Author: "Cash, David M" / Publication Type: Academic Journals - Searchworks@Jio Institute Digital Library Search Results

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733 results on '"Cash, David M"'

1. Updating the study protocol: Insight 46 – a longitudinal neuroscience sub-study of the MRC National Survey of Health and Development – phases 2 and 3

Author: Murray-Smith, Heidi, Barker, Suzie, Barkhof, Frederik, Barnes, Josephine, Brown, Thomas M., Captur, Gabriella, R.E.Cartlidge, Molly, Cash, David M., Coath, William, Davis, Daniel, Dickson, John C., Groves, James, Hughes, Alun D., James, Sarah-Naomi, Keshavan, Ashvini, Keuss, Sarah E., King-Robson, Josh, Lu, Kirsty, Malone, Ian B., Nicholas, Jennifer M., Rapala, Alicja, Scott, Catherine J., Street, Rebecca, Sudre, Carole H., Thomas, David L., Wong, Andrew, Wray, Selina, Zetterberg, Henrik, Chaturvedi, Nishi, Fox, Nick C., Crutch, Sebastian J., Richards, Marcus, and Schott, Jonathan M.
Published: 2024
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2. Diagnostic accuracy of research criteria for prodromal frontotemporal dementia

Author: Benussi, Alberto, Premi, Enrico, Grassi, Mario, Alberici, Antonella, Cantoni, Valentina, Gazzina, Stefano, Archetti, Silvana, Gasparotti, Roberto, Fumagalli, Giorgio G., Bouzigues, Arabella, Russell, Lucy L., Samra, Kiran, Cash, David M., Bocchetta, Martina, Todd, Emily G., Convery, Rhian S., Swift, Imogen, Sogorb-Esteve, Aitana, Heller, Carolin, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce, Robert Jr., Graff, Caroline, Synofzik, Matthis, Galimberti, Daniela, Rowe, James B., Masellis, Mario, Tartaglia, Maria Carmela, Finger, Elizabeth, Vandenberghe, Rik, Mendonça, Alexandre, Tiraboschi, Pietro, Butler, Chris R., Santana, Isabel, Gerhard, Alexander, Le Ber, Isabelle, Pasquier, Florence, Ducharme, Simon, Levin, Johannes, Sorbi, Sandro, Otto, Markus, Padovani, Alessandro, Rohrer, Jonathan D., and Borroni, Barbara
Published: 2024
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3. Uncovering spatiotemporal patterns of atrophy in progressive supranuclear palsy using unsupervised machine learning.

Author: Scotton, William J, Shand, Cameron, Todd, Emily, Bocchetta, Martina, Cash, David M, VandeVrede, Lawren, Heuer, Hilary, PROSPECT Consortium, 4RTNI Consortium, Young, Alexandra L, Oxtoby, Neil, Alexander, Daniel C, Rowe, James B, Morris, Huw R, Boxer, Adam L, Rohrer, Jonathan D, and Wijeratne, Peter A
Subjects: PROSPECT Consortium, 4RTNI Consortium, Subtype and Stage Inference, biomarkers, disease progression, machine learning, progressive supranuclear palsy, Clinical Research, Rare Diseases, Neurosciences, Biomedical Imaging, Brain Disorders, Neurodegenerative, 2.1 Biological and endogenous factors, Aetiology, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Neurological
Abstract: To better understand the pathological and phenotypic heterogeneity of progressive supranuclear palsy and the links between the two, we applied a novel unsupervised machine learning algorithm (Subtype and Stage Inference) to the largest MRI data set to date of people with clinically diagnosed progressive supranuclear palsy (including progressive supranuclear palsy-Richardson and variant progressive supranuclear palsy syndromes). Our cohort is comprised of 426 progressive supranuclear palsy cases, of which 367 had at least one follow-up scan, and 290 controls. Of the progressive supranuclear palsy cases, 357 were clinically diagnosed with progressive supranuclear palsy-Richardson, 52 with a progressive supranuclear palsy-cortical variant (progressive supranuclear palsy-frontal, progressive supranuclear palsy-speech/language, or progressive supranuclear palsy-corticobasal), and 17 with a progressive supranuclear palsy-subcortical variant (progressive supranuclear palsy-parkinsonism or progressive supranuclear palsy-progressive gait freezing). Subtype and Stage Inference was applied to volumetric MRI features extracted from baseline structural (T1-weighted) MRI scans and then used to subtype and stage follow-up scans. The subtypes and stages at follow-up were used to validate the longitudinal consistency of subtype and stage assignments. We further compared the clinical phenotypes of each subtype to gain insight into the relationship between progressive supranuclear palsy pathology, atrophy patterns, and clinical presentation. The data supported two subtypes, each with a distinct progression of atrophy: a 'subcortical' subtype, in which early atrophy was most prominent in the brainstem, ventral diencephalon, superior cerebellar peduncles, and the dentate nucleus, and a 'cortical' subtype, in which there was early atrophy in the frontal lobes and the insula alongside brainstem atrophy. There was a strong association between clinical diagnosis and the Subtype and Stage Inference subtype with 82% of progressive supranuclear palsy-subcortical cases and 81% of progressive supranuclear palsy-Richardson cases assigned to the subcortical subtype and 82% of progressive supranuclear palsy-cortical cases assigned to the cortical subtype. The increasing stage was associated with worsening clinical scores, whilst the 'subcortical' subtype was associated with worse clinical severity scores compared to the 'cortical subtype' (progressive supranuclear palsy rating scale and Unified Parkinson's Disease Rating Scale). Validation experiments showed that subtype assignment was longitudinally stable (95% of scans were assigned to the same subtype at follow-up) and individual staging was longitudinally consistent with 90% remaining at the same stage or progressing to a later stage at follow-up. In summary, we applied Subtype and Stage Inference to structural MRI data and empirically identified two distinct subtypes of spatiotemporal atrophy in progressive supranuclear palsy. These image-based subtypes were differentially enriched for progressive supranuclear palsy clinical syndromes and showed different clinical characteristics. Being able to accurately subtype and stage progressive supranuclear palsy patients at baseline has important implications for screening patients on entry to clinical trials, as well as tracking disease progression.
Published: 2023

4. Temporal order of clinical and biomarker changes in familial frontotemporal dementia

Author: Staffaroni, Adam M, Quintana, Melanie, Wendelberger, Barbara, Heuer, Hilary W, Russell, Lucy L, Cobigo, Yann, Wolf, Amy, Goh, Sheng-Yang Matt, Petrucelli, Leonard, Gendron, Tania F, Heller, Carolin, Clark, Annie L, Taylor, Jack Carson, Wise, Amy, Ong, Elise, Forsberg, Leah, Brushaber, Danielle, Rojas, Julio C, VandeVrede, Lawren, Ljubenkov, Peter, Kramer, Joel, Casaletto, Kaitlin B, Appleby, Brian, Bordelon, Yvette, Botha, Hugo, Dickerson, Bradford C, Domoto-Reilly, Kimiko, Fields, Julie A, Foroud, Tatiana, Gavrilova, Ralitza, Geschwind, Daniel, Ghoshal, Nupur, Goldman, Jill, Graff-Radford, Jonathon, Graff-Radford, Neill, Grossman, Murray, Hall, Matthew G. H, Hsiung, Ging-Yuek, Huey, Edward D, Irwin, David, Jones, David T, Kantarci, Kejal, Kaufer, Daniel, Knopman, David, Kremers, Walter, Lago, Argentina Lario, Lapid, Maria I, Litvan, Irene, Lucente, Diane, Mackenzie, Ian R, Mendez, Mario F, Mester, Carly, Miller, Bruce L, Onyike, Chiadi U, Rademakers, Rosa, Ramanan, Vijay K, Ramos, Eliana Marisa, Rao, Meghana, Rascovsky, Katya, Rankin, Katherine P, Roberson, Erik D, Savica, Rodolfo, Tartaglia, M. Carmela, Weintraub, Sandra, Wong, Bonnie, Cash, David M, Bouzigues, Arabella, Swift, Imogen J, Peakman, Georgia, Bocchetta, Martina, Todd, Emily G, Convery, Rhian S, Rowe, James B, Borroni, Barbara, Galimberti, Daniela, Tiraboschi, Pietro, Masellis, Mario, Finger, Elizabeth, van Swieten, John C, Seelaar, Harro, Jiskoot, Lize C, Sorbi, Sandro, Butler, Chris R, Graff, Caroline, Gerhard, Alexander, Langheinrich, Tobias, Laforce, Robert, Sanchez-Valle, Raquel, de MendonÃ§a, Alexandre, Moreno, Fermin, Synofzik, Matthis, Vandenberghe, Rik, Ducharme, Simon, Le Ber, Isabelle, Levin, Johannes, Danek, Adrian, Otto, Markus, Pasquier, Florence, Santana, Isabel, and Kornak, John
Published: 2022

5. γ-Secretase activity, clinical features, and biomarkers of autosomal dominant Alzheimer's disease: cross-sectional and longitudinal analysis of the Dominantly Inherited Alzheimer Network observational study (DIAN-OBS)

Author: Aguillon, David, Allegri, Ricardo F., Aschenbrenner, Andrew J., Baker, Bryce, Barthelemy, Nicolas, Bechara, Jacob A., Berman, Sarah B., Brooks, William S., Cash, David M., Chen, Allison, Chrem Mendez, Patricio, Courtney, Laura, Cruchaga, Carlos, Daniels, Alisha J., Fagan, Anne M., Flores, Shaney, Fox, Nick C., Franklin, Erin, Goate, Alison M., Graber-Sultan, Susanne, Graff-Radford, Neill R., Gremminger, Emily, Herries, Elizabeth, Hofmann, Anna, Holtzman, David M., Hornbeck, Russ, Huey, Edward D., Ibanez, Laura, Ikeuchi, Takeshi, Ikonomovic, Snezana, Jackson, Kelley, Jarman, Steve, Jerome, Gina, Johnson, Erik C.B, Kasuga, Kensaku, Keefe, Sarah, Koudelis, Deborah, Kuder-Buletta, Elke, Laske, Christoph, Leon, Yudy Milena, Levey, Allan I., Li, Yan, Llibre-Guerra, Jorge J., Lopera, Francisco, Lu, Ruijin, Marsh, Jacob, Martins, Ralph, Massoumzadeh, Parinaz, Masters, Colin, McCullough, Austin, McKay, Nicole, Minton, Matthew, Mori, Hiroshi, Morris, John C., Nadkarni, Neelesh K., Nicklaus, Joyce, Niimi, Yoshiki, Noble, James M., Obermueller, Ulrike, Picarello, Danielle M., Pulizos, Christine, Ramirez, Laura, Renton, Alan E., Ringman, John, Rizzo, Jacqueline, Roedenbeck, Yvonne, Roh, Jee Hoon, Rosa-Neto, Pedro, Ryan, Natalie S., Sabaredzovic, Edita, Salloway, Stephen, Sanchez-Valle, Raquel, Scott, Jalen, Seyfried, Nicholas T., Simmons, Ashlee, Smith, Jennifer, Smith, Hunter, Stauber, Jennifer, Stout, Sarah, Supnet-Bell, Charlene, Surace, Ezequiel, Vazquez, Silvia, Vöglein, Jonathan, Wang, Guoqiao, Wang, Qing, Xu, Xiong, Xu, Jinbin, Schultz, Stephanie A, Liu, Lei, Schultz, Aaron P, Fitzpatrick, Colleen D, Levin, Raina, Bellier, Jean-Pierre, Shirzadi, Zahra, Joseph-Mathurin, Nelly, Chen, Charles D, Benzinger, Tammie L S, Day, Gregory S, Farlow, Martin R, Gordon, Brian A, Hassenstab, Jason J, Jack, Clifford R, Jr, Jucker, Mathias, Karch, Celeste M, Lee, Jae-Hong, Levin, Johannes, Perrin, Richard J, Schofield, Peter R, Xiong, Chengjie, Johnson, Keith A, McDade, Eric, Bateman, Randall J, Sperling, Reisa A, Selkoe, Dennis J, and Chhatwal, Jasmeer P
Published: 2024
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6. Comparison of tau spread in people with Down syndrome versus autosomal-dominant Alzheimer's disease: a cross-sectional study

Author: Aizenstein, Howard J., Andrews, Howard F., Bell, Karen, Birn, Rasmus M., Bulova, Peter, Cheema, Amrita, Chen, Kewei, Clare, Isabel, Clark, Lorraine, Cohen, Ann D., Constantino, John N., Doran, Eric W., Feingold, Eleanor, Foroud, Tatiana M., Hartley, Sigan L., Hom, Christy, Honig, Lawrence, Ikonomovic, Milos D., Johnson, Sterling C., Jordan, Courtney, Kamboh, M. Ilyas, Keator, David, Klunk, William E., Kofler, Julia K., Kreisl, William C., Krinsky-McHale, Sharon J., Lao, Patrick, Laymon, Charles, Lott, Ira T., Lupson, Victoria, Mathis, Chester A., Minhas, Davneet S., Nadkarni, Neelesh, Pang, Deborah, Petersen, Melissa, Price, Julie C., Pulsifer, Margaret, Reiman, Eric, Rizvi, Batool, Sabbagh, Marwan N., Schupf, Nicole, Tudorascu, Dana L., Tumuluru, Rameshwari, Tycko, Benjamin, Varadarajan, Badri, White, Desiree A., Yassa, Michael A., Zaman, Shahid, Zhang, Fan, Bateman, Randall, Daniels, Alisha J., Courtney, Laura, McDade, Eric, Llibre-Guerra, Jorge J., Supnet-Bell, Charlene, Xiong, Chengie, Xu, Xiong, Lu, Ruijin, Wang, Guoqiao, Li, Yan, Gremminger, Emily, Perrin, Richard J., Franklin, Erin, Ibanez, Laura, Jerome, Gina, Herries, Elizabeth, Stauber, Jennifer, Baker, Bryce, Minton, Matthew, Cruchaga, Carlos, Goate, Alison M., Renton, Alan E., Picarello, Danielle M., Benzinger, Tammie, Gordon, Brian A., Hornbeck, Russall, Hassenstab, Jason, Smith, Jennifer, Stout, Sarah, Aschenbrenner, Andrew J., Karch, Celeste M., Marsh, Jacob, Morris, John C., Holtzman, David M., Barthelemy, Nicolas, Xu, Jinbin, Noble, James M., Berman, Sarah B., Ikonomovic, Snezana, Nadkarni, Neelesh K., Day, Gregory, Graff-Radford, Neill R., Farlow, Martin, Chhatwal, Jasmeer P., Ikeuchi, Takeshi, Kasuga, Kensaku, Niimi, Yoshiki, Huey, Edward D., Salloway, Stephen, Schofield, Peter R., Brooks, William S., Bechara, Jacob A., Martins, Ralph, Fox, Nick C., Cash, David M., Ryan, Natalie S., Jucker, Mathias, Laske, Christoph, Hofmann, Anna, Kuder-Buletta, Elke, Graber-Sultan, Susanne, Obermueller, Ulrike, Levin, Johannes, Roedenbeck, Yvonne, Vöglein, Jonathan, Lee, Jae-Hong, Roh, Jee Hoon, Sanchez-Valle, Raquel, Rosa-Neto, Pedro, Allegri, Ricardo F., Chrem Mendez, Patricio, Surace, Ezequiel, Vazquez, Silvia, Lopera, Francisco, Leon, Yudy Milena, Ramirez, Laura, Aguillon, David, Levey, Allan I., Johnson, Erik C.B, Seyfried, Nicholas T., Ringman, John, Mori, Hiroshi, Wisch, Julie K, McKay, Nicole S, Boerwinkle, Anna H, Kennedy, James, Flores, Shaney, Handen, Benjamin L, Christian, Bradley T, Head, Elizabeth, Mapstone, Mark, Rafii, Michael S, O’Bryant, Sid E, Price, Julie C, Laymon, Charles M, Krinsky-McHale, Sharon J, Lai, Florence, Rosas, H Diana, Hartley, Sigan L, Lott, Ira T, Tudorascu, Dana, Zammit, Matthew, Brickman, Adam M, Lee, Joseph H, Bird, Thomas D, Cohen, Annie, Chrem, Patricio, Daniels, Alisha, Chhatwal, Jasmeer P, Karch, Celeste M, Day, Gregory S, Llibre-Guerra, Jorge, Ringman, John M, van Dyck, Christopher H, Xiong, Chengjie, Morris, John C, Bateman, Randall J, Benzinger, Tammie L S, Gordon, Brian A, and Ances, Beau M
Published: 2024
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7. Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN)

Author: McKay, Nicole S., Gordon, Brian A., Hornbeck, Russ C., Dincer, Aylin, Flores, Shaney, Keefe, Sarah J., Joseph-Mathurin, Nelly, Jack, Clifford R., Koeppe, Robert, Millar, Peter R., Ances, Beau M., Chen, Charles D., Daniels, Alisha, Hobbs, Diana A., Jackson, Kelley, Koudelis, Deborah, Massoumzadeh, Parinaz, McCullough, Austin, Nickels, Michael L., Rahmani, Farzaneh, Swisher, Laura, Wang, Qing, Allegri, Ricardo F., Berman, Sarah B., Brickman, Adam M., Brooks, William S., Cash, David M., Chhatwal, Jasmeer P., Day, Gregory S., Farlow, Martin R., la Fougère, Christian, Fox, Nick C., Fulham, Michael, Ghetti, Bernardino, Graff-Radford, Neill, Ikeuchi, Takeshi, Klunk, William, Lee, Jae-Hong, Levin, Johannes, Martins, Ralph, Masters, Colin L., McConathy, Jonathan, Mori, Hiroshi, Noble, James M., Reischl, Gerald, Rowe, Christopher, Salloway, Stephen, Sanchez-Valle, Raquel, Schofield, Peter R., Shimada, Hiroyuki, Shoji, Mikio, Su, Yi, Suzuki, Kazushi, Vöglein, Jonathan, Yakushev, Igor, Cruchaga, Carlos, Hassenstab, Jason, Karch, Celeste, McDade, Eric, Perrin, Richard J., Xiong, Chengjie, Morris, John C., Bateman, Randall J., and Benzinger, Tammie L. S.
Published: 2023
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8. Plasma Neurofilament Light for Prediction of Disease Progression in Familial Frontotemporal Lobar Degeneration

Author: Rojas, Julio C, Wang, Ping, Staffaroni, Adam M, Heller, Carolin, Cobigo, Yann, Wolf, Amy, Goh, Sheng-Yang M, Ljubenkov, Peter A, Heuer, Hilary W, Fong, Jamie C, Taylor, Joanne B, Veras, Eliseo, Song, Linan, Jeromin, Andreas, Hanlon, David, Yu, Lili, Khinikar, Arvind, Sivasankaran, Rajeev, Kieloch, Agnieszka, Valentin, Marie-Anne, Karydas, Anna M, Mitic, Laura L, Pearlman, Rodney, Kornak, John, Kramer, Joel H, Miller, Bruce L, Kantarci, Kejal, Knopman, David S, Graff-Radford, Neill, Petrucelli, Leonard, Rademakers, Rosa, Irwin, David J, Grossman, Murray, Ramos, Eliana Marisa, Coppola, Giovanni, Mendez, Mario F, Bordelon, Yvette, Dickerson, Bradford C, Ghoshal, Nupur, Huey, Edward D, Mackenzie, Ian R, Appleby, Brian S, Domoto-Reilly, Kimiko, Hsiung, Ging-Yuek R, Toga, Arthur W, Weintraub, Sandra, Kaufer, Daniel I, Kerwin, Diana, Litvan, Irene, Onyike, Chiadikaobi U, Pantelyat, Alexander, Roberson, Erik D, Tartaglia, Maria C, Foroud, Tatiana, Chen, Weiping, Czerkowicz, Julie, Graham, Danielle L, van Swieten, John C, Borroni, Barbara, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce, Robert, Graff, Caroline, Synofzik, Matthis, Galimberti, Daniela, Rowe, James B, Masellis, Mario, Finger, Elizabeth, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris R, Gerhard, Alexander, Levin, Johannes, Danek, Adrian, Otto, Markus, Sorbi, Sandro, Cash, David M, Convery, Rhian S, Bocchetta, Martina, Foiani, Martha, Greaves, Caroline V, Peakman, Georgia, Russell, Lucy, Swift, Imogen, Todd, Emily, Rohrer, Jonathan D, Boeve, Bradley F, Rosen, Howard J, Boxer, Adam L, and consortia, on behalf of the ALLFTD and GENFI
Subjects: Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Clinical Trials and Supportive Activities, Genetics, Prevention, Genetic Testing, Neurodegenerative, Clinical Research, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Alzheimer's Disease Related Dementias (ADRD), Aging, Brain Disorders, Acquired Cognitive Impairment, Frontotemporal Dementia (FTD), Neurological, Adult, Aged, Aged, 80 and over, Biomarkers, Cohort Studies, Disease Progression, Female, Frontotemporal Lobar Degeneration, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neurofilament Proteins, Predictive Value of Tests, Young Adult, ALLFTD and GENFI consortia, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract: ObjectiveWe 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.MethodsBaseline 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.ResultsIn 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.ConclusionsPlasma 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 informationClinicalTrials.gov Identifier: NCT02372773 and NCT02365922.Classification of evidenceThis study provides Class I evidence that in carriers of FTLD-causing mutations, elevation of plasma NfL predicts short-term risk of clinical progression.
Published: 2021

9. NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data

Author: Jiao, Jieqing, Heeman, Fiona, Dixon, Rachael, Wimberley, Catriona, Lopes Alves, Isadora, Gispert, Juan Domingo, Lammertsma, Adriaan A., van Berckel, Bart N. M., da Costa-Luis, Casper, Markiewicz, Pawel, Cash, David M., Cardoso, M Jorge, Ourselin, Sebastién, Yaqub, Maqsood, and Barkhof, Frederik
Published: 2023
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10. Language impairment in the genetic forms of behavioural variant frontotemporal dementia

Author: Samra, Kiran, MacDougall, Amy M., Bouzigues, Arabella, Bocchetta, Martina, Cash, David M., Greaves, Caroline V., Convery, Rhian S., van Swieten, John C., Seelaar, Harro, Jiskoot, Lize, Moreno, Fermin, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Christopher R., Gerhard, Alexander, Ducharme, Simon, Le Ber, Isabelle, Tiraboschi, Pietro, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Rohrer, Jonathan D., and Russell, Lucy L.
Published: 2023
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11. Pattern and degree of individual brain atrophy predicts dementia onset in dominantly inherited Alzheimer's disease

Author: Keret, Ophir, Staffaroni, Adam M, Ringman, John M, Cobigo, Yann, Goh, Sheng‐Yang M, Wolf, Amy, Allen, Isabel Elaine, Salloway, Stephen, Chhatwal, Jasmeer, Brickman, Adam M, Reyes‐Dumeyer, Dolly, Bateman, Randal J, Benzinger, Tammie LS, Morris, John C, Ances, Beau M, Joseph‐Mathurin, Nelly, Perrin, Richard J, Gordon, Brian A, Levin, Johannes, Vöglein, Jonathan, Jucker, Mathias, la Fougère, Christian, Martins, Ralph N, Sohrabi, Hamid R, Taddei, Kevin, Villemagne, Victor L, Schofield, Peter R, Brooks, William S, Fulham, Michael, Masters, Colin L, Ghetti, Bernardino, Saykin, Andrew J, Jack, Clifford R, Graff‐Radford, Neill R, Weiner, Michael, Cash, David M, Allegri, Ricardo F, Chrem, Patricio, Yi, Su, Miller, Bruce L, Rabinovici, Gil D, Rosen, Howard J, and Network, Dominantly Inherited Alzheimer
Subjects: Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Prevention, Clinical Trials and Supportive Activities, Alzheimer's Disease, Acquired Cognitive Impairment, Neurodegenerative, Dementia, Clinical Research, Brain Disorders, Neurological, Good Health and Well Being, autosomal dominant Alzheimer's disease, brain atrophy, Dominantly Inherited Alzheimer Network, preclinical Alzheimer's disease, Genetics, Biological psychology
Abstract: IntroductionAsymptomatic and mildly symptomatic dominantly inherited Alzheimer's disease mutation carriers (DIAD-MC) are ideal candidates for preventative treatment trials aimed at delaying or preventing dementia onset. Brain atrophy is an early feature of DIAD-MC and could help predict risk for dementia during trial enrollment.MethodsWe created a dementia risk score by entering standardized gray-matter volumes from 231 DIAD-MC into a logistic regression to classify participants with and without dementia. The score's predictive utility was assessed using Cox models and receiver operating curves on a separate group of 65 DIAD-MC followed longitudinally.ResultsOur risk score separated asymptomatic versus demented DIAD-MC with 96.4% (standard error = 0.02) and predicted conversion to dementia at next visit (hazard ratio = 1.32, 95% confidence interval [CI: 1.15, 1.49]) and within 2 years (area under the curve = 90.3%, 95% CI [82.3%-98.2%]) and improved prediction beyond established methods based on familial age of onset.DiscussionIndividualized risk scores based on brain atrophy could be useful for establishing enrollment criteria and stratifying DIAD-MC participants for prevention trials.
Published: 2021

12. Evaluation of novel data-driven metrics of amyloid β deposition for longitudinal PET studies

Author: Bollack, Ariane, Markiewicz, Pawel J, Wink, Alle Meije, Prosser, Lloyd, Lilja, Johan, Bourgeat, Pierrick, Schott, Jonathan M, Coath, William, Collij, Lyduine E, Pemberton, Hugh G, Farrar, Gill, Barkhof, Frederik, and Cash, David M
Published: 2023
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13. Tau accumulation in autosomal dominant Alzheimer’s disease: a longitudinal [18F]flortaucipir study

Author: O’Connor, Antoinette, Cash, David M., Poole, Teresa, Markiewicz, Pawel J., Fraser, Maggie R., Malone, Ian B., Jiao, Jieqing, Weston, Philip S. J., Flores, Shaney, Hornbeck, Russ, McDade, Eric, Schöll, Michael, Gordon, Brian A., Bateman, Randall J., Benzinger, Tammie L. S., and Fox, Nick C.
Published: 2023
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14. Investigating associations between blood metabolites, later life brain imaging measures, and genetic risk for Alzheimer’s disease

Author: Green, Rebecca E., Lord, Jodie, Scelsi, Marzia A., Xu, Jin, Wong, Andrew, Naomi-James, Sarah, Handy, Alex, Gilchrist, Lachlan, Williams, Dylan M., Parker, Thomas D., Lane, Christopher A., Malone, Ian B., Cash, David M., Sudre, Carole H., Coath, William, Thomas, David L., Keuss, Sarah, Dobson, Richard, Legido-Quigley, Cristina, Fox, Nick C., Schott, Jonathan M., Richards, Marcus, and Proitsi, Petroula
Published: 2023
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15. Motor symptoms in genetic frontotemporal dementia: developing a new module for clinical rating scales

Author: Samra, Kiran, MacDougall, Amy M., Peakman, Georgia, Bouzigues, Arabella, Bocchetta, Martina, Cash, David M., Greaves, Caroline V., Convery, Rhian S., van Swieten, John C., Jiskoot, Lize, Seelaar, Harro, Moreno, Fermin, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Masellis, Mario, Tartaglia, Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Chris R., Gerhard, Alexander, Ducharme, Simon, Le Ber, Isabelle, Tiraboschi, Pietro, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Rohrer, Jonathan D., and Russell, Lucy L.
Published: 2023
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16. Prodromal language impairment in genetic frontotemporal dementia within the GENFI cohort

Author: Nelson, Annabel, Thomas, David L., Todd, Emily, Benotmane, Hanya, Nicholas, Jennifer, Shafei, Rachelle, Timberlake, Carolyn, Cope, Thomas, Rittman, Timothy, Benussi, Alberto, Premi, Enrico, Gasparotti, Roberto, Archetti, Silvana, Gazzina, Stefano, Cantoni, Valentina, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Borracci, Vittoria, Rossi, Giacomina, Giaccone, Giorgio, Di Fede, Giuseppe, Caroppo, Paola, Prioni, Sara, Redaelli, Veronica, Tang-Wai, David, Rogaeva, Ekaterina, Castelo-Branco, Miguel, Freedman, Morris, Keren, Ron, Black, Sandra, Mitchell, Sara, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Poos, Jackie, Papma, Janne M., Giannini, Lucia, van Minkelen, Rick, Pijnenburg, Yolande, Nacmias, Benedetta, Ferrari, Camilla, Polito, Cristina, Lombardi, Gemma, Bessi, Valentina, Veldsman, Michele, Andersson, Christin, Thonberg, Hakan, Öijerstedt, Linn, Jelic, Vesna, Thompson, Paul, Langheinrich, Tobias, Lladó, Albert, Antonell, Anna, Olives, Jaume, Balasa, Mircea, Bargalló, Nuria, Borrego-Ecija, Sergi, Verdelho, Ana, Maruta, Carolina, Ferreira, Catarina B., Miltenberger, Gabriel, do Couto, Frederico Simões, Gabilondo, Alazne, Gorostidi, Ana, Villanua, Jorge, Cañada, Marta, Tainta, Mikel, Zulaica, Miren, Barandiaran, Myriam, Alves, Patricia, Bender, Benjamin, Wilke, Carlo, Graf, Lisa, Vogels, Annick, Vandenbulcke, Mathieu, Van Damme, Philip, Bruffaerts, Rose, Poesen, Koen, Rosa-Neto, Pedro, Gauthier, Serge, Camuzat, Agnès, Brice, Alexis, Bertrand, Anne, Funkiewiez, Aurélie, Rinaldi, Daisy, Saracino, Dario, Colliot, Olivier, Sayah, Sabrina, Prix, Catharina, Wlasich, Elisabeth, Wagemann, Olivia, Loosli, Sandra, Schönecker, Sonja, Hoegen, Tobias, Lombardi, Jolina, Anderl-Straub, Sarah, Rollin, Adeline, Kuchcinski, Gregory, Bertoux, Maxime, Lebouvier, Thibaud, Deramecourt, Vincent, Santiago, Beatriz, Duro, Diana, Leitão, Maria João, Almeida, Maria Rosario, Tábuas-Pereira, Miguel, Afonso, Sónia, Samra, Kiran, MacDougall, Amy M., Bouzigues, Arabella, Bocchetta, Martina, Cash, David M., Greaves, Caroline V., Convery, Rhian S., van Swieten, John C., Jiskoot, Lize, Seelaar, Harro, Moreno, Fermin, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Chris R., Gerhard, Alex, Ducharme, Simon, Le Ber, Isabelle, Tiraboschi, Pietro, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Rohrer, Jonathan D., and Russell, Lucy L.
Published: 2023
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17. Early neurotransmitters changes in prodromal frontotemporal dementia: A GENFI study

Author: Esteve, Aitana Sogorb, Heller, Carolin, Greaves, Caroline V., Zetterberg, Henrik, Swift, Imogen J., Samra, Kiran, Shafei, Rachelle, Timberlake, Carolyn, Cope, Thomas, Rittman, Timothy, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Borracci, Vittoria, Rossi, Giacomina, Giaccone, Giorgio, Di Fede, Giuseppe, Caroppo, Paola, Tiraboschi, Pietro, Prioni, Sara, Redaelli, Veronica, Tang-Wai, David, Rogaeva, Ekaterina, Castelo-Branco, Miguel, Freedman, Morris, Keren, Ron, Black, Sandra, Mitchell, Sara, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Poos, Jackie, Papma, Janne M., Giannini, Lucia, van Minkelen, Rick, Pijnenburg, Yolande, Nacmias, Benedetta, Ferrari, Camilla, Polito, Cristina, Lombardi, Gemma, Bessi, Valentina, Veldsman, Michele, Andersson, Christin, Thonberg, Hakan, Öijerstedt, Linn, Jelic, Vesna, Thompson, Paul, Langheinrich, Tobias, Lladó, Albert, Antonell, Anna, Olives, Jaume, Balasa, Mircea, Bargalló, Nuria, Borrego-Ecija, Sergi, Verdelho, Ana, Maruta, Carolina, Ferreira, Catarina B., Miltenberger, Gabriel, do Couto, Frederico Simões, Gabilondo, Alazne, Gorostidi, Ana, Villanua, Jorge, Cañada, Marta, Tainta, Mikel, Zulaica, Miren, Barandiaran, Myriam, Alves, Patricia, Bender, Benjamin, Wilke, Carlo, Graf, Lisa, Vogels, Annick, Vandenbulcke, Mathieu, Van Damme, Philip, Bruffaerts, Rose, Poesen, Koen, Rosa-Neto, Pedro, Gauthier, Serge, Camuzat, Agnès, Brice, Alexis, Bertrand, Anne, Funkiewiez, Aurélie, Rinaldi, Daisy, Saracino, Dario, Colliot, Olivier, Sayah, Sabrina, Prix, Catharina, Wlasich, Elisabeth, Wagemann, Olivia, Loosli, Sandra, Schönecker, Sonja, Hoegen, Tobias, Lombardi, Jolina, Anderl-Straub, Sarah, Rollin, Adeline, Kuchcinski, Gregory, Bertoux, Maxime, Lebouvier, Thibaud, Deramecourt, Vincent, Santiago, Beatriz, Duro, Diana, Leitão, Maria João, Almeida, Maria Rosario, Tábuas-Pereira, Miguel, Afonso, Sónia, Premi, Enrico, Pengo, Marta, Mattioli, Irene, Cantoni, Valentina, Dukart, Juergen, Gasparotti, Roberto, Buratti, Emanuele, Padovani, Alessandro, Bocchetta, Martina, Todd, Emily G., Bouzigues, Arabella, Cash, David M., Convery, Rhian S., Russell, Lucy L., Foster, Phoebe, Thomas, David L., van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Galimberti, Daniela, Sanchez-Valle, Raquel, Laforce, Robert, Jr, Moreno, Fermin, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Tsvetanov, Kamen A., Vandenberghe, Rik, Finger, Elizabeth, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris R., Ducharme, Simon, Gerhard, Alexander, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Le Ber, Isabelle, Pasquier, Florence, Rohrer, Jonathan D., and Borroni, Barbara
Published: 2023
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18. The Benson Complex Figure Test detects deficits in visuoconstruction and visual memory in symptomatic familial frontotemporal dementia: A GENFI study

Author: Jiskoot, Lize C., Russell, Lucy L., Peakman, Georgia, Convery, Rhian S., Greaves, Caroline V., Bocchetta, Martina, Poos, Jackie M., Seelaar, Harro, Giannini, Lucia A.A., van Swieten, John C., van Minkelen, Rick, Pijnenburg, Yolande A.L., Rowe, James B., Borroni, Barbara, Galimberti, Daniela, Masellis, Mario, Tartaglia, Carmela, Finger, Elizabeth, Butler, Chris R., Graff, Caroline, Laforce, Robert, Jr, Sanchez-Valle, Raquel, de Mendonça, Alexandre, Moreno, Fermin, Synofzik, Matthis, Vandenberghe, Rik, Ducharme, Simon, le Ber, Isabelle, Levin, Johannes, Otto, Markus, Pasquier, Florence, Santana, Isabel, Cash, David M., Thomas, David, and Rohrer, Jonathan D.
Published: 2023
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19. Adulthood cognitive trajectories over 26 years and brain health at 70 years of age: findings from the 1946 British Birth Cohort

Author: James, Sarah-Naomi, Nicholas, Jennifer M., Lu, Kirsty, Keshavan, Ashvini, Lane, Christopher A., Parker, Thomas, Buchanan, Sarah M., Keuss, Sarah E., Murray-Smith, Heidi, Wong, Andrew, Cash, David M., Malone, Ian B., Barnes, Josephine, Sudre, Carole H., Coath, William, Modat, Marc, Ourselin, Sebastien, Crutch, Sebastian J., Kuh, Diana, Fox, Nick C., Schott, Jonathan M., and Richards, Marcus
Published: 2023
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20. Comparing cortical signatures of atrophy between late-onset and autosomal dominant Alzheimer disease

Author: Dincer, Aylin, Gordon, Brian A, Hari-Raj, Amrita, Keefe, Sarah J, Flores, Shaney, McKay, Nicole S, Paulick, Angela M, Lewis, Kristine E Shady, Feldman, Rebecca L, Hornbeck, Russ C, Allegri, Ricardo, Ances, Beau M, Berman, Sarah B, Brickman, Adam M, Brooks, William S, Cash, David M, Chhatwal, Jasmeer P, Farlow, Martin R, la Fougère, Christian, Fox, Nick C, Fulham, Michael J, Jack, Clifford R, Joseph-Mathurin, Nelly, Karch, Celeste M, Lee, Athene, Levin, Johannes, Masters, Colin L, McDade, Eric M, Oh, Hwamee, Perrin, Richard J, Raji, Cyrus, Salloway, Stephen P, Schofield, Peter R, Su, Yi, Villemagne, Victor L, Wang, Qing, Weiner, Michael W, Xiong, Chengjie, Yakushev, Igor, Morris, John C, Bateman, Randall J, Benzinger, Tammie LS, and DIAN, for the Dominantly Inherited Alzheimer Network
Subjects: Neurodegenerative, Dementia, Clinical Research, Brain Disorders, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurosciences, Aging, Acquired Cognitive Impairment, Alzheimer's Disease, 2.1 Biological and endogenous factors, Aetiology, Neurological, Alzheimer Disease, Amyloid beta-Peptides, Atrophy, Hippocampus, Humans, Magnetic Resonance Imaging, Positron-Emission Tomography, Alzheimer disease, Autosomal dominant Alzheimer disease, Preclinical, Cortical signature, Amyloid, Cortical thickness, Dominantly Inherited Alzheimer Network DIAN
Abstract: Defining a signature of cortical regions of interest preferentially affected by Alzheimer disease (AD) pathology may offer improved sensitivity to early AD compared to hippocampal volume or mesial temporal lobe alone. Since late-onset Alzheimer disease (LOAD) participants tend to have age-related comorbidities, the younger-onset age in autosomal dominant AD (ADAD) may provide a more idealized model of cortical thinning in AD. To test this, the goals of this study were to compare the degree of overlap between the ADAD and LOAD cortical thinning maps and to evaluate the ability of the ADAD cortical signature regions to predict early pathological changes in cognitively normal individuals. We defined and analyzed the LOAD cortical maps of cortical thickness in 588 participants from the Knight Alzheimer Disease Research Center (Knight ADRC) and the ADAD cortical maps in 269 participants from the Dominantly Inherited Alzheimer Network (DIAN) observational study. Both cohorts were divided into three groups: cognitively normal controls (nADRC = 381; nDIAN = 145), preclinical (nADRC = 153; nDIAN = 76), and cognitively impaired (nADRC = 54; nDIAN = 48). Both cohorts underwent clinical assessments, 3T MRI, and amyloid PET imaging with either 11C-Pittsburgh compound B or 18F-florbetapir. To generate cortical signature maps of cortical thickness, we performed a vertex-wise analysis between the cognitively normal controls and impaired groups within each cohort using six increasingly conservative statistical thresholds to determine significance. The optimal cortical map among the six statistical thresholds was determined from a receiver operating characteristic analysis testing the performance of each map in discriminating between the cognitively normal controls and preclinical groups. We then performed within-cohort and cross-cohort (e.g. ADAD maps evaluated in the Knight ADRC cohort) analyses to examine the sensitivity of the optimal cortical signature maps to the amyloid levels using only the cognitively normal individuals (cognitively normal controls and preclinical groups) in comparison to hippocampal volume. We found the optimal cortical signature maps were sensitive to early increases in amyloid for the asymptomatic individuals within their respective cohorts and were significant beyond the inclusion of hippocampus volume, but the cortical signature maps performed poorly when analyzing across cohorts. These results suggest the cortical signature maps are a useful MRI biomarker of early AD-related neurodegeneration in preclinical individuals and the pattern of decline differs between LOAD and ADAD.
Published: 2020

21. Familial British dementia: a clinical and multi-modal imaging case study

Author: Harris, Matthew J., Lane, Christopher A., Coath, William, Malone, Ian B., Cash, David M., Barnes, Josephine, Barkhof, Frederik, and Schott, Jonathan M.
Published: 2022
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22. Life course, genetic, and neuropathological associations with brain age in the 1946 British Birth Cohort: a population-based study

Author: Wagen, Aaron Z, Coath, William, Keshavan, Ashvini, James, Sarah-Naomi, Parker, Thomas D, Lane, Christopher A, Buchanan, Sarah M, Keuss, Sarah E, Storey, Mathew, Lu, Kirsty, Macdougall, Amy, Murray-Smith, Heidi, Freiberger, Tamar, Cash, David M, Malone, Ian B, Barnes, Josephine, Sudre, Carole H, Wong, Andrew, Pavisic, Ivanna M, Street, Rebecca, Crutch, Sebastian J, Escott-Price, Valentina, Leonenko, Ganna, Zetterberg, Henrik, Wellington, Henrietta, Heslegrave, Amanda, Barkhof, Frederik, Richards, Marcus, Fox, Nick C, Cole, James H, and Schott, Jonathan M
Published: 2022
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23. Proteomic analysis reveals distinct cerebrospinal fluid signatures across genetic frontotemporal dementia subtypes.

Author: Sogorb-Esteve, Aitana, Weiner, Sophia, Simrén, Joel, Swift, Imogen J., Bocchetta, Martina, Todd, Emily G., Cash, David M., Bouzigues, Arabella, Russell, Lucy L., Foster, Phoebe H., Ferry-Bolder, Eve, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Galimberti, Daniela, Vandenberghe, Rik, and de Mendonça, Alexandre
Subjects: FRONTOTEMPORAL dementia, ALZHEIMER'S patients, CARRIER proteins, CEREBROSPINAL fluid, GENE regulatory networks
Abstract: We used an untargeted mass spectrometric approach, tandem mass tag proteomics, for the identification of proteomic signatures in genetic frontotemporal dementia (FTD). A total of 238 cerebrospinal fluid (CSF) samples from the Genetic FTD Initiative were analyzed, including samples from 107 presymptomatic (44 C9orf72, 38 GRN, and 25 MAPT) and 55 symptomatic (27 C9orf72, 17 GRN, and 11 MAPT) mutation carriers as well as 76 mutation-negative controls ("noncarriers"). We found shared and distinct proteomic alterations in each genetic form of FTD. Among the proteins significantly altered in symptomatic mutation carriers compared with noncarriers, we found that a set of proteins including neuronal pentraxin 2 and fatty acid binding protein 3 changed across all three genetic forms of FTD and patients with Alzheimer's disease from previously published datasets. We observed differential changes in lysosomal proteins among symptomatic mutation carriers with marked abundance decreases in MAPT carriers but not other carriers. Further, we identified mutation-associated proteomic changes already evident in presymptomatic mutation carriers. Weighted gene coexpression network analysis combined with gene ontology annotation revealed clusters of proteins enriched in neurodegeneration and glial responses as well as synapse- or lysosome-related proteins indicating that these are the central biological processes affected in genetic FTD. These clusters correlated with measures of disease severity and were associated with cognitive decline. This study revealed distinct proteomic changes in the CSF of patients with genetic FTD, providing insights into the pathological processes involved in the disease. In addition, we identified proteins that warrant further exploration as diagnostic and prognostic biomarker candidates. Editor's summary: Familial frontotemporal dementia (FTD) is caused by mutations in risk genes, most commonly C9orf72, MAPT, or GRN. Here, Sogorb-Esteve et al. used untargeted mass spectrometry of cerebrospinal fluid samples from presymptomatic and symptomatic carriers of these three risk genes to characterize distinct and shared proteomic alterations. Weighted gene coexpression network analysis allowed grouping FTD-dysregulated proteins into modules with high coexpression patterns, highlighting potentially dysregulated biological pathways, such as "core markers," "synapse," and "actin binding." The expression of a subset of these modules was correlated with clinical scores. These results provide a useful resource for FTD research and disease marker development. —Daniela Neuhofer [ABSTRACT FROM AUTHOR]
Published: 2025
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24. Structural brain splitting is a hallmark of Granulin-related frontotemporal dementia

Author: Afonso, Sónia, Almeida, Maria Rosario, Andersson, Christin, Antonell, Anna, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Borrego-Ecija, Sergi, Bouzigues, Arabella, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, Fede, Giuseppe Di, Díez, Alina, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gauthier, Serge, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans-Otto, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Lombardi, Jolina, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Panman, Jessica, Papma, Janne M., Pijnenburg, Yolande, Polito, Cristina, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sayah, Sabrina, Scarpini, Elio, Schönecker, Sonja, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thomas, David L, Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Gazzina, Stefano, Grassi, Mario, Premi, Enrico, Alberici, Antonella, Benussi, Alberto, Archetti, Silvana, Gasparotti, Roberto, Bocchetta, Martina, Cash, David M., Todd, Emily G., Peakman, Georgia, Convery, Rhian S., van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Sanchez-Valle, Raquel, Moreno, Fermin, Laforce, Robert, Jr, Graff, Caroline, Synofzik, Matthis, Galimberti, Daniela, Rowe, James B., Masellis, Mario, Tartaglia, Maria Carmela, Finger, Elizabeth, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Butler, Chris R., Santana, Isabel, Gerhard, Alexander, Ber, Isabelle Le, Pasquier, Florence, Ducharme, Simon, Levin, Johannes, Danek, Adrian, Sorbi, Sandro, Otto, Markus, Rohrer, Jonathan D., and Borroni, Barbara
Published: 2022
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25. Examining empathy deficits across familial forms of frontotemporal dementia within the GENFI cohort

Author: Afonso, Sónia, Almeida, Maria Rosario, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Borrego-Ecija, Sergi, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Cash, David, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, de Arriba, María, Di Fede, Giuseppe, Díez, Alina, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans-Otto, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, Leitão, Maria João, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Padovani, Alessandro, Panman, Jessica, Papma, Janne M., Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sayah, Sabrina, Scarpini, Elio, Schönecker, Sonja, Seelaar, Harro, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thomas, David L., Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Todd, Emily, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Foster, Phoebe H., Russell, Lucy L., Peakman, Georgia, Convery, Rhian S., Bouzigues, Arabella, Greaves, Caroline V., Bocchetta, Martina, Cash, David M., van Swieten, John C., Jiskoot, Lize C., Moreno, Fermin, Sanchez-Valle, Raquel, Laforce, Robert, Graff, Caroline, Masellis, Mario, Tartaglia, Carmela, Rowe, James B., Borroni, Barbara, Finger, Elizabeth, Synofzik, Matthis, Galimberti, Daniela, Vandenberghe, Rik, de Mendonça, Alexandre, Butler, Chris R., Gerhard, Alex, Ducharme, Simon, Le Ber, Isabelle, Tagliavini, Fabrizio, Santana, Isabel, Pasquier, Florence, Levin, Johannes, Danek, Adrian, Otto, Markus, Sorbi, Sandro, and Rohrer, Jonathan D.
Published: 2022
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26. Sex-related differences in whole brain volumes at age 70 in association with hyperglycemia during adult life

Author: Fatih, Nasrtullah, Chaturvedi, Nish, Lane, Christopher A, Parker, Thomas D., Lu, Kirsty, Cash, David M., Malone, Ian B., Silverwood, Richard, Wong, Andrew, Barnes, Josephine, Sudre, Carole H., Richards, Marcus, Fox, Nick C., Schott, Jonathan M., Hughes, Alun, and James, Sarah-Naomi
Published: 2022
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27. Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference.

Author: Young, Alexandra L, Marinescu, Razvan V, Oxtoby, Neil P, Bocchetta, Martina, Yong, Keir, Firth, Nicholas C, Cash, David M, Thomas, David L, Dick, Katrina M, Cardoso, Jorge, van Swieten, John, Borroni, Barbara, Galimberti, Daniela, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B, Graff, Caroline, Tagliavini, Fabrizio, Frisoni, Giovanni B, Laforce, Robert, Finger, Elizabeth, de Mendonça, Alexandre, Sorbi, Sandro, Warren, Jason D, Crutch, Sebastian, Fox, Nick C, Ourselin, Sebastien, Schott, Jonathan M, Rohrer, Jonathan D, Alexander, Daniel C, Genetic FTD Initiative (GENFI), and Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Subjects: Genetic FTD Initiative, Alzheimer’s Disease Neuroimaging Initiative, Humans, Alzheimer Disease, Neurodegenerative Diseases, Reproducibility of Results, Genotype, Phenotype, Models, Neurological, Time Factors, Frontotemporal Dementia, Models, Neurological, Alzheimer's Disease, Brain Disorders, Genetics, Aging, Neurodegenerative, Acquired Cognitive Impairment, Dementia, Alzheimer's Disease including Alzheimer's Disease Related Dementias, Neurosciences, Rare Diseases, 2.1 Biological and endogenous factors, MD Multidisciplinary
Abstract: The heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically include multiple phenotypes on distinct disease trajectories. Here we introduce a machine-learning technique-Subtype and Stage Inference (SuStaIn)-able to uncover data-driven disease phenotypes with distinct temporal progression patterns, from widely available cross-sectional patient studies. Results from imaging studies in two neurodegenerative diseases reveal subgroups and their distinct trajectories of regional neurodegeneration. In genetic frontotemporal dementia, SuStaIn identifies genotypes from imaging alone, validating its ability to identify subtypes; further the technique reveals within-genotype heterogeneity. In Alzheimer's disease, SuStaIn uncovers three subtypes, uniquely characterising their temporal complexity. SuStaIn provides fine-grained patient stratification, which substantially enhances the ability to predict conversion between diagnostic categories over standard models that ignore subtype (p = 7.18 × 10-4) or temporal stage (p = 3.96 × 10-5). SuStaIn offers new promise for enabling disease subtype discovery and precision medicine.
Published: 2018

28. Poly(GP), neurofilament and grey matter deficits in C9orf72 expansion carriers

Author: Meeter, Lieke HH, Gendron, Tania F, Sias, Ana C, Jiskoot, Lize C, Russo, Silvia P, Kaat, Laura Donker, Papma, Janne M, Panman, Jessica L, van der Ende, Emma L, Dopper, Elise G, Franzen, Sanne, Graff, Caroline, Boxer, Adam L, Rosen, Howard J, Sanchez‐Valle, Raquel, Galimberti, Daniela, Pijnenburg, Yolande AL, Benussi, Luisa, Ghidoni, Roberta, Borroni, Barbara, Laforce, Robert, del Campo, Marta, Teunissen, Charlotte E, van Minkelen, Rick, Rojas, Julio C, Coppola, Giovanni, Geschwind, Dan H, Rademakers, Rosa, Karydas, Anna M, Öijerstedt, Linn, Scarpini, Elio, Binetti, Giuliano, Padovani, Alessandro, Cash, David M, Dick, Katrina M, Bocchetta, Martina, Miller, Bruce L, Rohrer, Jonathan D, Petrucelli, Leonard, van Swieten, John C, and Lee, Suzee E
Subjects: Biomedical and Clinical Sciences, Neurosciences, Neurodegenerative, Brain Disorders, Frontotemporal Dementia (FTD), Rare Diseases, Acquired Cognitive Impairment, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), ALS, Alzheimer's Disease Related Dementias (ADRD), Dementia, Clinical Research, 2.1 Biological and endogenous factors, Neurological, Clinical Sciences, Clinical and health psychology
Abstract: ObjectiveTo evaluate poly(GP), a dipeptide repeat protein, and neurofilament light chain (NfL) as biomarkers in presymptomatic C9orf72 repeat expansion carriers and patients with C9orf72-associated frontotemporal dementia. Additionally, to investigate the relationship of poly(GP) with indicators of neurodegeneration as measured by NfL and grey matter volume.MethodsWe measured poly(GP) and NfL levels in cerebrospinal fluid (CSF) from 25 presymptomatic C9orf72 expansion carriers, 64 symptomatic expansion carriers with dementia, and 12 noncarriers. We explored associations with grey matter volumes using region of interest and voxel-wise analyses.ResultsPoly(GP) was present in C9orf72 expansion carriers and absent in noncarriers (specificity 100%, sensitivity 97%). Presymptomatic carriers had lower poly(GP) levels than symptomatic carriers. NfL levels were higher in symptomatic carriers than in presymptomatic carriers and healthy noncarriers. NfL was highest in patients with concomitant motor neuron disease, and correlated with disease severity and survival. Associations between poly(GP) levels and small grey matter regions emerged but did not survive multiple comparison correction, while higher NfL levels were associated with atrophy in frontotemporoparietal cortices and the thalamus.InterpretationThis study of C9orf72 expansion carriers reveals that: (1) poly(GP) levels discriminate presymptomatic and symptomatic expansion carriers from noncarriers, but are not associated with indicators of neurodegeneration; and (2) NfL levels are associated with grey matter atrophy, disease severity, and shorter survival. Together, poly(GP) and NfL show promise as complementary biomarkers for clinical trials for C9orf72-associated frontotemporal dementia, with poly(GP) as a potential marker for target engagement and NfL as a marker of disease activity and progression.
Published: 2018

29. The Open-Access European Prevention of Alzheimer’s Dementia (EPAD) MRI dataset and processing workflow

Author: Lorenzini, Luigi, Ingala, Silvia, Wink, Alle Meije, Kuijer, Joost P.A., Wottschel, Viktor, Dijsselhof, Mathijs, Sudre, Carole H., Haller, Sven, Molinuevo, José Luis, Gispert, Juan Domingo, Cash, David M., Thomas, David L., Vos, Sjoerd B., Prados, Ferran, Petr, Jan, Wolz, Robin, Palombit, Alessandro, Schwarz, Adam J., Chételat, Gaël, Payoux, Pierre, Di Perri, Carol, Wardlaw, Joanna M., Frisoni, Giovanni B., Foley, Christopher, Fox, Nick C., Ritchie, Craig, Pernet, Cyril, Waldman, Adam, Barkhof, Frederik, and Mutsaerts, Henk J.M.M.
Published: 2022
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30. In vivo hypothalamic regional volumetry across the frontotemporal dementia spectrum

Author: Shapiro, Noah L., Todd, Emily G., Billot, Benjamin, Cash, David M., Iglesias, Juan Eugenio, Warren, Jason D., Rohrer, Jonathan D., and Bocchetta, Martina
Published: 2022
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31. Predicting Cognitive Decline in Nondemented Elders Using Baseline Metrics of AD Pathologies, Cerebrovascular Disease, and Neurodegeneration

Author: Prosser, Lloyd, MacDougall, Amy, Sudre, Carole H., Manning, Emily N., Malone, Ian B., Walsh, Phoebe, Goodkin, Olivia, Pemberton, Hugh, Barkhof, Frederik, Biessels, Geert Jan, Cash, David M., and Barnes, Josephine
Published: 2022
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32. Spatial patterns of neuroimaging biomarker change in individuals from families with autosomal dominant Alzheimer's disease: a longitudinal study

Author: Gordon, Brian A, Blazey, Tyler M, Su, Yi, Hari-Raj, Amrita, Dincer, Aylin, Flores, Shaney, Christensen, Jon, McDade, Eric, Wang, Guoqiao, Xiong, Chengjie, Cairns, Nigel J, Hassenstab, Jason, Marcus, Daniel S, Fagan, Anne M, Jack, Clifford R, Hornbeck, Russ C, Paumier, Katrina L, Ances, Beau M, Berman, Sarah B, Brickman, Adam M, Cash, David M, Chhatwal, Jasmeer P, Correia, Stephen, Förster, Stefan, Fox, Nick C, Graff-Radford, Neill R, la Fougère, Christian, Levin, Johannes, Masters, Colin L, Rossor, Martin N, Salloway, Stephen, Saykin, Andrew J, Schofield, Peter R, Thompson, Paul M, Weiner, Michael M, Holtzman, David M, Raichle, Marcus E, Morris, John C, Bateman, Randall J, and Benzinger, Tammie LS
Subjects: Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurosciences, Acquired Cognitive Impairment, Neurodegenerative, Clinical Research, Dementia, Alzheimer's Disease, Brain Disorders, Biomedical Imaging, Aging, Rare Diseases, Aetiology, Detection, screening and diagnosis, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies, Neurological, Adult, Alzheimer Disease, Amyloid beta-Protein Precursor, Aniline Compounds, Brain, Brain Mapping, Family Health, Female, Fluorodeoxyglucose F18, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Positron-Emission Tomography, Presenilin-1, Presenilin-2, Statistics, Nonparametric, Thiazoles, Clinical Sciences, Neurology & Neurosurgery
Abstract: BackgroundModels of Alzheimer's disease propose a sequence of amyloid β (Aβ) accumulation, hypometabolism, and structural decline that precedes the onset of clinical dementia. These pathological features evolve both temporally and spatially in the brain. In this study, we aimed to characterise where in the brain and when in the course of the disease neuroimaging biomarkers become abnormal.MethodsBetween Jan 1, 2009, and Dec 31, 2015, we analysed data from mutation non-carriers, asymptomatic carriers, and symptomatic carriers from families carrying gene mutations in presenilin 1 (PSEN1), presenilin 2 (PSEN2), or amyloid precursor protein (APP) enrolled in the Dominantly Inherited Alzheimer's Network. We analysed 11C-Pittsburgh Compound B (11C-PiB) PET, 18F-Fluorodeoxyglucose (18F-FDG) PET, and structural MRI data using regions of interest to assess change throughout the brain. We estimated rates of biomarker change as a function of estimated years to symptom onset at baseline using linear mixed-effects models and determined the earliest point at which biomarker trajectories differed between mutation carriers and non-carriers. This study is registered at ClinicalTrials.gov (number NCT00869817) FINDINGS: 11C-PiB PET was available for 346 individuals (162 with longitudinal imaging), 18F-FDG PET was available for 352 individuals (175 with longitudinal imaging), and MRI data were available for 377 individuals (201 with longitudinal imaging). We found a sequence to pathological changes, with rates of Aβ deposition in mutation carriers being significantly different from those in non-carriers first (across regions that showed a significant difference, at a mean of 18·9 years [SD 3·3] before expected onset), followed by hypometabolism (14·1 years [5·1] before expected onset), and lastly structural decline (4·7 years [4·2] before expected onset). This biomarker ordering was preserved in most, but not all, regions. The temporal emergence within a biomarker varied across the brain, with the precuneus being the first cortical region for each method to show divergence between groups (22·2 years before expected onset for Aβ accumulation, 18·8 years before expected onset for hypometabolism, and 13·0 years before expected onset for cortical thinning).InterpretationMutation carriers had elevations in Aβ deposition, reduced glucose metabolism, and cortical thinning compared with non-carriers which preceded the expected onset of dementia. Accrual of these pathologies varied throughout the brain, suggesting differential regional and temporal vulnerabilities to Aβ, metabolic decline, and structural atrophy, which should be taken into account when using biomarkers in a clinical setting as well as designing and evaluating clinical trials.FundingUS National Institutes of Health, the German Center for Neurodegenerative Diseases, and the Medical Research Council Dementias Platform UK.
Published: 2018

33. Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study

Author: Kinnunen, Kirsi M, Cash, David M, Poole, Teresa, Frost, Chris, Benzinger, Tammie LS, Ahsan, R Laila, Leung, Kelvin K, Cardoso, M Jorge, Modat, Marc, Malone, Ian B, Morris, John C, Bateman, Randall J, Marcus, Daniel S, Goate, Alison, Salloway, Stephen P, Correia, Stephen, Sperling, Reisa A, Chhatwal, Jasmeer P, Mayeux, Richard P, Brickman, Adam M, Martins, Ralph N, Farlow, Martin R, Ghetti, Bernardino, Saykin, Andrew J, Jack, Clifford R, Schofield, Peter R, McDade, Eric, Weiner, Michael W, Ringman, John M, Thompson, Paul M, Masters, Colin L, Rowe, Christopher C, Rossor, Martin N, Ourselin, Sebastien, Fox, Nick C, and Network, Dominantly Inherited Alzheimer
Subjects: Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Clinical Research, Acquired Cognitive Impairment, Alzheimer's Disease, Bioengineering, Biomedical Imaging, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Neurodegenerative, Brain Disorders, Neurological, Adult, Alzheimer Disease, Apolipoproteins E, Atrophy, Brain, Female, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Psychiatric Status Rating Scales, Statistics, Nonparametric, Time Factors, Longitudinal, Alzheimer's disease, Autosomal dominant, Neuroimaging, MRI, Boundary Shift Integral, Nonlinear modeling, Change-point, Dominantly Inherited Alzheimer Network, Geriatrics, Clinical sciences, Biological psychology
Abstract: IntroductionIdentifying at what point atrophy rates first change in Alzheimer's disease is important for informing design of presymptomatic trials.MethodsSerial T1-weighted magnetic resonance imaging scans of 94 participants (28 noncarriers, 66 carriers) from the Dominantly Inherited Alzheimer Network were used to measure brain, ventricular, and hippocampal atrophy rates. For each structure, nonlinear mixed-effects models estimated the change-points when atrophy rates deviate from normal and the rates of change before and after this point.ResultsAtrophy increased after the change-point, which occurred 1-1.5 years (assuming a single step change in atrophy rate) or 3-8 years (assuming gradual acceleration of atrophy) before expected symptom onset. At expected symptom onset, estimated atrophy rates were at least 3.6 times than those before the change-point.DiscussionAtrophy rates are pathologically increased up to seven years before "expected onset". During this period, atrophy rates may be useful for inclusion and tracking of disease progression.
Published: 2018

34. Dissociable effects of APOE ε4 and β-amyloid pathology on visual working memory

Author: Lu, Kirsty, Nicholas, Jennifer M., Pertzov, Yoni, Grogan, John, Husain, Masud, Pavisic, Ivanna M., James, Sarah-Naomi, Parker, Thomas D., Lane, Christopher A., Keshavan, Ashvini, Keuss, Sarah E., Buchanan, Sarah M., Murray-Smith, Heidi, Cash, David M., Malone, Ian B., Sudre, Carole H., Coath, William, Wong, Andrew, Henley, Susie M. D., Fox, Nick C., Richards, Marcus, Schott, Jonathan M., and Crutch, Sebastian J.
Published: 2021
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35. Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging

Author: Markiewicz, Pawel J., Matthews, Julian C., Ashburner, John, Cash, David M., Thomas, David L., De Vita, Enrico, Barnes, Anna, Cardoso, M. Jorge, Modat, Marc, Brown, Richard, Thielemans, Kris, da Costa-Luis, Casper, Lopes Alves, Isadora, Gispert, Juan Domingo, Schmidt, Mark E., Marsden, Paul, Hammers, Alexander, Ourselin, Sebastien, and Barkhof, Frederik
Published: 2021
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36. Differential early subcortical involvement in genetic FTD within the GENFI cohort

Author: Afonso, Sónia, Rosario Almeida, Maria, Anderl-Straub, Sarah, Andersson, Christin, Antonell, Anna, Archetti, Silvana, Arighi, Andrea, Balasa, Mircea, Barandiaran, Myriam, Bargalló, Nuria, Bartha, Robart, Bender, Benjamin, Benussi, Alberto, Bertoux, Maxime, Bertrand, Anne, Bessi, Valentina, Black, Sandra, Borrego-Ecija, Sergi, Bras, Jose, Brice, Alexis, Bruffaerts, Rose, Camuzat, Agnès, Cañada, Marta, Cantoni, Valentina, Caroppo, Paola, Castelo-Branco, Miguel, Colliot, Olivier, Cope, Thomas, Deramecourt, Vincent, de Arriba, María, Di Fede, Giuseppe, Díez, Alina, Duro, Diana, Fenoglio, Chiara, Ferrari, Camilla, Ferreira, Catarina B., Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Funkiewiez, Aurélie, Gabilondo, Alazne, Gasparotti, Roberto, Gauthier, Serge, Gazzina, Stefano, Giaccone, Giorgio, Gorostidi, Ana, Greaves, Caroline, Guerreiro, Rita, Heller, Carolin, Hoegen, Tobias, Indakoetxea, Begoña, Jelic, Vesna, Karnath, Hans-Otto, Keren, Ron, Kuchcinski, Gregory, Langheinrich, Tobias, Lebouvier, Thibaud, João Leitão, Maria, Lladó, Albert, Lombardi, Gemma, Loosli, Sandra, Maruta, Carolina, Mead, Simon, Meeter, Lieke, Miltenberger, Gabriel, van Minkelen, Rick, Mitchell, Sara, Moore, Katrina, Nacmias, Benedetta, Nelson, Annabel, Nicholas, Jennifer, Öijerstedt, Linn, Olives, Jaume, Ourselin, Sebastien, Padovani, Alessandro, Panman, Jessica, Papma, Janne M., Pijnenburg, Yolande, Polito, Cristina, Premi, Enrico, Prioni, Sara, Prix, Catharina, Rademakers, Rosa, Redaelli, Veronica, Rinaldi, Daisy, Rittman, Tim, Rogaeva, Ekaterina, Rollin, Adeline, Rosa-Neto, Pedro, Rossi, Giacomina, Rossor, Martin, Santiago, Beatriz, Saracino, Dario, Sayah, Sabrina, Scarpini, Elio, Schönecker, Sonja, Semler, Elisa, Shafei, Rachelle, Shoesmith, Christen, Swift, Imogen, Tábuas-Pereira, Miguel, Tainta, Mikel, Taipa, Ricardo, Tang-Wai, David, Thompson, Paul, Thonberg, Hakan, Timberlake, Carolyn, Tiraboschi, Pietro, Van Damme, Philip, Vandenbulcke, Mathieu, Veldsman, Michele, Verdelho, Ana, Villanua, Jorge, Warren, Jason, Wilke, Carlo, Woollacott, Ione, Wlasich, Elisabeth, Zetterberg, Henrik, Zulaica, Miren, Bocchetta, Martina, Todd, Emily G., Peakman, Georgia, Cash, David M., Convery, Rhian S., Russell, Lucy L., Thomas, David L., Eugenio Iglesias, Juan, van Swieten, John C., Jiskoot, Lize C., Seelaar, Harro, Borroni, Barbara, Galimberti, Daniela, Sanchez-Valle, Raquel, Laforce, Robert, Moreno, Fermin, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Carmela Tartaglia, Maria, Rowe, James B., Vandenberghe, Rik, Finger, Elizabeth, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris R., Ducharme, Simon, Gerhard, Alexander, Danek, Adrian, Levin, Johannes, Otto, Markus, Sorbi, Sandro, Le Ber, Isabelle, Pasquier, Florence, and Rohrer, Jonathan D.
Published: 2021
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37. Disease-related cortical thinning in presymptomatic granulin mutation carriers

Author: Rossor, Martin N., Fox, Nick C., Woollacott, Ione O.C., Shafei, Rachelle, Greaves, Caroline, Neason, Mollie, Guerreiro, Rita, Bras, Jose, Thomas, David L., Nicholas, Jennifer, Mead, Simon, Meeter, Lieke, Panman, Jessica, Papma, Janne, van Minkelen, Rick, Pijnenburg, Yolande, Indakoetxea, Begoña, Gabilondo, Alazne, TaintaMD, Mikel, de Arriba, Maria, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Diaz, Zigor, Olives, Jaume, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Cosseddu, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wai, David, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini MD, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Bender, Benjamin, Bruffaerts, Rose, Vandamme, Philip, Vandenbulcke, Mathieu, Maruta, Carolina, Ferreira, Catarina B., Miltenberger, Gabriel, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro, Diana, Rosario Almeida, Maria, Castelo-Branco, Miguel, João Leitão, Maria, Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Rosa-Neto, Pedro, Veldsman, Michele, Flanagan, Toby, Prix, Catharina, Hoegen, Tobias, Wlasich, Elisabeth, Loosli, Sandra, Schonecker, Sonja, Semler, Elisa, Anderl-Straub, Sarah, Borrego-Écija, Sergi, Sala-Llonch, Roser, van Swieten, John, Borroni, Barbara, Moreno, Fermín, Masellis, Mario, Tartaglia, Carmela, Graff, Caroline, Galimberti, Daniela, Laforce, Robert, Jr, Rowe, James B, Finger, Elizabeth, Vandenberghe, Rik, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Synofzik, Matthis, Ducharme, Simon, Levin, Johannes, Danek, Adrian, Gerhard, Alex, Otto, Markus, Butler, Chris, Frisoni, Giovanni, Sorbi, Sandro, Heller, Carolin, Bocchetta, Martina, Cash, David M, Convery, Rhian S, Moore, Katrina M, Rohrer, Jonathan D, and Sanchez-Valle, Raquel
Published: 2021
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38. A comparison of automated atrophy measures across the frontotemporal dementia spectrum: Implications for trials

Author: Gordon, Elizabeth, Bocchetta, Martina, Nicholas, Jennifer, Cash, David M, and Rohrer, Jonathan D
Published: 2021
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39. Shift and night work in the fourth decade is associated with reduced brain volume in late life independent of amyloidogenic pathways: an Insight 46 study.

Author: King‐Robson, Josh, Nicholas, Jennifer M, James, Sarah‐Naomi, Sudre, Carole H, Lu, Kirsty, Barnes, Jo, Brown, Thomas M., Coath, William, Cash, David M, Warren, Jason D, Richards, Marcus, and Schott, Jonathan M
Abstract: Background: Sleep and circadian disruption are associated with increased dementia risk, yet the mechanism remains poorly understood. We examined the relationship between night/shift working in the fourth decade and late‐life brain health. We explored whether significant relationships were mediated by life course factors including cardiovascular risk. Methods: Night/shift working (yes/no) was recorded prospectively at age 31. Smoking, alcohol intake, body mass index, exercise, blood pressure, and Framingham risk scores (FRS) were determined at 3‐6 timepoints across the life course (age 20, 36, 43, 53, 60‐64, 68‐70). Whole‐brain and hippocampal volumes, white matter hyperintensity volume (WMHV), and β‐amyloid PET SUVr were derived from T1, fluid‐attenuated inversion recovery, and 18F‐Florbetapir PET, respectively, at age ∼73. Associations between night/shift working, life course cardiovascular risk factors, and imaging metrics were examined with linear regression. Causal mediation analysis (gformula approach in R), examined whether significant relationships between night/shift working and imaging metrics were mediated by life course cardiovascular risk factors. Analyses were adjusted for gender, adult socioeconomic status, educational attainment, age at imaging, and intracranial volume for volumetric measures. Results: 432 participants had available data, of whom 74 (17.1%) were night/shift workers. Night/shift workers had lower whole brain volume (‐26.2 ml, 95% CI ‐39.3, ‐13.0, P < 0.001, Figure 1), without evidence of a significant difference in hippocampal volume, WMHV, or amyloid‐β SUVr. Night/shift workers had 0.6% higher FRS (95% CI; 0.23%, 0.91%; P = 0.001) and higher alcohol consumption age 36 (5.7 g/day, 95% CI, 0.3, 11.2, P = 0.04); higher alcohol consumption age 60‐64 (10.7 g/day, 95% CI, 4.5, 16.9; P < 0.001); and smoked an additional 5.7 pack‐years by age 60‐64 (95% CI 1.9, 9.4; P = 0.003, Figure 2). 35% of the brain volume reduction in shift workers was mediated by cardiovascular risk factors (Figure 3). Conclusion: Shift working in the early 30s is associated with lower brain volume in late‐life independent of amyloidogenic pathways. While partially mediated by increased cardiovascular risk factors in night/shift workers, the majority of the effect is unexplained and may be a direct effect of night/shift working on brain health. [ABSTRACT FROM AUTHOR]
Published: 2024
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40. Biomarker pathway heterogeneity of amyloid‐positive individuals.

Author: Prosser, Lloyd, Sudre, Carole H., Oxtoby, Neil P., Young, Alexandra L., Malone, Ian B., Manning, Emily N., Pemberton, Hugh, Walsh, Phoebe, Barkhof, Frederik, Biessels, Geert Jan, Cash, David M., and Barnes, Josephine
Published: 2024
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41. Social cognition impairment in genetic frontotemporal dementia within the GENFI cohort

Author: Rossor, Martin N., Fox, Nick C., Woollacott, Ione O.C., Shafei, Rachelle, Heller, Carolin, Guerreiro, Rita, Bras, Jose, Thomas, David L., Mead, Simon, Meeter, Lieke, Panman, Jessica, Papma, Janne, Poos, Jackie, van Minkelen, Rick, Pijnenburg, Yolanda, Barandiaran, Myriam, Indakoetxea, Begoña, Gabilondo, Alazne, Tainta, Mikel, de Arriba, Maria, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Diaz, Zigor, Borrego-Ecija, Sergi, Olives, Jaume, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Cosseddu MPsych, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wai, Daid, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Karnarth, Hans-Otto, Bender, Benjamin, Bruffaerts, Rose, Vandamme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B., Miltenberger, Gabriel, Maruta MPsych, Carolina, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Muscio, Cristina, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro NPsych, Diana, Almeida, Maria R., Castelo-Branco, Miguel, Leitão, Maria J., Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Rosa-Neto, Pedro, Veldsman, Michele, Thompson, Paul, Langheinrich, Tobias, Prix, Catharina, Hoegen, Tobias, Wlasich, Elisabeth, Loosli, Sandra, Schonecker, Sonja, Semler, Elisa, Anderl-Straub, Sarah, Russell, Lucy L., Greaves, Caroline V., Bocchetta, Martina, Nicholas, Jennifer, Convery, Rhian S., Moore, Katrina, Cash, David M., van Swieten, John, Jiskoot, Lize, Moreno, Fermin, Sanchez-Valle, Raquel, Borroni, Barbara, Laforce, Robert, Jr., Masellis, Mario, Tartaglia, Maria Carmela, Graff, Caroline, Rotondo, Emanuela, Galimberti, Daniela, Rowe, James B., Finger, Elizabeth, Synofzik, Matthis, Vandenberghe, Rik, de Mendonça, Alexandre, Tagliavini, Fabrizio, Santana, Isabel, Ducharme, Simon, Butler, Chris, Gerhard, Alex, Levin, Johannes, Danek, Adrian, Otto, Markus, Warren, Jason D., and Rohrer, Jonathan D.
Published: 2020
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42. Serum neurofilament light chain levels are associated with white matter integrity in autosomal dominant Alzheimer's disease

Author: Schultz, Stephanie A., Strain, Jeremy F., Adedokun, Adedamola, Wang, Qing, Preische, Oliver, Kuhle, Jens, Flores, Shaney, Keefe, Sarah, Dincer, Aylin, Ances, Beau M., Berman, Sarah B., Brickman, Adam M., Cash, David M., Chhatwal, Jasmeer, Cruchaga, Carlos, Ewers, Michael, Fox, Nick N., Ghetti, Bernardino, Goate, Alison, Graff-Radford, Neill R., Hassenstab, Jason J., Hornbeck, Russ, Jack, Clifford, Jr, Johnson, Keith, Joseph-Mathurin, Nelly, Karch, Celeste M., Koeppe, Robert A., Lee, Athene K.W., Levin, Johannes, Masters, Colin, McDade, Eric, Perrin, Richard J., Rowe, Christopher C., Salloway, Stephen, Saykin, Andrew J., Sperling, Reisa, Su, Yi, Villemagne, Victor L., Vöglein, Jonathan, Weiner, Michael, Xiong, Chengjie, Fagan, Anne M., Morris, John C., Bateman, Randall J., Benzinger, Tammie L.S., Jucker, Mathias, and Gordon, Brian A.
Published: 2020
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43. Basal forebrain atrophy in frontotemporal dementia

Author: Convery, Rhian S., Neason, Mollie R., Cash, David M., Cardoso, M. Jorge, Modat, Marc, Ourselin, Sebastien, Warren, Jason D., Rohrer, Jonathan D., and Bocchetta, Martina
Published: 2020
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44. Olfactory testing does not predict β-amyloid, MRI measures of neurodegeneration or vascular pathology in the British 1946 birth cohort

Author: Buchanan, Sarah M., Parker, Thomas D., Lane, Christopher A., Keshavan, Ashvini, Keuss, Sarah E., Lu, Kirsty, James, Sarah-Naomi, Murray-Smith, Heidi, Wong, Andrew, Nicholas, Jennifer, Cash, David M., Malone, Ian B., Coath, William, Thomas, David L., Sudre, Carole, Fox, Nick C., Richards, Marcus, and Schott, Jonathan M.
Published: 2020
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45. Amygdala subnuclei are differentially affected in the different genetic and pathological forms of frontotemporal dementia

Author: Bocchetta, Martina, Iglesias, Juan Eugenio, Cash, David M., Warren, Jason D., and Rohrer, Jonathan D.
Published: 2019
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46. Serum neurofilament light chain in genetic frontotemporal dementia: a longitudinal, multicentre cohort study

Author: Rossor, Martin N., Warren, Jason D., Fox, Nick C., Woollacott, Ione O.C., Shafei, Rachelle, Greaves, Caroline, Guerreiro, Rita, Bras, Jose, Thomas, David L., Nicholas, Jennifer, Mead, Simon, van Minkelen, Rick, Barandiaran, Myriam, Indakoetxea, Begoña, Gabilondo, Alazne, Tainta, Mikel, de Arriba, Maria, Gorostidi, Ana, Zulaica, Miren, Villanua, Jorge, Diaz, Zigor, Borrego-Ecija, Sergi, Olives, Jaume, Lladó, Albert, Balasa, Mircea, Antonell, Anna, Bargallo, Nuria, Premi, Enrico, Cosseddu, Maura, Gazzina, Stefano, Padovani, Alessandro, Gasparotti, Roberto, Archetti, Silvana, Black, Sandra, Mitchell, Sara, Rogaeva, Ekaterina, Freedman, Morris, Keren, Ron, Tang-Wai, David, Öijerstedt, Linn, Andersson, Christin, Jelic, Vesna, Thonberg, Hakan, Arighi, Andrea, Fenoglio, Chiara, Scarpini, Elio, Fumagalli, Giorgio, Cope, Thomas, Timberlake, Carolyn, Rittman, Timothy, Shoesmith, Christen, Bartha, Robart, Rademakers, Rosa, Wilke, Carlo, Karnath, Hans-Otto, Bender, Benjamin, Bruffaerts, Rose, Vandamme, Philip, Vandenbulcke, Mathieu, Ferreira, Catarina B., Miltenberger, Gabriel, Maruta, Carolina, Verdelho, Ana, Afonso, Sónia, Taipa, Ricardo, Caroppo, Paola, Di Fede, Giuseppe, Giaccone, Giorgio, Prioni, Sara, Redaelli, Veronica, Rossi, Giacomina, Tiraboschi, Pietro, Duro, Diana, Rosario Almeida, Maria, Castelo-Branco, Miguel, João Leitão, Maria, Tabuas-Pereira, Miguel, Santiago, Beatriz, Gauthier, Serge, Schonecker, Sonja, Semler, Elisa, Anderl-Straub, Sarah, Benussi, Luisa, Binetti, Giuliano, Ghidoni, Roberta, Pievani, Michela, Lombardi, Gemma, Nacmias, Benedetta, Ferrari, Camilla, Bessi, Valentina, van der Ende, Emma L, Meeter, Lieke H, Poos, Jackie M, Panman, Jessica L, Jiskoot, Lize C, Dopper, Elise G P, Papma, Janne M, de Jong, Frank Jan, Verberk, Inge M W, Teunissen, Charlotte, Rizopoulos, Dimitris, Heller, Carolin, Convery, Rhian S, Moore, Katrina M, Bocchetta, Martina, Neason, Mollie, Cash, David M, Borroni, Barbara, Galimberti, Daniela, Sanchez-Valle, Raquel, Laforce, Robert, Jr, Moreno, Fermin, Synofzik, Matthis, Graff, Caroline, Masellis, Mario, Carmela Tartaglia, Maria, Rowe, James B, Vandenberghe, Rik, Finger, Elizabeth, Tagliavini, Fabrizio, de Mendonça, Alexandre, Santana, Isabel, Butler, Chris, Ducharme, Simon, Gerhard, Alex, Danek, Adrian, Levin, Johannes, Otto, Markus, Frisoni, Giovanni B, Cappa, Stefano, Pijnenburg, Yolande A L, Rohrer, Jonathan D, and van Swieten, John C
Published: 2019
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47. Associations between blood pressure across adulthood and late-life brain structure and pathology in the neuroscience substudy of the 1946 British birth cohort (Insight 46): an epidemiological study

Author: Lane, Christopher A, Barnes, Josephine, Nicholas, Jennifer M, Sudre, Carole H, Cash, David M, Parker, Thomas D, Malone, Ian B, Lu, Kirsty, James, Sarah-Naomi, Keshavan, Ashvini, Murray-Smith, Heidi, Wong, Andrew, Buchanan, Sarah M, Keuss, Sarah E, Gordon, Elizabeth, Coath, William, Barnes, Anna, Dickson, John, Modat, Marc, Thomas, David, Crutch, Sebastian J, Hardy, Rebecca, Richards, Marcus, Fox, Nick C, and Schott, Jonathan M
Published: 2019
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48. Investigating the relationship between BMI across adulthood and late life brain pathologies

Author: Lane, Christopher A., Barnes, Josephine, Nicholas, Jennifer M., Baker, John W., Sudre, Carole H., Cash, David M., Parker, Thomas D., Malone, Ian B., Lu, Kirsty, James, Sarah-Naomi, Keshavan, Ashvini, Buchanan, Sarah, Keuss, Sarah, Murray-Smith, Heidi, Wong, Andrew, Gordon, Elizabeth, Coath, William, Modat, Marc, Thomas, David, Hardy, Rebecca, Richards, Marcus, Fox, Nick C., and Schott, Jonathan M.
Published: 2021
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49. Early anterior cingulate involvement is seen in presymptomatic MAPT P301L mutation carriers

Author: Clarke, Mica T. M., St-Onge, Frédéric, Beauregard, Jean-Mathieu, Bocchetta, Martina, Todd, Emily, Cash, David M., Rohrer, Jonathan D., and Laforce, Jr, Robert
Published: 2021
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50. Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort

Author: Andersson, Christin, Archetti, Silvana, Arighi, Andrea, Benussi, Luisa, Black, Sandra, Cosseddu, Maura, Fallstrm, Marie, Ferreira, Carlos, Fenoglio, Chiara, Fox, Nick, Freedman, Morris, Fumagalli, Giorgio, Gazzina, Stefano, Ghidoni, Roberta, Grisoli, Marina, Jelic, Vesna, Jiskoot, Lize, Keren, Ron, Lombardi, Gemma, Maruta, Carolina, Meeter, Lieke, van Minkelen, Rick, Nacmias, Benedetta, ijerstedt, Linn, Padovani, Alessandro, Panman, Jessica, Pievani, Michela, Polito, Cristina, Premi, Enrico, Prioni, Sara, Rademakers, Rosa, Redaelli, Veronica, Rogaeva, Ekaterina, Rossi, Giacomina, Rossor, Martin, Scarpini, Elio, Tang-Wai, David, Tartaglia, Carmela, Thonberg, Hakan, Tiraboschi, Pietro, Verdelho, Ana, Warren, Jason, Cury, Claire, Durrleman, Stanley, Cash, David M., Lorenzi, Marco, Nicholas, Jennifer M., Bocchetta, Martina, van Swieten, John C., Borroni, Barbara, Galimberti, Daniela, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B., Graff, Caroline, Tagliavini, Fabrizio, Frisoni, Giovanni B., Laforce, Robert, Jr., Finger, Elizabeth, de Mendonça, Alexandre, Sorbi, Sandro, Ourselin, Sebastien, Rohrer, Jonathan D., and Modat, Marc
Published: 2019
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