.14 [95% CI, -0.42 to 0.14]; P = .32)., Conclusions and Relevance: The findings of this cohort study suggest that smartphones could offer a feasible, reliable, valid, and scalable solution for remote evaluations of FTLD and may improve early detection. Smartphone assessments should be considered as a complementary approach to traditional in-person trial designs. Future research should validate these results in diverse populations and evaluate the utility of these tests for longitudinal monitoring.
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- 2024
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25. Large-scale network analysis of the cerebrospinal fluid proteome identifies molecular signatures of frontotemporal lobar degeneration.
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Saloner R, Staffaroni A, Dammer E, Johnson ECB, Paolillo E, Wise A, Heuer H, Forsberg L, Lago AL, Webb J, Vogel J, Santillo A, Hansson O, Kramer J, Miller B, Li J, Loureiro J, Sivasankaran R, Worringer K, Seyfried N, Yokoyama J, Seeley W, Spina S, Grinberg L, VandeVrede L, Ljubenkov P, Bayram E, Bozoki A, Brushaber D, Considine C, Day G, Dickerson B, Domoto-Reilly K, Faber K, Galasko D, Geschwind D, Ghoshal N, Graff-Radford N, Hales C, Honig L, Hsiung GY, Huey E, Kornak J, Kremers W, Lapid M, Lee S, Litvan I, McMillan C, Mendez M, Miyagawa T, Pantelyat A, Pascual B, Paulson H, Petrucelli L, Pressman P, Ramos E, Rascovsky K, Roberson E, Savica R, Snyder A, Sullivan AC, Tartaglia C, Vandebergh M, Boeve B, Rosen H, Rojas J, Boxer A, and Casaletto K
- Abstract
The pathophysiological mechanisms driving disease progression of frontotemporal lobar degeneration (FTLD) and corresponding biomarkers are not fully understood. We leveraged aptamer-based proteomics (> 4,000 proteins) to identify dysregulated communities of co-expressed cerebrospinal fluid proteins in 116 adults carrying autosomal dominant FTLD mutations ( C9orf72, GRN, MAPT ) compared to 39 noncarrier controls. Network analysis identified 31 protein co-expression modules. Proteomic signatures of genetic FTLD clinical severity included increased abundance of RNA splicing (particularly in C9orf72 and GRN ) and extracellular matrix (particularly in MAPT ) modules, as well as decreased abundance of synaptic/neuronal and autophagy modules. The generalizability of genetic FTLD proteomic signatures was tested and confirmed in independent cohorts of 1) sporadic progressive supranuclear palsy-Richardson syndrome and 2) frontotemporal dementia spectrum syndromes. Network-based proteomics hold promise for identifying replicable molecular pathways in adults living with FTLD. 'Hub' proteins driving co-expression of affected modules warrant further attention as candidate biomarkers and therapeutic targets., Competing Interests: Competing Interests A.M.S. received research support from the NIA/NIH, the Bluefield Project to Cure FTD, and the Larry L. Hillblom Foundation. He has provided consultation to Alector, Lilly, Passage Bio, and Takeda. L.F. receives research support from the NIH. OH has received research support (for the institution) from AVID Radiopharmaceuticals, Biogen, C2N Diagnostics, Eli Lilly, Eisai, Fujirebio, GE Healthcare, and Roche. In the past 2 years, he has received consultancy/speaker fees from AC Immune, Alzpath, BioArctic, Biogen, Bristol Meyer Squibb, Cerveau, Eisai, Eli Lilly, Fujirebio, Merck, Novartis, Novo Nordisk, Roche, Sanofi and Siemens. J.S.Y. receives research support from the NIH. P.L. is a site primary investigator for clinical trials by Alector, AbbVie and Woolsey. He serves as an advisor for Retrotrope. He receives research and salary support from the NIH-NIA and the Alzheimer’s Association-Part the Cloud partnership. E.B. receives research support from the NIH and Lewy Body Dementia Association. B.C.D. is a consultant for Acadia, Alector, Arkuda, Biogen, Denali, Eisai, Genentech, Lilly, Merck, Novartis, Takeda and Wave Lifesciences; receives royalties from Cambridge University Press, Elsevier and Oxford University Press; and receives grant funding from the NIA, the National Institute of Neurological Disorders and Stroke, the National Institute of Mental Health and the Bluefield Foundation. K.D.-R. receives research support from the NIH and serves as an investigator for a clinical trial sponsored by Lawson Health Research Institute. K.F. receives research support from the NIH. J.A.F. receives research support from the NIH. N.G. has participated or is currently participating in clinical trials of anti-dementia drugs sponsored by Bristol Myers Squibb, Eli Lilly/Avid Radiopharmaceuticals, Janssen Immunotherapy, Novartis, Pfizer, Wyeth, SNIFF (The Study of Nasal Insulin to Fight Forgetfulness) and the A4 (The Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease) trial; and receives research support from Tau Consortium, the Association for Frontotemporal Dementia and the NIH. N.G.-R. receives royalties from UpToDate and has participated in multicenter therapy studies by sponsored by Biogen, TauRx, and Lilly; and receives research support from the NIH. C.M.H. is a Site PI or SubI for several industry (Alector, Janssen, Biogen, Cogito Tx) sponsored clinical trials with funding through Emory Office of Sponsored Programs. L.S.H. receives research funding from Abbvie, Acumen, Alector, Biogen, BMS, Eisai, Genentech/Roche, Janssen/J&J, Transposon, UCB, Vaccinex; and receives consulting fees from Biogen, Cortexyme, Eisai, Medscape, Prevail/Lilly. G.-Y.H. has served as an investigator for clinical trials sponsored by AstraZeneca, Eli Lilly and Roche/Genentech; and he receives research support from the Canadian Institutes of Health Research and the Alzheimer Society of British Columbia. E.D.H. receives research support from the NIH. J. Kornak has provided expert witness testimony for Teva Pharmaceuticals in Forest Laboratories Inc. et al. v. Teva Pharmaceuticals USA, Inc., case numbers 1:14-cv-00121 and 1:14-cv-00686 (D. Del. filed 31 January 2014 and 30 May 2014 regarding the drug Memantine) and for Apotex/HEC/Ezra in Novartis AG et al. v. Apotex Inc., case number 1:15-cv-975 (D. Del. filed 26 October 2015 regarding the drug Fingolimod); he has also given testimony on behalf of Puma Biotechnology in Hsingching Hsu et al, vs. Puma Biotechnology, Inc., et al. 2018 regarding the drug Neratinib; and he receives research support from the NIH. W.K. receives research funding from AstraZeneca, Biogen, Roche, the Department of Defense and the NIH. M.I.L. receives research support from the NIH. I.L.’s research is supported by the National Institutes of Health grants: 2R01AG038791–06A, U01NS100610, U01NS80818, R25NS098999; U19 AG063911–1 and 1R21NS114764–01A1; the Michael J Fox Foundation, Parkinson Foundation, Lewy Body Association, CurePSP, Roche, Abbvie, Biogen, Centogene. EIP-Pharma, Biohaven Pharmaceuticals, Novartis, Brain Neurotherapy Bio and United Biopharma SRL - UCB. She is a Scientific advisor for Amydis and Rossy Center for Progressive Supranuclear Palsy University of Toronto. She receives her salary from the University of California San Diego and as Chief Editor of Frontiers in Neurology. C.T.M receives funding from NIH and Penn Institute on Aging. M.F.M. receives research support from the NIH. A.P. receives research support from the NIH (U01 NS102035; K23 AG059891). H.P. receives research support from the NIH. L.P. receives research support from the NIH. E.M.R. receives research support from the NIH. K.R. receives research support from the NIH. E.D.R. has received research support from the NIH, the Bluefield Project to Cure Frontotemporal Dementia, the Alzheimer’s Association, the Alzheimer’s Drug Discovery Foundation, the BrightFocus Foundation, and Alector; has served as a consultant for AGTC and on a data monitoring committee for Lilly; and owns intellectual property related to tau and progranulin. R.S. receives support from the NIA, the National Institute of Neurological Disorders and Stroke, the Parkinson’s Disease Foundation and Acadia Pharmaceuticals. M.C.T. has served as an investigator for clinical trials sponsored by Biogen, Avanex, Green Valley, Roche/Genentech, Bristol Myers Squibb, Eli Lilly/Avid Radiopharmaceuticals and Janssen. She receives research support from the Canadian Institutes of Health Research. B.F.B. has served as an investigator for clinical trials sponsored by Alector, Biogen, Transposon and Cognition Therapeutics. He serves on the Scientific Advisory Board of the Tau Consortium which is funded by the Rainwater Charitable Foundation. He receives research support from NIH. H.J.R. has received research support from Biogen Pharmaceuticals, has consulting agreements with Wave Neuroscience, Ionis Pharmaceuticals, Eisai Pharmaceuticals, and Genentech, and receives research support from the NIH and the state of California. J.C.R. receives research support from the NIH and is a site principal investigator for clinical trials sponsored by Eli Lilly and Eisai. A.L.B. receives research support from the NIH, the Tau Research Consortium, the Association for Frontotemporal Degeneration, Bluefield Project to Cure Frontotemporal Dementia, Corticobasal Degeneration Solutions, the Alzheimer’s Drug Discovery Foundation and the Alzheimer’s Association. He has served as a consultant for Aeovian, AGTC, Alector, Arkuda, Arvinas, Boehringer Ingelheim, Denali, GSK, Life Edit, Humana, Oligomerix, Oscotec, Roche, TrueBinding, Wave, Merck and received research support from Biogen, Eisai and Regeneron.
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- 2024
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26. Network Connectivity Alterations across the MAPT Mutation Clinical Spectrum.
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Zhang L, Flagan TM, Häkkinen S, Chu SA, Brown JA, Lee AJ, Pasquini L, Mandelli ML, Gorno-Tempini ML, Sturm VE, Yokoyama JS, Appleby BS, Cobigo Y, Dickerson BC, Domoto-Reilly K, Geschwind DH, Ghoshal N, Graff-Radford NR, Grossman M, Hsiung GR, Huey ED, Kantarci K, Lario Lago A, Litvan I, Mackenzie IR, Mendez MF, Onyike CU, Ramos EM, Roberson ED, Tartaglia MC, Toga AW, Weintraub S, Wszolek ZK, Forsberg LK, Heuer HW, Boeve BF, Boxer AL, Rosen HJ, Miller BL, Seeley WW, and Lee SE
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- Humans, Cross-Sectional Studies, Brain diagnostic imaging, Mutation genetics, Gray Matter diagnostic imaging, Magnetic Resonance Imaging, Biomarkers, tau Proteins genetics, Frontotemporal Dementia genetics
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Objective: Microtubule-associated protein tau (MAPT) mutations cause frontotemporal lobar degeneration, and novel biomarkers are urgently needed for early disease detection. We used task-free functional magnetic resonance imaging (fMRI) mapping, a promising biomarker, to analyze network connectivity in symptomatic and presymptomatic MAPT mutation carriers., Methods: We compared cross-sectional fMRI data between 17 symptomatic and 39 presymptomatic carriers and 81 controls with (1) seed-based analyses to examine connectivity within networks associated with the 4 most common MAPT-associated clinical syndromes (ie, salience, corticobasal syndrome, progressive supranuclear palsy syndrome, and default mode networks) and (2) whole-brain connectivity analyses. We applied K-means clustering to explore connectivity heterogeneity in presymptomatic carriers at baseline. Neuropsychological measures, plasma neurofilament light chain, and gray matter volume were compared at baseline and longitudinally between the presymptomatic subgroups defined by their baseline whole-brain connectivity profiles., Results: Symptomatic and presymptomatic carriers had connectivity disruptions within MAPT-syndromic networks. Compared to controls, presymptomatic carriers showed regions of connectivity alterations with age. Two presymptomatic subgroups were identified by clustering analysis, exhibiting predominantly either whole-brain hypoconnectivity or hyperconnectivity at baseline. At baseline, these two presymptomatic subgroups did not differ in neuropsychological measures, although the hypoconnectivity subgroup had greater plasma neurofilament light chain levels than controls. Longitudinally, both subgroups showed visual memory decline (vs controls), yet the subgroup with baseline hypoconnectivity also had worsening verbal memory and neuropsychiatric symptoms, and extensive bilateral mesial temporal gray matter decline., Interpretation: Network connectivity alterations arise as early as the presymptomatic phase. Future studies will determine whether presymptomatic carriers' baseline connectivity profiles predict symptomatic conversion. ANN NEUROL 2023;94:632-646., (© 2023 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.)
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- 2023
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27. Adipocyte-Derived Small Extracellular Vesicles from Patients with Alzheimer Disease Carry miRNAs Predicted to Target the CREB Signaling Pathway in Neurons.
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Batabyal RA, Bansal A, Cechinel LR, Authelet K, Goldberg M, Nadler E, Keene CD, Jayadev S, Domoto-Reilly K, Li G, Peskind E, Hashimoto-Torii K, Buchwald D, and Freishtat RJ
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- Humans, Adipocytes, Neurons, Obesity, Plaque, Amyloid, Signal Transduction, Alzheimer Disease genetics, Extracellular Vesicles genetics, MicroRNAs genetics
- Abstract
Alzheimer disease (AD) is characterized by amyloid-β (Aβ) plaques, neurofibrillary tangles, synaptic dysfunction, and progressive dementia. Midlife obesity increases the risk of developing AD. Adipocyte-derived small extracellular vesicles (ad-sEVs) have been implicated as a mechanism in several obesity-related diseases. We hypothesized that ad-sEVs from patients with AD would contain miRNAs predicted to downregulate pathways involved in synaptic plasticity and memory formation. We isolated ad-sEVs from the serum and cerebrospinal fluid (CSF) of patients with AD and controls and compared miRNA expression profiles. We performed weighted gene co-expression network analysis (WGCNA) on differentially expressed miRNAs to identify highly interconnected clusters correlating with clinical traits. The WGCNA identified a module of differentially expressed miRNAs, in both the serum and CSF, that was inversely correlated with the Mini-Mental State Examination scores. Within this module, miRNAs that downregulate CREB signaling in neurons were highly represented. These results demonstrate that miRNAs carried by ad-sEVs in patients with AD may downregulate CREB signaling and provide a potential mechanistic link between midlife obesity and increased risk of AD.
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- 2023
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28. Plasma inflammation for predicting phenotypic conversion and clinical progression of autosomal dominant frontotemporal lobar degeneration.
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Asken BM, Ljubenkov PA, Staffaroni AM, Casaletto KB, Vandevrede L, Cobigo Y, Rojas-Rodriguez JC, Rankin KP, Kornak J, Heuer H, Shigenaga J, Appleby BS, Bozoki AC, Domoto-Reilly K, Ghoshal N, Huey E, Litvan I, Masdeu JC, Mendez MF, Pascual B, Pressman P, Tartaglia MC, Kremers W, Forsberg LK, Boeve BF, Boxer AL, Rosen HJ, and Kramer JH
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- Humans, C9orf72 Protein genetics, Disease Progression, Inflammation, Interleukin-6, Mutation, tau Proteins genetics, Tumor Necrosis Factor-alpha, Frontotemporal Dementia diagnosis, Frontotemporal Lobar Degeneration diagnosis, Frontotemporal Lobar Degeneration genetics, Frontotemporal Lobar Degeneration pathology
- Abstract
Background: Measuring systemic inflammatory markers may improve clinical prognosis and help identify targetable pathways for treatment in patients with autosomal dominant forms of frontotemporal lobar degeneration (FTLD)., Methods: We measured plasma concentrations of IL-6, TNFα and YKL-40 in pathogenic variant carriers ( MAPT, C9orf72, GRN ) and non-carrier family members enrolled in the ARTFL-LEFFTDS Longitudinal Frontotemporal Lobar Degeneration consortium. We evaluated associations between baseline plasma inflammation and rate of clinical and neuroimaging changes (linear mixed effects models with standardised (z) outcomes). We compared inflammation between asymptomatic carriers who remained clinically normal ('asymptomatic non-converters') and those who became symptomatic ('asymptomatic converters') using area under the curve analyses. Discrimination accuracy was compared with that of plasma neurofilament light chain (NfL)., Results: We studied 394 participants (non-carriers=143, C9orf72 =117, GRN =62, MAPT =72). In MAPT , higher TNFα was associated with faster functional decline (B=0.12 (0.02, 0.22), p=0.02) and temporal lobe atrophy. In C9orf72, higher TNFα was associated with faster functional decline (B=0.09 (0.03, 0.16), p=0.006) and cognitive decline (B=-0.16 (-0.22, -0.10), p<0.001), while higher IL-6 was associated with faster functional decline (B=0.12 (0.03, 0.21), p=0.01). TNFα was higher in asymptomatic converters than non-converters (β=0.29 (0.09, 0.48), p=0.004) and improved discriminability compared with plasma NfL alone (ΔR
2 =0.16, p=0.007; NfL: OR=1.4 (1.03, 1.9), p=0.03; TNFα: OR=7.7 (1.7, 31.7), p=0.007)., Conclusions: Systemic proinflammatory protein measurement, particularly TNFα, may improve clinical prognosis in autosomal dominant FTLD pathogenic variant carriers who are not yet exhibiting severe impairment. Integrating TNFα with markers of neuronal dysfunction like NfL could optimise detection of impending symptom conversion in asymptomatic pathogenic variant carriers and may help personalise therapeutic approaches., Competing Interests: Competing interests: JCR and JCM report being site PIs for clinical trials sponsored by Eli Lilly and Eisai. BA (Appleby) receives research support from the Centers for Disease Control and Prevention, the National Institutes of Health (NIH), Ionis, Alector and the CJD Foundation; he has provided consultation to Acadia, Ionis and Sangamo. BCD is a consultant for Acadia, Alector, Arkuda, Biogen, Denali, Eisai, Genentech, Lilly, Merck, Novartis, Takeda and Wave Lifesciences; receives royalties from Cambridge University Press, Elsevier and Oxford University Press; and receives grant funding from the NIA, the National Institute of Neurological Disorders and Stroke, the National Institute of Mental Health and the Bluefield Foundation. NG has participated or is currently participating in clinical trials of anti-dementia drugs sponsored by Bristol Myers Squibb, Eli Lilly/Avid Radiopharmaceuticals, Janssen Immunotherapy, Novartis, Pfizer, Wyeth, SNIFF (The Study of Nasal Insulin to Fight Forgetfulness) and the A4 (The Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease) trial; she receives research support from Tau Consortium and the Association for Frontotemporal Dementia and is funded by the NIH. IL reports funding support from the National Institutes of Health, the Michael J Fox Foundation, Parkinson Foundation, Lewy Body Association, CurePSP, Roche, Abbvie, Biogen, Centogene. EIP-Pharma, Biohaven Pharmaceuticals, Novartis, Brain Neurotherapy Bio and United Biopharma SRL – UCB; she is a Scientific advisor for Amydis and Rossy Center for Progressive Supranuclear Palsy University of Toronto . She receives her salary from the University of California San Diego and as Chief Editor of Frontiers in Neurology. AB reports research support from the NIH, the Tau Research Consortium, the Association for Frontotemporal Degeneration, Bluefield Project to Cure Frontotemporal Dementia, Corticobasal Degeneration Solutions, the Alzheimer’s Drug Discovery Foundation and the Alzheimer’s Association; he has served as a consultant for Aeovian, AGTC, Alector, Arkuda, Arvinas, Boehringer Ingelheim, Denali, GSK, Life Edit, Humana, Oligomerix, Oscotec, Roche, TrueBinding and Wave and received research support from Biogen, Eisai and Regeneron. BFB has served as an investigator for clinical trials sponsored by EIP Pharma, Alector and Biogen; he receives royalties from the publication of a book entitled Behavioral Neurology of Dementia (Cambridge Medicine, 2009, 2017). He serves on the Scientific Advisory Board of the Tau Consortium; he receives research support from the NIH, the Mayo Clinic Dorothy and Harry T. Mangurian Jr. Lewy Body Dementia Program and the Little Family Foundation. AS reports research support from the NIA/NIH, the Bluefield Project to Cure FTD and the Larry L. Hillblom Foundation; he has provided consultation to Passage Bio and Takeda. PL is a site primary investigator for clinical trials by Alector, AbbVie and Woolsey; he serves as an advisor for Retrotrope; he receives research and salary support from the NIH-NIA and the Alzheimer’s Association-Part the Cloud partnership. KBC reports research support from NIH. LV reports research support from the Alzheimer’s Association, the American Academy of Neurology, the American Brain Foundation and the NIH and has provided consultation for Retrotope. KPR reports research support from the NIH and the National Science Foundation and serves on a medical advisory board for Eli Lilly. MCT has served as an investigator for clinical trials sponsored by Biogen, Avanex, Green Valley, Roche/Genentech, Bristol Myers Squibb, Eli Lilly/Avid Radiopharmaceuticals and Janssen; she receives research support from the Canadian Institutes of Health Research. KD-R. receives research support from the NIH and serves as an investigator for a clinical trial sponsored by Lawson Health Research Institute. J. Kornak has provided expert witness testimony for Teva Pharmaceuticals in Forest Laboratories Inc. et al. v. Teva Pharmaceuticals USA, Inc., case numbers 1:14-cv00121 and 1:14-cv-00686 (D. Del. filed 31 January 2014 and 30 May 2014 regarding the drug Memantine) and for Apotex/HEC/Ezra in Novartis AG et al. v. Apotex Inc., case number 1:15-cv-975 (D. Del. filed 26 October 2015 regarding the drug Fingolimod); he has also given testimony on behalf of Puma Biotechnology in Hsingching Hsu et al, vs. Puma Biotechnology, Inc., et al. 2018 regarding the drug Neratinib; he receives research support from the NIH. WK reports research funding from AstraZeneca, Biogen, Roche, the Department of Defense and the NIH. LF reports research funding from NIH. HJR reports research support from Biogen Pharmaceuticals, has consulting agreements with Wave Neuroscience and Ionis Pharmaceuticals and receives research support from the NIH. JHK reports research support from NIH and receives royalties from Pearson Inc., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)- Published
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29. Multisite ALLFTD study modeling progressive empathy loss from the earliest stages of behavioral variant frontotemporal dementia.
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Toller G, Cobigo Y, Callahan P, Appleby BS, Brushaber D, Domoto-Reilly K, Forsberg LK, Ghoshal N, Graff-Radford J, Graff-Radford NR, Grossman M, Heuer HW, Kornak J, Kremers W, Lapid MI, Leger G, Litvan I, Mackenzie IR, Pascual MB, Ramos EM, Rascovsky K, Rojas JC, Staffaroni AM, Tartaglia MC, Toga A, Weintraub S, Wszolek ZK, Boeve BF, Boxer AL, Rosen HJ, and Rankin KP
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- Humans, Neuropsychological Tests, Atrophy, Magnetic Resonance Imaging, Empathy, Frontotemporal Dementia diagnosis
- Abstract
Introduction: Empathy relies on fronto-cingular and temporal networks that are selectively vulnerable in behavioral variant frontotemporal dementia (bvFTD). This study modeled when in the disease process empathy changes begin, and how they progress., Methods: Four hundred thirty-one individuals with asymptomatic genetic FTD (n = 114), genetic and sporadic bvFTD (n = 317), and 163 asymptomatic non-carrier controls were enrolled. In sub-samples, we investigated empathy measured by the informant-based Interpersonal Reactivity Index (IRI) at each disease stage and over time (n = 91), and its correspondence to underlying atrophy (n = 51)., Results: Empathic concern (estimate = 4.38, 95% confidence interval [CI] = 2.79, 5.97; p < 0.001) and perspective taking (estimate = 5.64, 95% CI = 3.81, 7.48; p < 0.001) scores declined between the asymptomatic and very mild symptomatic stages regardless of pathogenic variant status. More rapid loss of empathy corresponded with subcortical atrophy., Discussion: Loss of empathy is an early and progressive symptom of bvFTD that is measurable by IRI informant ratings and can be used to monitor behavior in neuropsychiatry practice and treatment trials., (© 2022 the Alzheimer's Association.)
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30. Feasibility and acceptability of remote smartphone cognitive testing in frontotemporal dementia research.
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Taylor JC, Heuer HW, Clark AL, Wise AB, Manoochehri M, Forsberg L, Mester C, Rao M, Brushaber D, Kramer J, Welch AE, Kornak J, Kremers W, Appleby B, Dickerson BC, Domoto-Reilly K, Fields JA, Ghoshal N, Graff-Radford N, Grossman M, Hall MG, Huey ED, Irwin D, Lapid MI, Litvan I, Mackenzie IR, Masdeu JC, Mendez MF, Nevler N, Onyike CU, Pascual B, Pressman P, Rankin KP, Ratnasiri B, Rojas JC, Tartaglia MC, Wong B, Gorno-Tempini ML, Boeve BF, Rosen HJ, Boxer AL, and Staffaroni AM
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Introduction: Remote smartphone assessments of cognition, speech/language, and motor functioning in frontotemporal dementia (FTD) could enable decentralized clinical trials and improve access to research. We studied the feasibility and acceptability of remote smartphone data collection in FTD research using the ALLFTD Mobile App (ALLFTD-mApp)., Methods: A diagnostically mixed sample of 214 participants with FTD or from familial FTD kindreds (asymptomatic: CDR®+NACC-FTLD = 0 [ N = 101]; prodromal: 0.5 [ N = 49]; symptomatic ≥1 [ N = 51]; not measured [ N = 13]) were asked to complete ALLFTD-mApp tests on their smartphone three times within 12 days. They completed smartphone familiarity and participation experience surveys., Results: It was feasible for participants to complete the ALLFTD-mApp on their own smartphones. Participants reported high smartphone familiarity, completed ∼ 70% of tasks, and considered the time commitment acceptable (98% of respondents). Greater disease severity was associated with poorer performance across several tests., Discussion: These findings suggest that the ALLFTD-mApp study protocol is feasible and acceptable for remote FTD research., Highlights: The ALLFTD Mobile App is a smartphone-based platform for remote, self-administered data collection.The ALLFTD Mobile App consists of a comprehensive battery of surveys and tests of executive functioning, memory, speech and language, and motor abilities.Remote digital data collection using the ALLFTD Mobile App was feasible in a multicenter research consortium that studies FTD. Data was collected in healthy controls and participants with a range of diagnoses, particularly FTD spectrum disorders.Remote digital data collection was well accepted by participants with a variety of diagnoses., Competing Interests: Appleby, BS – receives research support from CDC, NIH, Ionis, Alector, and the CJD Foundation. He has provided consultation to Acadia, Ionis, and Sangamo.Boeve, BF – has served as an investigator for clinical trials sponsored by Alector, Biogen and Transposon. He receives royalties from the publication of a book entitled Behavioral Neurology Of Dementia (Cambridge Medicine, 2009, 2017). He serves on the Scientific Advisory Board of the Tau Consortium. He receives research support from NIH, the Mayo Clinic Dorothy and Harry T. Mangurian Jr. Lewy Body Dementia Program, and the Little Family Foundation.Boxer, AL – receives research support from NIH (U19AG063911, R01AG038791, R01AG073482), the Tau Research Consortium, the Association for Frontotemporal Degeneration, Bluefield Project to Cure Frontotemporal Dementia, Corticobasal Degeneration Solutions, the Alzheimer's Drug Discovery Foundation, and the Alzheimer's Association. He has served as a consultant for Aeovian, AGTC, Alector, Arkuda, Arvinas, AviadoBio, Boehringer Ingelheim, Denali, GSK, Life Edit, Humana, Oligomerix, Oscotec, Roche, Transposon, TrueBinding and Wave, and received research support from Biogen, Eisai, and Regeneron. As a co‐inventor of ALLFTD‐mApp tasks, Dr. Boxer has received licensing fees.Brushaber, D – nothing to disclose.Clark, AL – nothing to disclose.Dickerson, BC – Dr Dickerson is a consultant for Acadia, Alector, Arkuda, Biogen, Denali, Eisai, Genentech, Lilly, Merck, Novartis, Takeda, Wave Lifesciences. Dr Dickerson receives royalties from Cambridge University Press, Elsevier, Oxford University Press. Dr Dickerson receives grant funding from the NIA, NINDS, NIMH, and the Bluefield Foundation.Domoto‐Reilly, K – receives research support from NIH, and serves as an investigator for a clinical trial sponsored by Lawson Health Research Institute.Fields, JA – receives research support from NIH.Forsberg, L – receives research support from NIH.Ghoshal, N – has participated or is currently participating in clinical trials of anti‐dementia drugs sponsored by the following companies: Bristol Myers Squibb, Eli Lilly/Avid Radiopharmaceuticals, Janssen Immunotherapy, Novartis, Pfizer, Wyeth, SNIFF (The Study of Nasal Insulin to Fight Forgetfulness) study, and A4 (The Anti‐Amyloid Treatment in Asymptomatic Alzheimer's Disease) trial. She receives research support from Tau Consortium and Association for Frontotemporal Dementia and is funded by the NIH.Gorno‐Tempini, ML – receives research support from NIH. As a co‐inventor of one of the ALLFTD mApp tasks, Dr Gorno‐Tempini's lab receives licensing fees , consistent with UCSF institutional policy.Graff‐Radford, N – receives royalties from UpToDate, has participated in multicenter therapy studies by sponsored by Biogen, TauRx, AbbVie, Novartis, and Lilly. He receives research support from NIH.Grossman, M – receives grant support from NIH, Avid, and Piramal; participates in clinical trials sponsored by Biogen, TauRx, and Alector; serves as a consultant to Bracco and UCB; and serves on the Editorial Board of Neurology.Hall, MGH – nothing to disclose.Heuer, HW – nothing to disclose.Huey, ED – receives research support from NIH.Irwin, D – receives support from NIH, Brightfocus Foundation, and Penn Institute on Aging.Kornak, J – has provided expert witness testimony for Teva Pharmaceuticals in Forest Laboratories Inc. et al. v. Teva Pharmaceuticals USA, Inc., Case Nos. 1:14‐cv‐00121 and 1:14‐cv‐00686 (D. Del. filed Jan. 31, 2014, and May 30, 2014) regarding the drug Memantine; for Apotex/HEC/Ezra in Novartis AG et al. v. Apotex Inc., No. 1:15‐cv‐975 (D. Del. filed Oct. 26, 2015, regarding the drug Fingolimod. He has also given testimony on behalf of Puma Biotechnology in Hsingching Hsu et al, vs. Puma Biotechnology, INC., et al. 2018 regarding the drug Neratinib. He receives research support from the NIH.Kramer, J – receives research support from NIH and royalties from Pearson Inc.Kremers, W—receives research funding from AstraZeneca, Biogen, Roche, DOD, and NIH.Lapid, MI – receives research support from the NIH.Litvan, I – receives research support from the National Institutes of Health grants: 2R01AG038791‐06A, U01NS100610, U01NS80818, R25NS098999; U19 AG063911‐1 and 1R21NS114764‐01A1; the Michael J Fox Foundation, Parkinson Foundation, Lewy Body Association, CurePSP, Roche, Abbvie, Biogen, Centogene. EIP‐Pharma, Biohaven Pharmaceuticals, Novartis, and United Biopharma SRL‐UCB. She is a Scientific advisor for Amydis (Gratis) and Rossy Center for Progressive Supranuclear Palsy University of Toronto. She receives her salary from the University of California San Diego and as Chief Editor of Frontiers in Neurology.Mackenzie, IR – receives research funding from Canadian Institutes of Health Research, Alzheimer's Association US, NIH, Weston Brain Institute.Manoochehri, M – nothing to disclose.Masdeu, JC – is a consultant and received research funding from Eli Lilly, parent co. of Avid Radiopharmaceuticals, manufacturer of 18F‐flortaucipir, receives personal fees from GE Healthcare, grants and personal fees from Eli Lilly, grants from Acadia, Avanir, Biogen, Eisai, Janssen, NIH, Novartis, with no relation to the submitted work.Mendez, MF – receives research support from NIH.Mester, C – nothing to disclose.Nevler, N – receives research funding from the NIH and Department of Defense.Onyike, C – receives research funding from the NIH, Lawton Health Research Institute, National Ataxia Foundation, Alector Inc., and Transposon, Inc. He is also supported by the Robert and Nancy Hall Brain Research Fund, the Jane Tanger Black Fund for Young‐Onset Dementias, and the gift from Joseph Trovato. He is a consultant with Alector, Inc. and Acadia Pharmaceuticals.Pascual, B – receives research support from NIH.Pressman, PS – receives research support from NIH.Rankin, KP – receives research support from NIH and NSF, and serves on a Medical Advisory Board for Eli Lilly.Rao, M – nothing to disclose.Rojas, JC – receives research support from NIH and is a site PI for clinical trials sponsored by Eli‐Lilly and Eisai.Rosen, HJ – has received research support from Biogen Pharmaceuticals, has consulting agreements with Wave Neuroscience and Ionis Pharmaceuticals, and receives research support from NIH.Ratnasiri, B – nothing to disclose.Staffaroni, AM – received research support from the NIA/NIH, Bluefield Project to Cure FTD, and the Larry L. Hillblom Foundation, and has provided consultation to Alector, Lilly/Prevail, Passage Bio, and Takeda. Dr Staffaroni is a co‐inventor of four ALLFTD mApp tasks and receives licensing fees, consistent with UCSF institutional policy.Tartaglia, M – has served as an investigator for clinical trials sponsored by Biogen, Avanex, Green Valley, and Roche / Genentech, Bristol Myers Squibb, Eli Lilly/Avid Radiopharmaceuticals, Janssen. She receives research support from Canadian Institutes of Health Research. Author disclosures are available in the supporting information.Taylor, JC – nothing to disclose.Wise, AB – nothing to disclose.Welch, AE – nothing to disclose.Wong, B – receives research support from the NIH., (© 2023 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.)
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31. Temporal order of clinical and biomarker changes in familial frontotemporal dementia.
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Staffaroni AM, Quintana M, Wendelberger B, Heuer HW, Russell LL, Cobigo Y, Wolf A, Goh SM, Petrucelli L, Gendron TF, Heller C, Clark AL, Taylor JC, Wise A, Ong E, Forsberg L, Brushaber D, Rojas JC, VandeVrede L, Ljubenkov P, Kramer J, Casaletto KB, Appleby B, Bordelon Y, Botha H, Dickerson BC, Domoto-Reilly K, Fields JA, Foroud T, Gavrilova R, Geschwind D, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grossman M, Hall MGH, Hsiung GY, Huey ED, Irwin D, Jones DT, Kantarci K, Kaufer D, Knopman D, Kremers W, Lago AL, Lapid MI, Litvan I, Lucente D, Mackenzie IR, Mendez MF, Mester C, Miller BL, Onyike CU, Rademakers R, Ramanan VK, Ramos EM, Rao M, Rascovsky K, Rankin KP, Roberson ED, Savica R, Tartaglia MC, Weintraub S, Wong B, Cash DM, Bouzigues A, Swift IJ, Peakman G, Bocchetta M, Todd EG, Convery RS, Rowe JB, Borroni B, Galimberti D, Tiraboschi P, Masellis M, Finger E, van Swieten JC, Seelaar H, Jiskoot LC, Sorbi S, Butler CR, Graff C, Gerhard A, Langheinrich T, Laforce R, Sanchez-Valle R, de Mendonça A, Moreno F, Synofzik M, Vandenberghe R, Ducharme S, Le Ber I, Levin J, Danek A, Otto M, Pasquier F, Santana I, Kornak J, Boeve BF, Rosen HJ, Rohrer JD, and Boxer AL
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- Biomarkers, C9orf72 Protein genetics, Clinical Trials as Topic, Disease Progression, Humans, Mutation genetics, tau Proteins genetics, Frontotemporal Dementia genetics
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Unlike familial Alzheimer's disease, we have been unable to accurately predict symptom onset in presymptomatic familial frontotemporal dementia (f-FTD) mutation carriers, which is a major hurdle to designing disease prevention trials. We developed multimodal models for f-FTD disease progression and estimated clinical trial sample sizes in C9orf72, GRN and MAPT mutation carriers. Models included longitudinal clinical and neuropsychological scores, regional brain volumes and plasma neurofilament light chain (NfL) in 796 carriers and 412 noncarrier controls. We found that the temporal ordering of clinical and biomarker progression differed by genotype. In prevention-trial simulations using model-based patient selection, atrophy and NfL were the best endpoints, whereas clinical measures were potential endpoints in early symptomatic trials. f-FTD prevention trials are feasible but will likely require global recruitment efforts. These disease progression models will facilitate the planning of f-FTD clinical trials, including the selection of optimal endpoints and enrollment criteria to maximize power to detect treatment effects., (© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.)
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32. Differences in Motor Features of C9orf72 , MAPT , or GRN Variant Carriers With Familial Frontotemporal Lobar Degeneration.
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Tipton PW, Deutschlaender AB, Savica R, Heckman MG, Brushaber DE, Dickerson BC, Gavrilova RH, Geschwind DH, Ghoshal N, Graff-Radford J, Graff-Radford NR, Grossman M, Hsiung GR, Huey ED, Irwin DJ, Jones DT, Knopman DS, McGinnis SM, Rademakers R, Ramos EM, Forsberg LK, Heuer HW, Onyike C, Tartaglia C, Domoto-Reilly K, Roberson ED, Mendez MF, Litvan I, Appleby BS, Grant I, Kaufer D, Boxer AL, Rosen HJ, Boeve BF, and Wszolek ZK
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- C9orf72 Protein genetics, Granulins genetics, Humans, Mutation genetics, Progranulins genetics, Quality of Life, tau Proteins genetics, Frontotemporal Dementia diagnosis, Frontotemporal Dementia genetics, Frontotemporal Lobar Degeneration genetics, Supranuclear Palsy, Progressive
- Abstract
Background and Objectives: Familial frontotemporal lobar degeneration (f-FTLD) is a phenotypically heterogeneous spectrum of neurodegenerative disorders most often caused by variants within chromosome 9 open reading frame 72 ( C9orf72 ), microtubule-associated protein tau ( MAPT ), or granulin ( GRN ). The phenotypic association with each of these genes is incompletely understood. We hypothesized that the frequency of specific clinical features would correspond with different genes., Methods: We screened the Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL)/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS)/ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration Consortium for symptomatic carriers of pathogenic variants in C9orf72 , MAPT , or GRN . We assessed for clinical differences among these 3 groups based on data recorded as part of a detailed neurologic examination, the Progressive Supranuclear Palsy Rating Scale, Progressive Supranuclear Palsy-Quality of Life Rating Scale, Unified Parkinson's Disease Rating Scale Part III (motor items), and the Amyotrophic Lateral Sclerosis Functional Rating Scale, revised version. Data were analyzed using Kruskal-Wallis and Wilcoxon rank-sum tests and Fisher exact test., Results: We identified 184 symptomatic participants who had a single pathogenic variant in C9orf72 (n = 88), MAPT (n = 53), or GRN (n = 43). Motor symptom age at onset was earliest in the MAPT participants followed by C9orf72 , whereas the GRN pathogenic variant carriers developed symptoms later. C9orf72 participants more often had fasciculations, muscle atrophy, and weakness, whereas parkinsonism was less frequent. Vertical oculomotor abnormalities were more common in the MAPT cohort, whereas apraxia and focal limb dystonia occurred more often in participants with GRN variants., Discussion: We present a large comparative study of motor features in C9orf72 , MAPT , and GRN pathogenic variant carriers with symptomatic f-FTLD. Our findings demonstrate characteristic phenotypic differences corresponding with specific gene variants that increase our understanding of the genotype-phenotype relationship in this complex spectrum of neurodegenerative disorders., Trial Registration Information: NCT02365922, NCT02372773, and NCT04363684., (© 2022 American Academy of Neurology.)
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33. Sensitivity of the Social Behavior Observer Checklist to Early Symptoms of Patients With Frontotemporal Dementia.
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Toller G, Cobigo Y, Ljubenkov PA, Appleby BS, Dickerson BC, Domoto-Reilly K, Fong JC, Forsberg LK, Gavrilova RH, Ghoshal N, Heuer HW, Knopman DS, Kornak J, Lapid MI, Litvan I, Lucente DE, Mackenzie IR, McGinnis SM, Miller BL, Pedraza O, Rojas JC, Staffaroni AM, Wong B, Wszolek ZK, Boeve BF, Boxer AL, Rosen HJ, and Rankin KP
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- Humans, Cohort Studies, Checklist, Magnetic Resonance Imaging, Social Behavior, Atrophy, Syndrome, Frontotemporal Dementia genetics, Alzheimer Disease diagnostic imaging, Alzheimer Disease pathology, Neurodegenerative Diseases, Pick Disease of the Brain pathology, Frontotemporal Lobar Degeneration diagnosis, Frontotemporal Lobar Degeneration pathology
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Background and Objectives: Changes in social behavior are common symptoms of frontotemporal lobar degeneration (FTLD) and Alzheimer disease syndromes. For early identification of individual patients and differential diagnosis, sensitive clinical measures are required that are able to assess patterns of behaviors and detect syndromic differences in both asymptomatic and symptomatic stages. We investigated whether the examiner-based Social Behavior Observer Checklist (SBOCL) is sensitive to early behavior changes and reflects disease severity within and between neurodegenerative syndromes., Methods: Asymptomatic individuals and patients with neurodegenerative disease were selected from the multisite ALLFTD cohort study. In a sample of participants with at least 1 time point of SBOCL data, we investigated whether the Disorganized, Reactive, and Insensitive subscales of the SBOCL change as a function of disease stage within and between these syndromes. In a longitudinal subsample with both SBOCL and neuroimaging data, we examined whether change over time on each subscale corresponds to progressive gray matter atrophy., Results: A total of 1,082 FTLD pathogenic variant carriers and noncarriers were enrolled (282 asymptomatic, 341 behavioral variant frontotemporal dementia, 114 semantic and 95 nonfluent variant primary progressive aphasia, 137 progressive supranuclear palsy, and 113 Alzheimer disease syndrome). The Disorganized score increased between asymptomatic to very mild ( p = 0.016, estimate = -1.10, 95% CI = -1.99 to -0.22), very mild to mild ( p = 0.013, estimate = -1.17, 95% CI = -2.08 to -0.26), and mild to moderate/severe ( p < 0.001, estimate = -2.00, 95% CI = -2.55 to -1.45) disease stages in behavioral variant frontotemporal dementia regardless of pathogenic variant status. Asymptomatic GRN pathogenic gene variant carriers showed more reactive behaviors (preoccupation with time: p = 0.001, estimate = 1.11, 95% CI = 1.06 to 1.16; self-consciousness: p = 0.003, estimate = 1.77, 95% CI = 1.52 to 2.01) than asymptomatic noncarriers (estimate = 1.01, 95% CI = 0.98 to 1.03; estimate = 1.31, 95% CI = 1.20 to 1.41). The Insensitive score increased to a clinically abnormal level in advanced stages of behavioral variant frontotemporal dementia ( p = 0.003, estimate = -0.73, 95% CI = -1.18 to -0.29). Higher scores on each subscale corresponded with higher caregiver burden ( p < 0.001). Greater change over time corresponded to greater fronto-subcortical atrophy in the semantic-appraisal and fronto-parietal intrinsically connected networks., Discussion: The SBOCL is sensitive to early symptoms and reflects disease severity, with some evidence for progression across asymptomatic and symptomatic stages of FTLD syndromes; thus, it may hold promise for early measurement and monitoring of behavioral symptoms in clinical practice and treatment trials., Classification of Evidence: This study provides Class II evidence that the SBOCL is sensitive to early behavioral changes in FTLD pathogenic variants and early symptomatic individuals in a highly educated patient cohort., (© 2022 American Academy of Neurology.)
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34. Virtual Intervention for Caregivers of Persons With Lewy Body Dementia: Pilot Quasi-Experimental Single-Arm Study.
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Zaslavsky O, Kaneshiro J, Chu F, Teng A, Domoto-Reilly K, and Chen AT
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Background: Compared to other types of dementia, family caregivers of people with Lewy body dementia (LBD) report higher stress levels and more severe depressive symptoms. Although several digital support interventions for caregivers of persons with dementia exist, few target LBD specifically or leverage a fully remote and asynchronous approach suitable for pandemic circumstances., Objective: We performed a pilot evaluation of a digital intervention designed to help caregivers of people with LBD address challenges they have experienced, with the end goal of reducing psychological distress in this population., Methods: We recruited 15 family caregivers of people with LBD to participate in the quasi-experimental, single-arm, mixed methods study titled Virtual Online Communities for Aging Life Experience-Lewy Body Dementia (VOCALE-LBD). The study offers an 8-week web-based intervention that uses a digital discussion platform and involves moderation, peer-to-peer support, didactic training, and problem-solving skill enactment., Results: Participants' baseline characteristics were the following: mean age 66 (SD 8) years; 14 of 15 (93%) of them were female; all (15/15, 100%) were White; and 8 (53%) of them had at least a postgraduate degree. Throughout the intervention, participants engaged in weekly web-based discussions, generating a total of 434 posts (average 4 posts per week). Attrition was 20% (3/15). Upon study exit, participants showed the following average improvements: 3.0 (SD 6.0) in depression, 8.3 (SD 16.7) in burden, 2.9 (SD 6.8) in stress, and 0.3 (SD 0.8) in loneliness. When looking at the proportion of participants with clinically significant improvement versus those with a worsening of ≥0.5 SD for each outcome, we observed net improvements of 50% (6/12), 33% (4/12), 25% (3/12), and 25% (3/12) in depression, loneliness, burden, and stress, respectively. In terms of the benefits of participation, participants reported that participation helped them "a great deal" to (1) improve their understanding of LBD (9/12, 75%), (2) gain confidence in dealing with difficult behaviors of the care recipient (6/12, 50%), and (3) improve in one's abilities to provide care to the care recipient (4/12, 33%)., Conclusions: The study generated promising feasibility and preliminary efficacy data for a low-cost, web-based intervention designed for caregivers of persons with LBD. Though the study was not powered for significance, we observed nominal average and net improvements in important psychological outcomes. Moreover, many caregivers reported that study participation helped them better understand the disease, feel more confident in dealing with difficult behaviors of the care recipient, and improve their ability to care for the care recipient. If validated in future studies, the intervention could be an accessible, on-demand resource for caregivers, enabling them to engage in moderated remote discussions with peers at their own convenience in terms of location, time of the day, and frequency., (©Oleg Zaslavsky, Jasmine Kaneshiro, Frances Chu, Andrew Teng, Kimiko Domoto-Reilly, Annie T Chen. Originally published in JMIR Formative Research (https://formative.jmir.org), 29.07.2022.)
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35. Proposed research criteria for prodromal behavioural variant frontotemporal dementia.
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Barker MS, Gottesman RT, Manoochehri M, Chapman S, Appleby BS, Brushaber D, Devick KL, Dickerson BC, Domoto-Reilly K, Fields JA, Forsberg LK, Galasko DR, Ghoshal N, Goldman J, Graff-Radford NR, Grossman M, Heuer HW, Hsiung GY, Knopman DS, Kornak J, Litvan I, Mackenzie IR, Masdeu JC, Mendez MF, Pascual B, Staffaroni AM, Tartaglia MC, Boeve BF, Boxer AL, Rosen HJ, Rankin KP, Cosentino S, Rascovsky K, and Huey ED
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- Biomarkers, Humans, Neuropsychological Tests, Alzheimer Disease psychology, Frontotemporal Dementia diagnosis, Frontotemporal Dementia genetics, Frontotemporal Dementia pathology, Frontotemporal Lobar Degeneration pathology
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At present, no research criteria exist for the diagnosis of prodromal behavioural variant frontotemporal dementia (bvFTD), though early detection is of high research importance. Thus, we sought to develop and validate a proposed set of research criteria for prodromal bvFTD, termed 'mild behavioural and/or cognitive impairment in bvFTD' (MBCI-FTD). Participants included 72 participants deemed to have prodromal bvFTD; this comprised 55 carriers of a pathogenic mutation known to cause frontotemporal lobar degeneration, and 17 individuals with autopsy-confirmed frontotemporal lobar degeneration. All had mild behavioural and/or cognitive changes, as judged by an evaluating clinician. Based on extensive clinical workup, the prodromal bvFTD group was divided into a Development Group (n = 22) and a Validation Group (n = 50). The Development Group was selected to be the subset of the prodromal bvFTD group for whom we had the strongest longitudinal evidence of conversion to bvFTD, and was used to develop the MBCI-FTD criteria. The Validation Group was the remainder of the prodromal bvFTD group and was used as a separate sample on which to validate the criteria. Familial non-carriers were included as healthy controls (n = 165). The frequencies of behavioural and neuropsychiatric features, neuropsychological deficits, and social cognitive dysfunction in the prodromal bvFTD Development Group and healthy controls were assessed. Based on sensitivity and specificity analyses, seven core features were identified: apathy without moderate-severe dysphoria, behavioural disinhibition, irritability/agitation, reduced empathy/sympathy, repetitive behaviours (simple and/or complex), joviality/gregariousness, and appetite changes/hyperorality. Supportive features include a neuropsychological profile of impaired executive function or naming with intact orientation and visuospatial skills, reduced insight for cognitive or behavioural changes, and poor social cognition. Three core features or two core features plus one supportive feature are required for the diagnosis of possible MBCI-FTD; probable MBCI-FTD requires imaging or biomarker evidence, or a pathogenic genetic mutation. The proposed MBCI-FTD criteria correctly classified 95% of the prodromal bvFTD Development Group, and 74% of the prodromal bvFTD Validation Group, with a false positive rate of <10% in healthy controls. Finally, the MBCI-FTD criteria were tested on a cohort of individuals with prodromal Alzheimer's disease, and the false positive rate of diagnosis was 11-16%. Future research will need to refine the sensitivity and specificity of these criteria, and incorporate emerging biomarker evidence., (© The Author(s) (2022). Published by Oxford University Press on behalf of the Guarantors of Brain.)
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36. Comprehensive cross-sectional and longitudinal analyses of plasma neurofilament light across FTD spectrum disorders.
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Gendron TF, Heckman MG, White LJ, Veire AM, Pedraza O, Burch AR, Bozoki AC, Dickerson BC, Domoto-Reilly K, Foroud T, Forsberg LK, Galasko DR, Ghoshal N, Graff-Radford NR, Grossman M, Heuer HW, Huey ED, Hsiung GR, Irwin DJ, Kaufer DI, Leger GC, Litvan I, Masdeu JC, Mendez MF, Onyike CU, Pascual B, Ritter A, Roberson ED, Rojas JC, Tartaglia MC, Wszolek ZK, Rosen H, Boeve BF, Boxer AL, and Petrucelli L
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- Cross-Sectional Studies, Humans, Intermediate Filaments, Neurofilament Proteins genetics, Syndrome, Frontotemporal Dementia diagnosis, Pick Disease of the Brain
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Frontotemporal dementia (FTD) therapy development is hamstrung by a lack of susceptibility, diagnostic, and prognostic biomarkers. Blood neurofilament light (NfL) shows promise as a biomarker, but studies have largely focused only on core FTD syndromes, often grouping patients with different diagnoses. To expedite the clinical translation of NfL, we avail ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) study resources and conduct a comprehensive investigation of plasma NfL across FTD syndromes and in presymptomatic FTD mutation carriers. We find plasma NfL is elevated in all studied syndromes, including mild cases; increases in presymptomatic mutation carriers prior to phenoconversion; and associates with indicators of disease severity. By facilitating the identification of individuals at risk of phenoconversion, and the early diagnosis of FTD, plasma NfL can aid in participant selection for prevention or early treatment trials. Moreover, its prognostic utility would improve patient care, clinical trial efficiency, and treatment outcome estimations., Competing Interests: A.C.B. is site PI for the Alector INFRONT-3 trial. A.L.B. receives research support from NIH (R01AG038791, R01AG073482, and U24AG057437), Rainwater Charitable Foundation, Association for Frontotemporal Degeneration, Bluefield Project to Cure Frontotemporal Dementia, Alzheimer’s Drug Discovery Foundation, and the Alzheimer’s Association. He has served as a consultant for Alector, AGTC, Arkuda, Arvinas, AZTherapies, GSK, Oligomerix, Ono, Roche, Samumed, Stealth, Third Rock, Transposon, TrueBinding, and Wave and received research support from Biogen, Eisai, and Regeneron. B.F.B. has served as an investigator for clinical trials sponsored by Biogen, Alector, and EIP Pharma. He receives royalties from a published book entitled Behavioral Neurology of Dementia (Cambridge Medicine, 2009, 2017), serves on the Tau Consortium Scientific Advisory Board, and receives research support from the NIH. B.C.D. consults for Acadia, Arkuda, Axovant, Lilly, Biogen, Merck, Novartis, and Wave LifeSciences; has Elsevier editorial duties with payment (Neuroimage: Clinical and Cortex); and receives royalties from Oxford University Press and Cambridge University Press. K.D.-R. has research funding from Biogen and Lawson Health Research Institute and receives consultant fees from Biogen and educational fees from MedBridge. D.R.G. consults for Biogen, Fujirebio, and Amprion and is on the DSMB for Cognition Therapeutics. M.G. is participating in treatment trials sponsored by Alector, Prevail, and Passage Bio and is a consultant to Takeda, Passage Bio, and Biogen. N.G. has or is participating in clinical trials of anti-dementia drugs sponsored by Bristol Myers Squibb, Lilly/Avid Radiopharmaceuticals, Janssen, Novartis, Pfizer, and Wyeth. N.R.G.-R. has taken part in multicenter studies funded by Biogen, AbbVie, and Lilly. G.-Y.R.H. has received research support from Anavax, Biogen, and Roche. I.L. received support from Roche, Abbvie, Biogen, EIP-Pharma, and Biohaven Pharmaceuticals; was member of a Lundbeck Advisory Board; and receives salary from the University of California, San Diego and as Chief Editor of Frontiers in Neurology. J.C.M. participates on a speaker forum for Biogen and receives research support from Biogen, Eisai, Eli Lilly, Green Valley, and Novartis. C.U.O. is a consultant with Alector and Acadia and receives research funding from Alector. L.P. is a consultant for Expansion Therapeutics. E.D.R. receives funding from NIH, Alzheimer’s Drug Discovery Foundation, Bluefield Project, and Alector; consults for Biogen, AVROBIO, and AGTC; and owns intellectual property related to tau. J.C.R. is a site PI for Eli Lilly and Eisai clinical trials and receives research support from NIH K23AG059888. M.C.T. participates in clinical trials with Biogen, Avanex, UCB, and Janssen. Z.K.W. is supported by the NIH/NIA and NIH/NINDS (1U19AG063911, FAIN: U19AG063911), Mayo Clinic Center for Regenerative Medicine, Mayo Clinic in Florida Focused Research Team Program, the gifts from The Sol Goldman Charitable Trust, the Donald G. and Jodi P. Heeringa Family, the Haworth Family Professorship in Neurodegenerative Diseases fund, and The Albertson Parkinson’s Research Foundation. He serves as PI or co-PI on Biohaven Pharmaceuticals, Inc. (BHV4157-206 and BHV3241-301); Neuraly, Inc. (NLY01-PD-1); and Vigil Neuroscience, Inc. (VGL101–01.001) grants. He serves as co-PI of the Mayo Clinic APDA Center for Advanced Research and as an external advisory board member for Vigil Neuroscience, Inc. All other authors report no competing interests., (© 2022 The Author(s).)
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37. Fluid and Tissue Biomarkers of Lewy Body Dementia: Report of an LBDA Symposium.
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Scott GD, Arnold MR, Beach TG, Gibbons CH, Kanthasamy AG, Lebovitz RM, Lemstra AW, Shaw LM, Teunissen CE, Zetterberg H, Taylor AS, Graham TC, Boeve BF, Gomperts SN, Graff-Radford NR, Moussa C, Poston KL, Rosenthal LS, Sabbagh MN, Walsh RR, Weber MT, Armstrong MJ, Bang JA, Bozoki AC, Domoto-Reilly K, Duda JE, Fleisher JE, Galasko DR, Galvin JE, Goldman JG, Holden SK, Honig LS, Huddleston DE, Leverenz JB, Litvan I, Manning CA, Marder KS, Pantelyat AY, Pelak VS, Scharre DW, Sha SJ, Shill HA, Mari Z, Quinn JF, and Irwin DJ
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The Lewy Body Dementia Association (LBDA) held a virtual event, the LBDA Biofluid/Tissue Biomarker Symposium, on January 25, 2021, to present advances in biomarkers for Lewy body dementia (LBD), which includes dementia with Lewy bodies (DLBs) and Parkinson's disease dementia (PDD). The meeting featured eight internationally known scientists from Europe and the United States and attracted over 200 scientists and physicians from academic centers, the National Institutes of Health, and the pharmaceutical industry. Methods for confirming and quantifying the presence of Lewy body and Alzheimer's pathology and novel biomarkers were discussed., Competing Interests: TB has conducted consultation for a peripheral synuclein assay and speakers honorarium from Roche Diagnostics. RL is employed full time by Amprion, serves on Amprion's Board, and is a shareholder. CT research is supported by the European Commission (Marie Curie International Training Network, grant agreement No 860197 (MIRIADE), and JPND), Health Holland, the Dutch Research Council (ZonMW), Alzheimer Drug Discovery Foundation, the Selfridges Group Foundation, Alzheimer Netherlands, Alzheimer Association. CT is the recipient of ABOARD, which is a public-private partnership receiving funding from ZonMW (#73305095007) and Health Holland, Topsector Life Sciences & Health (PPP allowance; #LSHM20106). More than 30 partners participate in ABOARD. ABOARD also receives funding from Edwin Bouw Fonds and Gieskes Strijbisfonds. IV is appointed on a research grant by Alzheimer Nederland (NL 17004). CT has a collaboration contract with ADx Neurosciences, Quanterix, and Eli Lilly, who performed contract research or received grants from AC Immune, Axon Neurosciences, Biogen, Brainstorm Therapeutics, Celgene, EIP Pharma, Eisai, PeopleBio, Roche, Toyama, Vivoryon. CT serves on editorial boards of Medidact Neurologie/Springer, Alzheimer Research and Therapy, Neurology: Neuroimmunology and Neuroinflammation, and is editor of a Neuromethods book by Springer. HZ has served at scientific advisory boards and/or as a consultant for Abbvie, Alector, Eisai, Denali, Roche Diagnostics, Wave, Samumed, Siemens Healthineers, Pinteon Therapeutics, Nervgen, AZTherapies, CogRx, and Red Abbey Labs has given lectures in symposia sponsored by Cellectricon, Fujirebio, Alzecure and Biogen, and is a co-founder of Brain Biomarker Solutions in Gothenburg AB (BBS), which is a part of the GU Ventures Incubator Program (all outside submitted work). CMo is an inventor of several US and International Georgetown University patents to use tyrosine kinase inhibitors (TKis) for the treatment of neurodegenerative diseases. CMo is a co-founder and shareholder and receives consulting fees from KeifeRx LLC. CMo receives consulting fees from Neumentum LLC, SUn Pharmaceuticals Research Industry, and SkyBIo. CMo received NIH NIA funding, Alzheimer's Association, and Sun Pharmaceuticals Research Industry Funding to study TKis in neurodegeneration, including LBD. KP has received consulting fees from Curasen and is funded by grants from the NIH, Michael J Fox Foundation for Parkinson's Research, LBDA, and Alzheimer's Drug Discovery Foundation, and has received funding from Sanofi US Services, Inc. to perform clinical trials. MS declares ownership interest (Stock or stock options): Brain Health Inc, NeuroTau, Optimal Cognitive Health Company, uMethod Health, Versanum, Athira, Cognoptix and consulting work for Alzheon, Biogen, Cortexyme, Roche Genentech, Stage 2 Innovations/Renew Research, Acadia, T3D, Eisai, KeifeRx. MS also declares royalties: HarperCollins, Humanix and speakers bureau: Health and Wellness Partners. LR receives grant funding from the NINDS, Michael J. Fox Foundation, Parkinson's Foundation, and National Ataxia Foundation. She has also served on advisory boards for Uniqure and other pharmaceutical companies through the Parkinson's Study Group. MJA receives research support from the NIA (R01AG068128, P30AG047266), the Florida Department of Health (Grant 20A08), and as the local PI of a Lewy Body Dementia Association Research Center of Excellence. MJA serves on the data safety monitoring boards (DSMBs) for ACTC/ATRI and ADCS. MJA receives royalties from the publication of the book Parkinson's Disease: Improving Patient Care. MJA serves on the level of evidence editorial board for Neurology and related publications (uncompensated). JGG declares grants/research—Acadia, Michael J. Fox Foundation, Parkinson's Foundation, Consultant—Worldwide Med, Honoraria—American Academy of Neurology, Davis Phinney Foundation, International Parkinson and Movement Disorders Society, Medscape, Parkinson's Foundation, Other: Lewy Body Dementia Association Research Center of Excellence. ZM received institutional grant support from NIH, MJFF, LBDA, Parkinson's Foundation, Eli Lilly, NeuroDerm, Cerevel Therapeutics and personal consulting honoraria from Global Kinetics Corporation, GB Sciences, ACADIA, PSG, Elsevier, Kyowa Kirin, AbbVie, and Supernus. IL's research is supported by the National Institutes of Health Grants: 2R01AG038791-06A, U01NS100610, U01NS80818, R25NS098999; U19 AG063911-1 and 1R21NS114764-01A1; the Michael J Fox Foundation, Parkinson Foundation, Lewy Body Association, CurePSP, Roche, Abbvie, Biogen, Centogene. EIP-Pharma, Biohaven Pharmaceuticals, Novartis, Brain Neurotherapy Bio, and United Biopharma SRL—UCB. IL was a member of the Scientific Advisory Board of Lundbeck and is a Scientific Advisor for Amydis and Rossy Center for the Progressive Supranuclear Palsy University of Toronto. IL receives her salary from the University of California San Diego and as Chief Editor of Frontiers in Neurology. JL receives grant funding from the NIH/NIA/NINDS (P30AG072959/P30AG062428/U01NS100610), LBDA, GE Healthcare and serves as a consultant for Eisai Pharmaceuticals. RW serves on the data safety monitoring boards for Alexion, Bukwang, and Sarepta Pharmaceuticals and the Scientific Platform Steering Committee for Adams Pharmaceuticals. RW serves as a consultant for Lundbeck, Acadia, Teva, Abbvie, Alexion, Adamas, Prime, Bukwang, Sarepta, Syneos, Techspert, Guidepoint and also for R01R01NS117547 with Principal Investigator, Virendra Mishra. AL has received research support from the Dutch Research Council (ZonMW), Alzheimer Netherlands, Dioraphte Foundation, AL has given lectures in symposia sponsored by GE. CG is a scientific consultant and has stock in CND Life Sciences. SG has served on Advisory Boards of Jannsen, Acadia, and Sanofi, has received consulting fees from EIP Pharma, and has received funding from the NIH, the DOD CDMRP, the Michael J. Fox Foundation, the FFFPRI, and the Lewy Body Dementia Association. BB has served as an investigator for clinical trials sponsored by Alector, EIP Pharma, and Biogen. He serves on the Scientific Advisory Board of the Tau Consortium. He receives institutional research support from the NIH, the Lewy Body Dementia Association Research Centers of Excellence Program, the Mayo Clinic Dorothy and Harry T. Mangurian Jr. Lewy Body Dementia Program, the Little Family Foundation, and the Ted Turner and Family Foundation. AP serves on the Scientific Advisory Board of MedRhythms, Inc. and receives research support from the Lewy Body Dementia Association (as Co-Director of the Johns Hopkins LBDA Research Center of Excellence) and NIH/NINDS/NIA (U01NS102035; K23AG059891). DG receives research support from NIA (AG062429), the State of California, and the Michael J. Fox Foundation, which is a paid consultant for Biogen, Roche, Esai, Cognition Therapeutics, Fujirebio, Amprion, Generian, and Editor of Alzheimer's Research & Therapy. DH is supported by The Michael J. Fox Foundation (MJFF-010556), NIH-NINDS 1K23NS105944-01A1, the American Parkinson's Disease Association Center for Advanced Research (Emory University), and the Lewy Body Dementia Association Research Center of Excellence (Emory University). JF is on the editorial board of the American Academy of Neurology's Brain and Life magazine (uncompensated), Lewy Body Dementia Association Scientific Affairs Committee (uncompensated), and has received honoraria from Parkinson's Foundation. JF receives grant funding from the NIH/NIA/NINDS (K23NS097615, 5P30AG064200-02), CurePSP, and Parkinson's Foundation. KD-R receives research funding from the NIH (P30 AG066509) and LBDA Research Center of Excellence; has served on a Biogen advisory board; receives speakers honoraria from MedBridge. LS receives research support from NIH/NIA U19 AG024904, ADNI3 grant; NIH/NIA P30 AG010124, UPENN ADCC grant; and the Michael J. Fox Foundation for Parkinson's Research. He is a consultant for Biogen and Roche Diagnostics and is on the speaker's bureaus for Biogen and Fujirebio. DI receives research funding from NIH (R01-NS109260, P01-AG066597, U19-AG062418, U01-NS100610), Penn Institute on Aging and is the co-PI of the Penn LBDA Research Centers of Excellence. He is a member of the scientific advisory board of Denali Therapeutics. LH is a paid consultant for Biogen, Cortexyme, Eisai, Medscape, and Prevail. LH receives grant support from NIA, NINDS, LBDA, Acumen, Alector, Avanir, Eisai, Genentech/Roche, Janssen/Johnson & Johnson, NovoNordisk, Transposon, UCB, and Vaccinex. JD receives research funding from NIH, the Department of Veterans Affairs, the Michael J. Fox Foundation and Innervace, Inc. He is also the co-PI of the Penn LBDA Research Center of Excellence. IL is the Editor in Chief of the journal but she was not involved in the process of referee selection, peer review or the acceptance decision. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Scott, Arnold, Beach, Gibbons, Kanthasamy, Lebovitz, Lemstra, Shaw, Teunissen, Zetterberg, Taylor, Graham, Boeve, Gomperts, Graff-Radford, Moussa, Poston, Rosenthal, Sabbagh, Walsh, Weber, Armstrong, Bang, Bozoki, Domoto-Reilly, Duda, Fleisher, Galasko, Galvin, Goldman, Holden, Honig, Huddleston, Leverenz, Litvan, Manning, Marder, Pantelyat, Pelak, Scharre, Sha, Shill, Mari, Quinn and Irwin.)
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38. Regional prefrontal cortical atrophy predicts specific cognitive-behavioral symptoms in ALS-FTD.
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Ratti E, Domoto-Reilly K, Caso C, Murphy A, Brickhouse M, Hochberg D, Makris N, Cudkowicz ME, and Dickerson BC
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- Atrophy, Behavioral Symptoms, Cognition, Humans, Magnetic Resonance Imaging, Amyotrophic Lateral Sclerosis diagnostic imaging, Frontotemporal Dementia diagnostic imaging
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Amyotrophic Lateral Sclerosis-Frontotemporal Dementia (ALS-FTD) may present typical behavioral variant FTD symptoms. This study aims to determine whether profile and severity of cognitive-behavioral symptoms in ALS/ALS-FTD are predicted by regional cortical atrophy. The hypothesis is that executive dysfunction can be predicted by dorsolateral prefrontal cortical (dlPFC) atrophy, apathy by dorsomedial PFC (dmPFC) and anterior cingulate cortical (ACC) atrophy, disinhibition by orbitofrontal cortical (OFC) atrophy. 3.0 Tesla MRI scans were acquired from 22 people with ALS or ALS-FTD. Quantitative cortical thickness analysis was performed with FreeSurfer. A priori-defined regions of interest (ROI) were used to measure cortical thickness in each participant and calculate magnitude of atrophy in comparison to 115 healthy controls. Spearman correlations were used to evaluate associations between frontal ROI cortical thickness and cognitive-behavioral symptoms, measured by Neuropsychiatric Inventory Questionnaire (NPI-Q) and Clinical Dementia Rating (CDR) scale. ALS-FTD participants exhibited variable degrees of apathy (NPI-Q/apathy: 1.6 ± 1.2), disinhibition (NPI-Q/disinhibition: 1.2 ± 1.2), executive dysfunction (CDR/judgment-problem solving: 1.7 ± 0.8). Within the ALS-FTD group, executive dysfunction correlated with dlPFC atrophy (ρ:-0.65;p < 0.05); similar trends were seen for apathy with ACC (ρ:-0.53;p < 0.10) and dmPFC (ρ:-0.47;p < 0.10) atrophy, for disinhibition with OFC atrophy (ρ:-0.51;p < 0.10). Compared to people with ALS, those with ALS-FTD showed more diffuse atrophy involving precentral gyrus, prefrontal, temporal regions. Profile and severity of cognitive-behavioral symptoms in ALS-FTD are predicted by regional prefrontal atrophy. These findings are consistent with established brain-behavior models and support the role of quantitative MRI in diagnosis, management, counseling, monitoring and prognostication for a neurodegenerative disorder with diverse phenotypes., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.)
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- 2021
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39. Associations of Binge Drinking With Vascular Brain Injury and Atrophy in Older American Indians: The Strong Heart Study.
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Lewis JP, Suchy-Dicey AM, Noonan C, Blue Bird Jernigan V, Umans JG, Domoto-Reilly K, Buchwald DS, and Manson SM
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- Aged, Alcohol Drinking adverse effects, Atrophy, Brain diagnostic imaging, Brain pathology, Cerebrovascular Trauma diagnostic imaging, Cerebrovascular Trauma pathology, Cohort Studies, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Alcohol Drinking epidemiology, Binge Drinking epidemiology, Cerebrovascular Trauma ethnology, Indians, North American psychology, American Indian or Alaska Native psychology
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Objectives: American Indians (AIs) generally consume less alcohol than the US general population; however, the prevalence of alcohol use disorder is higher. This is the first large cohort study to examine binge drinking as a risk factor for vascular brain injury (VBI). Methods: We used linear and Poisson regression to examine the association of self-reported binge drinking with VBI, measured via magnetic resonance imaging (MRI), in 817 older AIs who participated in the Strong Heart and Cerebrovascular Disease and Its Consequences in American Indians studies. Results: Any binge drinking at multiple time-points was associated with increased sulcal (β = 0.360, 95% CI [0.079, 0.641]) and ventricle dilatation (β = 0.512, 95% CI [0.174, 0.850]) compared to no binge drinking. Discussion: These observed associations are consistent with previous findings. Identifying how binge drinking may contribute to VBI in older AIs may suggest modifiable health behaviors for neurological risk reduction and disease prevention.
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- 2021
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40. Plasma Neurofilament Light for Prediction of Disease Progression in Familial Frontotemporal Lobar Degeneration.
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Rojas JC, Wang P, Staffaroni AM, Heller C, Cobigo Y, Wolf A, Goh SM, Ljubenkov PA, Heuer HW, Fong JC, Taylor JB, Veras E, Song L, Jeromin A, Hanlon D, Yu L, Khinikar A, Sivasankaran R, Kieloch A, Valentin MA, Karydas AM, Mitic LL, Pearlman R, Kornak J, Kramer JH, Miller BL, Kantarci K, Knopman DS, Graff-Radford N, Petrucelli L, Rademakers R, Irwin DJ, Grossman M, Ramos EM, Coppola G, Mendez MF, Bordelon Y, Dickerson BC, Ghoshal N, Huey ED, Mackenzie IR, Appleby BS, Domoto-Reilly K, Hsiung GR, Toga AW, Weintraub S, Kaufer DI, Kerwin D, Litvan I, Onyike CU, Pantelyat A, Roberson ED, Tartaglia MC, Foroud T, Chen W, Czerkowicz J, Graham DL, van Swieten JC, Borroni B, Sanchez-Valle R, Moreno F, Laforce R, Graff C, Synofzik M, Galimberti D, Rowe JB, Masellis M, Finger E, Vandenberghe R, de Mendonça A, Tagliavini F, Santana I, Ducharme S, Butler CR, Gerhard A, Levin J, Danek A, Otto M, Sorbi S, Cash DM, Convery RS, Bocchetta M, Foiani M, Greaves CV, Peakman G, Russell L, Swift I, Todd E, Rohrer JD, Boeve BF, Rosen HJ, and Boxer AL
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- Adult, Aged, Aged, 80 and over, Biomarkers blood, Cohort Studies, Female, Humans, Magnetic Resonance Imaging trends, Male, Middle Aged, Predictive Value of Tests, Young Adult, Disease Progression, Frontotemporal Lobar Degeneration blood, Frontotemporal Lobar Degeneration diagnostic imaging, Neurofilament Proteins blood
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Objective: We tested the hypothesis that plasma neurofilament light chain (NfL) identifies asymptomatic carriers of familial frontotemporal lobar degeneration (FTLD)-causing mutations at risk of disease progression., Methods: Baseline plasma NfL concentrations were measured with single-molecule array in original (n = 277) and validation (n = 297) cohorts. C9orf72 , GRN , and MAPT mutation carriers and noncarriers from the same families were classified by disease severity (asymptomatic, prodromal, and full phenotype) using the CDR Dementia Staging Instrument plus behavior and language domains from the National Alzheimer's Disease Coordinating Center FTLD module (CDR+NACC-FTLD). Linear mixed-effect models related NfL to clinical variables., Results: In both cohorts, baseline NfL was higher in asymptomatic mutation carriers who showed phenoconversion or disease progression compared to nonprogressors (original: 11.4 ± 7 pg/mL vs 6.7 ± 5 pg/mL, p = 0.002; validation: 14.1 ± 12 pg/mL vs 8.7 ± 6 pg/mL, p = 0.035). Plasma NfL discriminated symptomatic from asymptomatic mutation carriers or those with prodromal disease (original cutoff: 13.6 pg/mL, 87.5% sensitivity, 82.7% specificity; validation cutoff: 19.8 pg/mL, 87.4% sensitivity, 84.3% specificity). Higher baseline NfL correlated with worse longitudinal CDR+NACC-FTLD sum of boxes scores, neuropsychological function, and atrophy, regardless of genotype or disease severity, including asymptomatic mutation carriers., Conclusions: Plasma NfL identifies asymptomatic carriers of FTLD-causing mutations at short-term risk of disease progression and is a potential tool to select participants for prevention clinical trials., Trial Registration Information: ClinicalTrials.gov Identifier: NCT02372773 and NCT02365922., Classification of Evidence: This study provides Class I evidence that in carriers of FTLD-causing mutations, elevation of plasma NfL predicts short-term risk of clinical progression., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)
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41. Revised Self-Monitoring Scale: A potential endpoint for frontotemporal dementia clinical trials.
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Toller G, Ranasinghe K, Cobigo Y, Staffaroni A, Appleby B, Brushaber D, Coppola G, Dickerson B, Domoto-Reilly K, Fields J, Fong J, Forsberg L, Ghoshal N, Graff-Radford N, Grossman M, Heuer H, Hsiung GY, Huey E, Irwin D, Kantarci K, Kaufer D, Kerwin D, Knopman D, Kornak J, Kramer J, Litvan I, Mackenzie I, Mendez M, Miller B, Rademakers R, Ramos E, Rascovsky K, Roberson E, Syrjanen J, Tartaglia C, Weintraub S, Boeve B, Boxer A, Rosen H, and Rankin K
- Subjects
- Adult, Aged, Clinical Trials as Topic methods, Expressed Emotion physiology, Facial Expression, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging methods, Magnetic Resonance Imaging standards, Male, Middle Aged, Reproducibility of Results, Self-Management methods, Self-Management psychology, Caregivers psychology, Caregivers standards, Clinical Trials as Topic standards, Frontotemporal Dementia diagnostic imaging, Frontotemporal Dementia psychology, Surveys and Questionnaires standards
- Abstract
Objective: To investigate whether the Revised Self-Monitoring Scale (RSMS), an informant measure of socioemotional sensitivity, is a potential clinical endpoint for treatment trials for patients with behavioral variant frontotemporal dementia (bvFTD)., Methods: We investigated whether RSMS informant ratings reflected disease severity in 475 participants (71 bvFTD mutation+, 154 bvFTD mutation-, 12 behavioral mild cognitive impairment [MCI] mutation+, 98 asymptomatic mutation+, 140 asymptomatic mutation-). In a subset of 62 patients (20 bvFTD mutation+, 35 bvFTD mutation-, 7 MCI mutation+) who had at least 2 time points of T1-weighted images available on the same 3T scanner, we examined longitudinal changes in RSMS score over time and its correspondence to progressive gray matter atrophy., Results: RSMS score showed a similar pattern in mutation carriers and noncarriers, with significant drops at each stage of progression from asymptomatic to very mild, mild, moderate, and severe disease (F
4,48 = 140.10, p < 0.001) and a significant slope of decline over time in patients with bvFTD ( p = 0.004, 95% confidence interval [CI] -1.90 to -0.23). More rapid declines on the RSMS corresponded to faster gray matter atrophy predominantly in the salience network (SN), and RSMS score progression best predicted thalamic volume in very mild and mild disease stages of bvFTD. Higher RSMS score predicted more caregiver burden ( p < 0.001, 95% CI -0.30 to -0.11)., Conclusions: The RSMS is sensitive to progression of both socioemotional symptoms and SN atrophy in patients with bvFTD and corresponds directly to caregiver burden. The RSMS may be useful in both neurologic practice and clinical trials aiming to treat behavioral symptoms of patients with bvFTD., (© 2020 American Academy of Neurology.)- Published
- 2020
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42. Attitudes toward advance care planning among persons with dementia and their caregivers.
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Pettigrew C, Brichko R, Black B, O'Connor MK, Austrom MG, Robinson MT, Lindauer A, Shah RC, Peavy GM, Meyer K, Schmitt FA, Lingler JH, Domoto-Reilly K, Farrar-Edwards D, and Albert M
- Subjects
- Aged, Aged, 80 and over, Attitude, Cross-Sectional Studies, Dementia ethnology, Female, Humans, Male, Middle Aged, Surveys and Questionnaires, Advance Care Planning, Caregivers psychology, Dementia therapy, Health Knowledge, Attitudes, Practice, Terminal Care psychology
- Abstract
Objectives: To examine factors that influence decision-making, preferences, and plans related to advance care planning (ACP) and end-of-life care among persons with dementia and their caregivers, and examine how these may differ by race., Design: Cross-sectional survey., Setting: 13 geographically dispersed Alzheimer's Disease Centers across the United States., Participants: 431 racially diverse caregivers of persons with dementia., Measurements: Survey on "Care Planning for Individuals with Dementia.", Results: The respondents were knowledgeable about dementia and hospice care, indicated the person with dementia would want comfort care at the end stage of illness, and reported high levels of both legal ACP (e.g., living will; 87%) and informal ACP discussions (79%) for the person with dementia. However, notable racial differences were present. Relative to white persons with dementia, African American persons with dementia were reported to have a lower preference for comfort care (81% vs. 58%) and lower rates of completion of legal ACP (89% vs. 73%). Racial differences in ACP and care preferences were also reflected in geographic differences. Additionally, African American study partners had a lower level of knowledge about dementia and reported a greater influence of religious/spiritual beliefs on the desired types of medical treatments. Notably, all respondents indicated that more information about the stages of dementia and end-of-life health care options would be helpful., Conclusions: Educational programs may be useful in reducing racial differences in attitudes towards ACP. These programs could focus on the clinical course of dementia and issues related to end-of-life care, including the importance of ACP.
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- 2020
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43. Utility of the global CDR ® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium.
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Miyagawa T, Brushaber D, Syrjanen J, Kremers W, Fields J, Forsberg LK, Heuer HW, Knopman D, Kornak J, Boxer A, Rosen HJ, Boeve BF, Appleby B, Bordelon Y, Bove J, Brannelly P, Caso C, Coppola G, Dever R, Dheel C, Dickerson B, Dickinson S, Dominguez S, Domoto-Reilly K, Faber K, Ferrell J, Fishman A, Fong J, Foroud T, Gavrilova R, Gearhart D, Ghazanfari B, Ghoshal N, Goldman JS, Graff-Radford J, Graff-Radford N, Grant I, Grossman M, Haley D, Hsiung R, Huey E, Irwin D, Jones D, Jones L, Kantarci K, Karydas A, Kaufer D, Kerwin D, Kraft R, Kramer J, Kukull W, Litvan I, Lucente D, Lungu C, Mackenzie I, Maldonado M, Manoochehri M, McGinnis S, McKinley E, Mendez MF, Miller B, Multani N, Onyike C, Padmanabhan J, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin K, Rascovsky K, Roberson ED, Rogalski E, Sengdy P, Shaw L, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski JQ, Wang P, Weintraub S, Wong B, and Wszolek Z
- Subjects
- Aged, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Aphasia, Primary Progressive diagnosis, Frontotemporal Lobar Degeneration diagnosis, Mental Status and Dementia Tests statistics & numerical data
- Abstract
Introduction: We created global rating scoring rules for the CDR
® plus NACC FTLD to detect and track early frontotemporal lobar degeneration (FTLD) and to conduct clinical trials in FTLD., Methods: The CDR plus NACC FTLD rating was applied to 970 sporadic and familial participants from the baseline visit of Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL)/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS). Each of the eight domains of the CDR plus NACC FTLD was equally weighed in determining the global score. An interrater reliability study was completed for 40 participants., Results: The CDR plus NACC FTLD showed very good interrater reliability. It was especially useful in detecting clinical features of mild non-fluent/agrammatic variant primary progressive aphasia participants., Discussion: The global CDR plus NACC FTLD score could be an attractive outcome measure for clinical trials in symptomatic FTLD, and may be useful in natural history studies and clinical trials in FTLD spectrum disorders., (© 2020 the Alzheimer's Association.)- Published
- 2020
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44. Assessment of executive function declines in presymptomatic and mildly symptomatic familial frontotemporal dementia: NIH-EXAMINER as a potential clinical trial endpoint.
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Staffaroni AM, Bajorek L, Casaletto KB, Cobigo Y, Goh SM, Wolf A, Heuer HW, Elahi FM, Ljubenkov PA, Dever R, Kornak J, Appleby B, Bove J, Bordelon Y, Brannelly P, Brushaber D, Caso C, Coppola G, Dheel C, Dickerson BC, Dickinson S, Dominguez S, Domoto-Reilly K, Faber K, Ferrall J, Fields JA, Fishman A, Fong J, Foroud T, Forsberg LK, Gavrilova R, Gearhart D, Ghazanfari B, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grant I, Grossman M, Haley D, Hsiung GY, Huey ED, Irwin DJ, Jones DT, Jones L, Kantarci K, Karydas A, Kaufer DI, Kerwin DR, Knopman DS, Kraft R, Kremers WK, Kukull WA, Litvan I, Lucente D, Lungu C, Mackenzie IR, Maldonado M, Manoochehri M, McGinnis SM, McKinley E, Mendez MF, Miller BL, Multani N, Onyike C, Padmanabhan J, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin KP, Rascovsky K, Roberson ED, Rogalski E, Sengdy P, Shaw LM, Syrjanen J, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski JQ, Weintraub S, Wang P, Wong B, Wszolek Z, Boxer AL, Boeve BF, Kramer JH, and Rosen HJ
- Subjects
- Biomarkers, C9orf72 Protein genetics, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Mutation, Disease Progression, Executive Function physiology, Frontotemporal Dementia diagnosis, Frontotemporal Dementia genetics, Neuropsychological Tests statistics & numerical data
- Abstract
Introduction: Identifying clinical measures that track disease in the earliest stages of frontotemporal lobar degeneration (FTLD) is important for clinical trials. Familial FTLD provides a unique paradigm to study early FTLD. Executive dysfunction is a clinically relevant hallmark of FTLD and may be a marker of disease progression., Methods: Ninety-three mutation carriers with no symptoms or minimal/questionable symptoms (MAPT, n = 31; GRN, n = 28; C9orf72, n = 34; Clinical Dementia Rating scale plus NACC FTLD Module < 1) and 78 noncarriers enrolled through Advancing Research and Treatment in Frontotemporal Lobar Degeneration/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects studies completed the Executive Abilities: Measures and Instruments for Neurobehavioral Evaluation and Research (NIH-EXAMINER) and the UDS neuropsychological battery. Linear mixed-effects models were used to identify group differences in cognition at baseline and longitudinally. We examined associations between cognition, clinical functioning, and magnetic resonance imaging volumes., Results: NIH-EXAMINER scores detected baseline and differences in slopes between carriers and noncarriers, even in carriers with a baseline Clinical Dementia Rating scale plus NACC FTLD Module = 0. NIH-EXAMINER declines were associated with worsening clinical symptoms and brain volume loss., Discussion: The NIH-EXAMINER is sensitive to cognitive changes in presymptomatic familial FTLD and is a promising surrogate endpoint., (© 2019 The Authors. Alzheimer's & Dementia published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association.)
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- 2020
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45. Clinical and volumetric changes with increasing functional impairment in familial frontotemporal lobar degeneration.
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Olney NT, Ong E, Goh SM, Bajorek L, Dever R, Staffaroni AM, Cobigo Y, Bock M, Chiang K, Ljubenkov P, Kornak J, Heuer HW, Wang P, Rascovsky K, Wolf A, Appleby B, Bove J, Bordelon Y, Brannelly P, Brushaber D, Caso C, Coppola G, Dickerson BC, Dickinson S, Domoto-Reilly K, Faber K, Ferrall J, Fields J, Fishman A, Fong J, Foroud T, Forsberg LK, Gearhart DJ, Ghazanfari B, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford NR, Grant I, Grossman M, Haley D, Hsiung G, Huey ED, Irwin DJ, Jones DT, Kantarci K, Karydas AM, Kaufer D, Kerwin D, Knopman DS, Kramer JH, Kraft R, Kremers W, Kukull W, Lapid MI, Litvan I, Mackenzie IR, Maldonado M, Manoochehri M, McGinnis SM, McKinley EC, Mendez MF, Miller BL, Onyike C, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin KP, Roberson ED, Rogalski E, Sengdy P, Shaw LM, Syrjanen J, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski JQ, Weintraub S, Wong B, Wszolek Z, Boxer AL, Boeve BF, and Rosen HJ
- Subjects
- C9orf72 Protein genetics, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Progranulins genetics, Temporal Lobe pathology, tau Proteins genetics, Atrophy pathology, Frontotemporal Lobar Degeneration genetics, Frontotemporal Lobar Degeneration pathology, Genetic Predisposition to Disease, Image Processing, Computer-Assisted statistics & numerical data, Neuropsychological Tests statistics & numerical data
- Abstract
Introduction: The Advancing Research and Treatment in Frontotemporal Lobar Degeneration and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects longitudinal studies were designed to describe the natural history of familial-frontotemporal lobar degeneration due to autosomal dominant mutations., Methods: We examined cognitive performance, behavioral ratings, and brain volumes from the first time point in 320 MAPT, GRN, and C9orf72 family members, including 102 non-mutation carriers, 103 asymptomatic carriers, 43 mildly/questionably symptomatic carriers, and 72 carriers with dementia., Results: Asymptomatic carriers showed similar scores on all clinical measures compared with noncarriers but reduced frontal and temporal volumes. Those with mild/questionable impairment showed decreased verbal recall, fluency, and Trail Making Test performance and impaired mood and self-monitoring. Dementia was associated with impairment in all measures. All MAPT carriers with dementia showed temporal atrophy, but otherwise, there was no single cognitive test or brain region that was abnormal in all subjects., Discussion: Imaging changes appear to precede clinical changes in familial-frontotemporal lobar degeneration, but specific early clinical and imaging changes vary across individuals., (© 2019 The Authors. Alzheimer's & Dementia published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association.)
- Published
- 2020
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46. Genetic screening of a large series of North American sporadic and familial frontotemporal dementia cases.
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Ramos EM, Dokuru DR, Van Berlo V, Wojta K, Wang Q, Huang AY, Deverasetty S, Qin Y, van Blitterswijk M, Jackson J, Appleby B, Bordelon Y, Brannelly P, Brushaber DE, Dickerson B, Dickinson S, Domoto-Reilly K, Faber K, Fields J, Fong J, Foroud T, Forsberg LK, Gavrilova R, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grant I, Grossman M, Heuer HW, Hsiung GR, Huey E, Irwin D, Kantarci K, Karydas A, Kaufer D, Kerwin D, Knopman D, Kornak J, Kramer JH, Kremers W, Kukull W, Litvan I, Ljubenkov P, Lungu C, Mackenzie I, Mendez MF, Miller BL, Onyike C, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rankin KP, Rascovsky K, Roberson ED, Rogalski E, Shaw L, Syrjanen J, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski JQ, Weintraub S, Wong B, Wszolek Z, Rademakers R, Boeve BF, Rosen HJ, Boxer AL, and Coppola G
- Subjects
- C9orf72 Protein genetics, Female, Humans, Male, Middle Aged, Progranulins genetics, tau Proteins genetics, Frontotemporal Dementia genetics, Genetic Predisposition to Disease, Genetic Testing
- Abstract
Introduction: The Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) consortia are two closely connected studies, involving multiple North American centers that evaluate both sporadic and familial frontotemporal dementia (FTD) participants and study longitudinal changes., Methods: We screened the major dementia-associated genes in 302 sporadic and 390 familial (symptomatic or at-risk) participants enrolled in these studies., Results: Among the sporadic patients, 16 (5.3%) carried chromosome 9 open reading frame 72 (C9orf72), microtubule-associated protein tau (MAPT), and progranulin (GRN) pathogenic variants, whereas in the familial series we identified 207 carriers from 146 families. Of interest, one patient was found to carry a homozygous C9orf72 expansion, while another carried both a C9orf72 expansion and a GRN pathogenic variant. We also identified likely pathogenic variants in the TAR DNA binding protein (TARDBP), presenilin 1 (PSEN1), and valosin containing protein (VCP) genes, and a subset of variants of unknown significance in other rare FTD genes., Discussion: Our study reports the genetic characterization of a large FTD series and supports an unbiased sequencing screen, irrespective of clinical presentation or family history., (© 2020 the Alzheimer's Association.)
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- 2020
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47. Individualized atrophy scores predict dementia onset in familial frontotemporal lobar degeneration.
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Staffaroni AM, Cobigo Y, Goh SM, Kornak J, Bajorek L, Chiang K, Appleby B, Bove J, Bordelon Y, Brannelly P, Brushaber D, Caso C, Coppola G, Dever R, Dheel C, Dickerson BC, Dickinson S, Dominguez S, Domoto-Reilly K, Faber K, Ferrall J, Fields JA, Fishman A, Fong J, Foroud T, Forsberg LK, Gavrilova R, Gearhart D, Ghazanfari B, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grant I, Grossman M, Haley D, Heuer HW, Hsiung GY, Huey ED, Irwin DJ, Jones DT, Jones L, Kantarci K, Karydas A, Kaufer DI, Kerwin DR, Knopman DS, Kraft R, Kramer JH, Kremers WK, Kukull WA, Litvan I, Ljubenkov PA, Lucente D, Lungu C, Mackenzie IR, Maldonado M, Manoochehri M, McGinnis SM, McKinley E, Mendez MF, Miller BL, Multani N, Onyike C, Padmanabhan J, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin KP, Rascovsky K, Roberson ED, Rogalski E, Sengdy P, Shaw LM, Syrjanen J, Tartaglia MC, Tatton N, Taylor J, Toga A, Trojanowski JQ, Weintraub S, Wang P, Wong B, Wszolek Z, Boxer AL, Boeve BF, and Rosen HJ
- Subjects
- Brain pathology, C9orf72 Protein genetics, Female, Humans, Image Processing, Computer-Assisted statistics & numerical data, Magnetic Resonance Imaging, Male, Middle Aged, Progranulins genetics, tau Proteins genetics, Atrophy pathology, Frontotemporal Dementia diagnostic imaging, Frontotemporal Dementia genetics, Genetic Predisposition to Disease, Mutation genetics, Neuropsychological Tests statistics & numerical data
- Abstract
Introduction: Some models of therapy for neurodegenerative diseases envision starting treatment before symptoms develop. Demonstrating that such treatments are effective requires accurate knowledge of when symptoms would have started without treatment. Familial frontotemporal lobar degeneration offers a unique opportunity to develop predictors of symptom onset., Methods: We created dementia risk scores in 268 familial frontotemporal lobar degeneration family members by entering covariate-adjusted standardized estimates of brain atrophy into a logistic regression to classify asymptomatic versus demented participants. The score's predictive value was tested in a separate group who were followed up longitudinally (stable vs. converted to dementia) using Cox proportional regressions with dementia risk score as the predictor., Results: Cross-validated logistic regression achieved good separation of asymptomatic versus demented (accuracy = 90%, SE = 0.06). Atrophy scores predicted conversion from asymptomatic or mildly/questionably symptomatic to dementia (HR = 1.51, 95% CI: [1.16,1.98])., Discussion: Individualized quantification of baseline brain atrophy is a promising predictor of progression in asymptomatic familial frontotemporal lobar degeneration mutation carriers., (© 2019 The Authors. Alzheimer's & Dementia published by Wiley Periodicals, Inc. on behalf of Alzheimer's Association.)
- Published
- 2020
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48. Nonlinear Z-score modeling for improved detection of cognitive abnormality.
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Kornak J, Fields J, Kremers W, Farmer S, Heuer HW, Forsberg L, Brushaber D, Rindels A, Dodge H, Weintraub S, Besser L, Appleby B, Bordelon Y, Bove J, Brannelly P, Caso C, Coppola G, Dever R, Dheel C, Dickerson B, Dickinson S, Dominguez S, Domoto-Reilly K, Faber K, Ferrall J, Fishman A, Fong J, Foroud T, Gavrilova R, Gearhart D, Ghazanfari B, Ghoshal N, Goldman J, Graff-Radford J, Graff-Radford N, Grant IM, Grossman M, Haley D, Hsiao J, Hsiung R, Huey ED, Irwin D, Jones D, Jones L, Kantarci K, Karydas A, Kaufer D, Kerwin D, Knopman D, Kraft R, Kramer J, Kukull W, Lapid M, Litvan I, Ljubenkov P, Lucente D, Lungu C, Mackenzie I, Maldonado M, Manoochehri M, McGinnis S, McKinley E, Mendez M, Miller B, Multani N, Onyike C, Padmanabhan J, Pantelyat A, Pearlman R, Petrucelli L, Potter M, Rademakers R, Ramos EM, Rankin K, Rascovsky K, Roberson ED, Rogalski-Miller E, Sengdy P, Shaw L, Staffaroni AM, Sutherland M, Syrjanen J, Tartaglia C, Tatton N, Taylor J, Toga A, Trojanowski J, Wang P, Wong B, Wszolek Z, Boeve B, Boxer A, and Rosen H
- Abstract
Introduction: Conventional Z-scores are generated by subtracting the mean and dividing by the standard deviation. More recent methods linearly correct for age, sex, and education, so that these "adjusted" Z-scores better represent whether an individual's cognitive performance is abnormal. Extreme negative Z-scores for individuals relative to this normative distribution are considered indicative of cognitive deficiency., Methods: In this article, we consider nonlinear shape constrained additive models accounting for age, sex, and education (correcting for nonlinearity). Additional shape constrained additive models account for varying standard deviation of the cognitive scores with age (correcting for heterogeneity of variance)., Results: Corrected Z-scores based on nonlinear shape constrained additive models provide improved adjustment for age, sex, and education, as indicated by higher adjusted-R
2 ., Discussion: Nonlinearly corrected Z-scores with respect to age, sex, and education with age-varying residual standard deviation allow for improved detection of non-normative extreme cognitive scores., (© 2019 Published by Elsevier Inc. on behalf of the Alzheimer's Association.)- Published
- 2019
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49. Resistance and resilience to Alzheimer's disease pathology are associated with reduced cortical pTau and absence of limbic-predominant age-related TDP-43 encephalopathy in a community-based cohort.
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Latimer CS, Burke BT, Liachko NF, Currey HN, Kilgore MD, Gibbons LE, Henriksen J, Darvas M, Domoto-Reilly K, Jayadev S, Grabowski TJ, Crane PK, Larson EB, Kraemer BC, Bird TD, and Keene CD
- Subjects
- Age Factors, Aged, Aged, 80 and over, Alzheimer Disease genetics, Alzheimer Disease psychology, Animals, Caenorhabditis elegans, Cohort Studies, Female, Humans, Male, Mental Status and Dementia Tests, Prospective Studies, Alzheimer Disease pathology, DNA-Binding Proteins genetics, Independent Living psychology, Limbic System pathology, Neocortex pathology, Resilience, Psychological, tau Proteins genetics
- Abstract
Alzheimer's disease neuropathologic change (ADNC) is defined by progressive accumulation of β-amyloid plaques and hyperphosphorylated tau (pTau) neurofibrillary tangles across diverse regions of brain. Non-demented individuals who reach advanced age without significant ADNC are considered to be resistant to AD, while those burdened with ADNC are considered to be resilient. Understanding mechanisms underlying ADNC resistance and resilience may provide important clues to treating and/or preventing AD associated dementia. ADNC criteria for resistance and resilience are not well-defined, so we developed stringent pathologic cutoffs for non-demented subjects to eliminate cases of borderline pathology. We identified 14 resistant (85+ years old, non-demented, Braak stage ≤ III, CERAD absent) and 7 resilient (non-demented, Braak stage VI, CERAD frequent) individuals out of 684 autopsies from the Adult Changes in Thought study, a long-standing community-based cohort. We matched each resistant or resilient subject to a subject with dementia and severe ADNC (Braak stage VI, CERAD frequent) by age, sex, year of death, and post-mortem interval. We expanded the neuropathologic evaluation to include quantitative approaches to assess neuropathology and found that resilient participants had lower neocortical pTau burden despite fulfilling criteria for Braak stage VI. Moreover, limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) was robustly associated with clinical dementia and was more prevalent in cases with high pTau burden, supporting the notion that resilience to ADNC may depend, in part, on resistance to pTDP-43 pathology. To probe for interactions between tau and TDP-43, we developed a C. elegans model of combined human (h) Tau and TDP-43 proteotoxicity, which exhibited a severe degenerative phenotype most compatible with a synergistic, rather than simply additive, interaction between hTau and hTDP-43 neurodegeneration. Pathways that underlie this synergy may present novel therapeutic targets for the prevention and treatment of AD.
- Published
- 2019
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50. Lewy Body Dementia Association's Research Centers of Excellence Program: Inaugural Meeting Proceedings.
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Peterson B, Armstrong M, Galasko D, Galvin JE, Goldman J, Irwin D, Paulson H, Kaufer D, Leverenz J, Lunde A, McKeith IG, Siderowf A, Taylor A, Amodeo K, Barrett M, Domoto-Reilly K, Duda J, Gomperts S, Graff-Radford N, Holden S, Honig L, Huddleston D, Lippa C, Litvan I, Manning C, Marder K, Moussa C, Onyike C, Pagan F, Pantelyat A, Pelak V, Poston K, Quinn J, Richard I, Rosenthal LS, Sabbagh M, Scharre D, Sha S, Shill H, Torres-Yaghi Y, Christie T, Graham T, Richards I, Koehler M, and Boeve B
- Subjects
- Biomedical Research methods, Clinical Trials as Topic methods, Humans, Lewy Body Disease diagnosis, Lewy Body Disease epidemiology, New Orleans, Biomedical Research standards, Clinical Trials as Topic standards, Congresses as Topic standards, Lewy Body Disease therapy
- Abstract
The first Lewy Body Dementia Association (LBDA) Research Centers of Excellence (RCOE) Investigator's meeting was held on December 14, 2017, in New Orleans. The program was established to increase patient access to clinical experts on Lewy body dementia (LBD), which includes dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), and to create a clinical trials-ready network. Four working groups (WG) were created to pursue the LBDA RCOE aims: (1) increase access to high-quality clinical care, (2) increase access to support for people living with LBD and their caregivers, (3) increase knowledge of LBD among medical and allied (or other) professionals, and (4) create infrastructure for a clinical trials-ready network as well as resources to advance the study of new therapeutics.
- Published
- 2019
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