493 results on '"Poston, Kathleen L."'
Search Results
2. Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases
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Endo, Mark, Nerrise, Favour, Zhao, Qingyu, Sullivan, Edith V., Fei-Fei, Li, Henderson, Victor W., Pohl, Kilian M., Poston, Kathleen L., and Adeli, Ehsan
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- 2024
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3. Longitudinal network changes and phenoconversion risk in isolated REM sleep behavior disorder
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Tang, Chris C., Nakano, Yoshikazu, Vo, An, Nguyen, Nha, Schindlbeck, Katharina A., Mattis, Paul J., Poston, Kathleen L., Gagnon, Jean-François, Postuma, Ronald B., Niethammer, Martin, Ma, Yilong, Peng, Shichun, Dhawan, Vijay, and Eidelberg, David
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- 2024
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4. A worldwide study of subcortical shape as a marker for clinical staging in Parkinson’s disease
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Laansma, Max A., Zhao, Yuji, van Heese, Eva M., Bright, Joanna K., Owens-Walton, Conor, Al-Bachari, Sarah, Anderson, Tim J., Assogna, Francesca, van Balkom, Tim D., Berendse, Henk W., Cendes, Fernando, Dalrymple-Alford, John C., Debove, Ines, Dirkx, Michiel F., Druzgal, Jason, Emsley, Hedley C. A., Fouche, Jean-Paul, Garraux, Gaëtan, Guimarães, Rachel P., Helmich, Rick C., Hu, Michele, van den Heuvel, Odile A., Isaev, Dmitry, Kim, Ho-Bin, Klein, Johannes C., Lochner, Christine, McMillan, Corey T., Melzer, Tracy R., Newman, Benjamin, Parkes, Laura M., Pellicano, Clelia, Piras, Fabrizio, Pitcher, Toni L., Poston, Kathleen L., Rango, Mario, Ribeiro, Leticia F., Rocha, Cristiane S., Rummel, Christian, Santos, Lucas S. R., Schmidt, Reinhold, Schwingenschuh, Petra, Squarcina, Letizia, Stein, Dan J., Vecchio, Daniela, Vriend, Chris, Wang, Jiunjie, Weintraub, Daniel, Wiest, Roland, Yasuda, Clarissa L., Jahanshad, Neda, Thompson, Paul M., van der Werf, Ysbrand D., and Gutman, Boris A.
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- 2024
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5. Neuronal alpha-Synuclein Disease integrated staging system performance in PPMI, PASADENA, and SPARK baseline cohorts
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Dam, Tien, Pagano, Gennaro, Brumm, Michael C., Gochanour, Caroline, Poston, Kathleen L., Weintraub, Daniel, Chahine, Lana M., Coffey, Christopher, Tanner, Caroline M., Kopil, Catherine M., Xiao, Yuge, Chowdhury, Sohini, Concha-Marambio, Luis, DiBiaso, Peter, Foroud, Tatiana, Frasier, Mark, Jennings, Danna, Kieburtz, Karl, Merchant, Kalpana, Mollenhauer, Brit, Montine, Thomas J., Nudelman, Kelly, Seibyl, John, Sherer, Todd, Singleton, Andrew, Stephenson, Diane, Stern, Matthew, Soto, Claudio, Tolosa, Eduardo, Siderowf, Andrew, Dunn, Billy, Simuni, Tanya, and Marek, Kenneth
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- 2024
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6. A worldwide study of white matter microstructural alterations in people living with Parkinson’s disease
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Owens-Walton, Conor, Nir, Talia M., Al-Bachari, Sarah, Ambrogi, Sonia, Anderson, Tim J., Aventurato, Ítalo Karmann, Cendes, Fernando, Chen, Yao-Liang, Ciullo, Valentina, Cook, Phil, Dalrymple-Alford, John C., Dirkx, Michiel F., Druzgal, Jason, Emsley, Hedley C. A., Guimarães, Rachel, Haroon, Hamied A., Helmich, Rick C., Hu, Michele T., Johansson, Martin E., Kim, Ho Bin, Klein, Johannes C., Laansma, Max, Lawrence, Katherine E., Lochner, Christine, Mackay, Clare, McMillan, Corey T., Melzer, Tracy R., Nabulsi, Leila, Newman, Ben, Opriessnig, Peter, Parkes, Laura M., Pellicano, Clelia, Piras, Fabrizio, Piras, Federica, Pirpamer, Lukas, Pitcher, Toni L., Poston, Kathleen L., Roos, Annerine, Silva, Lucas Scárdua, Schmidt, Reinhold, Schwingenschuh, Petra, Shahid-Besanti, Marian, Spalletta, Gianfranco, Stein, Dan J., Thomopoulos, Sophia I., Tosun, Duygu, Tsai, Chih-Chien, van den Heuvel, Odile A., van Heese, Eva, Vecchio, Daniela, Villalón-Reina, Julio E., Vriend, Chris, Wang, Jiun-Jie, Wu, Yih-Ru, Yasuda, Clarissa Lin, Thompson, Paul M., Jahanshad, Neda, and van der Werf, Ysbrand
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- 2024
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7. Single-cell peripheral immunoprofiling of Lewy body and Parkinson’s disease in a multi-site cohort
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Phongpreecha, Thanaphong, Mathi, Kavita, Cholerton, Brenna, Fox, Eddie J., Sigal, Natalia, Espinosa, Camilo, Reincke, Momsen, Chung, Philip, Hwang, Ling-Jen, Gajera, Chandresh R., Berson, Eloise, Perna, Amalia, Xie, Feng, Shu, Chi-Hung, Hazra, Debapriya, Channappa, Divya, Dunn, Jeffrey E., Kipp, Lucas B., Poston, Kathleen L., Montine, Kathleen S., Maecker, Holden T., Aghaeepour, Nima, and Montine, Thomas J.
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- 2024
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8. Impaired 24-h activity patterns are associated with an increased risk of Alzheimer’s disease, Parkinson’s disease, and cognitive decline
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Winer, Joseph R., Lok, Renske, Weed, Lara, He, Zihuai, Poston, Kathleen L., Mormino, Elizabeth C., and Zeitzer, Jamie M.
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- 2024
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9. An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment
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Nerrise, Favour, Zhao, Qingyu, Poston, Kathleen L., Pohl, Kilian M., and Adeli, Ehsan
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Electrical Engineering and Systems Science - Image and Video Processing ,Quantitative Biology - Neurons and Cognition - Abstract
One of the hallmark symptoms of Parkinson's Disease (PD) is the progressive loss of postural reflexes, which eventually leads to gait difficulties and balance problems. Identifying disruptions in brain function associated with gait impairment could be crucial in better understanding PD motor progression, thus advancing the development of more effective and personalized therapeutics. In this work, we present an explainable, geometric, weighted-graph attention neural network (xGW-GAT) to identify functional networks predictive of the progression of gait difficulties in individuals with PD. xGW-GAT predicts the multi-class gait impairment on the MDS Unified PD Rating Scale (MDS-UPDRS). Our computational- and data-efficient model represents functional connectomes as symmetric positive definite (SPD) matrices on a Riemannian manifold to explicitly encode pairwise interactions of entire connectomes, based on which we learn an attention mask yielding individual- and group-level explainability. Applied to our resting-state functional MRI (rs-fMRI) dataset of individuals with PD, xGW-GAT identifies functional connectivity patterns associated with gait impairment in PD and offers interpretable explanations of functional subnetworks associated with motor impairment. Our model successfully outperforms several existing methods while simultaneously revealing clinically-relevant connectivity patterns. The source code is available at https://github.com/favour-nerrise/xGW-GAT ., Comment: Accepted by the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). MICCAI Student-Author Registration (STAR) Award. 11 pages, 2 figures, 1 table, appendix. Source Code: https://github.com/favour-nerrise/xGW-GAT
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- 2023
10. Impact of the Dopamine System on Long‐Term Cognitive Impairment in Parkinson Disease: An Exploratory Study
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Weintraub, Daniel, Picillo, Marina, Cho, Hyunkeun Ryan, Caspell‐Garcia, Chelsea, Blauwendraat, Cornelis, Brown, Ethan G, Chahine, Lana M, Coffey, Christopher S, Dobkin, Roseanne D, Foroud, Tatiana, Galasko, Doug, Kieburtz, Karl, Marek, Kenneth, Merchant, Kalpana, Mollenhauer, Brit, Poston, Kathleen L, Simuni, Tanya, Siderowf, Andrew, Singleton, Andrew, Seibyl, John, Tanner, Caroline M, and Initiative, the Parkinson's Progression Markers
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Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Mental Health ,Neurosciences ,Neurodegenerative ,Parkinson's Disease ,Aging ,Prevention ,Dementia ,Behavioral and Social Science ,Clinical Research ,Brain Disorders ,Acquired Cognitive Impairment ,Aetiology ,2.3 Psychological ,social and economic factors ,Neurological ,Mental health ,dopamine ,cognition ,Parkinson's disease ,Parkinson's Progression Markers Initiative ,Clinical sciences - Abstract
BackgroundLittle is known about the impact of the dopamine system on development of cognitive impairment (CI) in Parkinson disease (PD).ObjectivesWe used data from a multi-site, international, prospective cohort study to explore the impact of dopamine system-related biomarkers on CI in PD.MethodsPD participants were assessed annually from disease onset out to 7 years, and CI determined by applying cut-offs to four measures: (1) Montreal Cognitive Assessment; (2) detailed neuropsychological test battery; (3) Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) cognition score; and (4) site investigator diagnosis of CI (mild cognitive impairment or dementia). The dopamine system was assessed by serial Iodine-123 Ioflupane dopamine transporter (DAT) imaging, genotyping, and levodopa equivalent daily dose (LEDD) recorded at each assessment. Multivariate longitudinal analyses, with adjustment for multiple comparisons, determined the association between dopamine system-related biomarkers and CI, including persistent impairment.ResultsDemographic and clinical variables associated with CI were higher age, male sex, lower education, non-White race, higher depression and anxiety scores and higher MDS-UPDRS motor score. For the dopamine system, lower baseline mean striatum dopamine transporter values (P range 0.003-0.005) and higher LEDD over time (P range
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- 2023
11. Basal Ganglia Diseases
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Ryman, Sephira G., Poston, Kathleen L., Kahana, Michael J., book editor, and Wagner, Anthony D., book editor
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- 2024
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12. Comprehensive proteomics of CSF, plasma, and urine identify DDC and other biomarkers of early Parkinson’s disease
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Rutledge, Jarod, Lehallier, Benoit, Zarifkar, Pardis, Losada, Patricia Moran, Shahid-Besanti, Marian, Western, Dan, Gorijala, Priyanka, Ryman, Sephira, Yutsis, Maya, Deutsch, Gayle K., Mormino, Elizabeth, Trelle, Alexandra, Wagner, Anthony D., Kerchner, Geoffrey A., Tian, Lu, Cruchaga, Carlos, Henderson, Victor W., Montine, Thomas J., Borghammer, Per, Wyss-Coray, Tony, and Poston, Kathleen L.
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- 2024
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13. GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation
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Endo, Mark, Poston, Kathleen L., Sullivan, Edith V., Fei-Fei, Li, Pohl, Kilian M., and Adeli, Ehsan
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
Parkinson's disease (PD) is a neurological disorder that has a variety of observable motor-related symptoms such as slow movement, tremor, muscular rigidity, and impaired posture. PD is typically diagnosed by evaluating the severity of motor impairments according to scoring systems such as the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Automated severity prediction using video recordings of individuals provides a promising route for non-intrusive monitoring of motor impairments. However, the limited size of PD gait data hinders model ability and clinical potential. Because of this clinical data scarcity and inspired by the recent advances in self-supervised large-scale language models like GPT-3, we use human motion forecasting as an effective self-supervised pre-training task for the estimation of motor impairment severity. We introduce GaitForeMer, Gait Forecasting and impairment estimation transforMer, which is first pre-trained on public datasets to forecast gait movements and then applied to clinical data to predict MDS-UPDRS gait impairment severity. Our method outperforms previous approaches that rely solely on clinical data by a large margin, achieving an F1 score of 0.76, precision of 0.79, and recall of 0.75. Using GaitForeMer, we show how public human movement data repositories can assist clinical use cases through learning universal motion representations. The code is available at https://github.com/markendo/GaitForeMer ., Comment: Accepted as a conference paper at MICCAI (Medical Image Computing and Computer Assisted Intervention) 2022
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- 2022
14. Gait and balance in apolipoprotein Ɛ4 allele carriers in older adults and Parkinson’s disease
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Morris, Rosie, Martini, Douglas N, Kelly, Valerie E, Smulders, Katrijn, Ramsey, Katrina, Hiller, Amie, Chung, Kathryn A, Hu, Shu-Ching, Zabetian, Cyrus P, Poston, Kathleen L, Mata, Ignacio F, Edwards, Karen L, Lapidus, Jodi, Cholerton, Brenna, Montine, Thomas J, Quinn, Joseph F, and Horak, Fay
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Brain Disorders ,Clinical Research ,Parkinson's Disease ,Neurodegenerative ,Neurosciences ,Aging ,Acquired Cognitive Impairment ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,APOE ,Balance ,Gait ,Older adults ,Parkinson’s disease - Abstract
BackgroundGait and balance impairments are among the most troublesome and heterogeneous in Parkinson's disease (PD). This heterogeneity may, in part, reflect genetic variation. The apolipoprotein E (APOE) gene has three major allelic variants (ε2, ε3 and ε4). Previous work has demonstrated that older adult (OA) APOE ε4 carriers demonstrate gait deficits. This study compared gait and balance measures between APOE ε4 carriers and non-carriers in both OA and PD.Methods334 people with PD (81 APOE ε4 carriers and 253 non-carriers) and 144 OA (41 carriers and 103 non-carriers) were recruited. Gait and balance were assessed using body-worn inertial sensors. Two-way analyses of covariance (ANCOVA) compared gait and balance characteristics between APOE ε4 carriers and non-carriers in people with PD and OA, controlling for age, gender, and testing site.ResultsGait and balance were worse in people with PD compared to OA. However, there were no differences between APOE ε4 carriers and non-carriers in either the OA or PD group. In addition, there were no significant group (OA/PD) by APOE ε4 status (carrier/non-carrier) interaction effects for any measures of gait or balance.ConclusionsAlthough we found expected impairments in gait and balance in PD compared to OA, gait and balance characteristics did not differ between APOE ε4 carriers and non-carriers in either group. While APOE status did not impact gait and balance in this cross-sectional study, future work is needed to determine whether progression of gait and balance deficits is faster in PD APOE Ɛ4 carriers.
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- 2023
15. Cognition as a mediator for gait and balance impairments in GBA-related Parkinson’s disease
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Morris, Rosie, Martini, Douglas N, Ramsey, Katrina, Kelly, Valerie E, Smulders, Katrijn, Hiller, Amie, Chung, Kathryn A, Hu, Shu-Ching, Zabetian, Cyrus P, Poston, Kathleen L, Mata, Ignacio F, Edwards, Karen L, Lapidus, Jodi, Cholerton, Brenna, Montine, Thomas J, Quinn, Joseph F, and Horak, Fay
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Biomedical and Clinical Sciences ,Biological Psychology ,Cognitive and Computational Psychology ,Neurosciences ,Psychology ,Aging ,Neurodegenerative ,Clinical Research ,Parkinson's Disease ,Brain Disorders ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Biological psychology ,Cognitive and computational psychology - Abstract
The extent to which the heterogeneity of gait and balance problems in PD may be explained by genetic variation is unknown. Variants in the glucocerebrosidase (GBA) gene are the strongest known genetic risk factor for PD and are associated with greater motor and cognitive severity. However, the impact of GBA variants on comprehensive measures of gait and balance and their relationship to cognition remains unknown. We aimed to determine differences in gait and balance impairments in those with and without GBA variants (mutation carriers and E326K polymorphism) and explore direct and indirect effects of GBA status on gait, balance, and cognition. 332 participants, 43 of whom had GBA variants, were recruited. Participants completed a comprehensive, objective assessment of gait and standing balance using body-worn inertial sensors. Group differences in gait and balance between PD with and without GBA variants were assessed with linear regression, adjusting for age, gender, clinical testing site, disease duration, and apolipoprotein E (APOE) ɛ4 status. Structural equation modeling (SEM) explored direct relationships between GBA status and gait and balance and indirect relationships between GBA status and gait and balance via cognition. The GBA variant group had more impaired gait (pace and variability) and balance (sway area/jerk and sway velocity), than the non-GBA variant group. SEM demonstrated cognition as a mediator of GBA status on gait and balance. The close relationships among GBA, gait/balance, and cognition suggest potential for novel therapeutics to target the GBA pathway and/or cognition to improve mobility in PD GBA variants.
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- 2022
16. Fluid and Tissue Biomarkers of Lewy Body Dementia: Report of an LBDA Symposium
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Scott, Gregory D, Arnold, Moriah R, Beach, Thomas G, Gibbons, Christopher H, Kanthasamy, Anumantha G, Lebovitz, Russell M, Lemstra, Afina W, Shaw, Leslie M, Teunissen, Charlotte E, Zetterberg, Henrik, Taylor, Angela S, Graham, Todd C, Boeve, Bradley F, Gomperts, Stephen N, Graff-Radford, Neill R, Moussa, Charbel, Poston, Kathleen L, Rosenthal, Liana S, Sabbagh, Marwan N, Walsh, Ryan R, Weber, Miriam T, Armstrong, Melissa J, Bang, Jee A, Bozoki, Andrea C, Domoto-Reilly, Kimiko, Duda, John E, Fleisher, Jori E, Galasko, Douglas R, Galvin, James E, Goldman, Jennifer G, Holden, Samantha K, Honig, Lawrence S, Huddleston, Daniel E, Leverenz, James B, Litvan, Irene, Manning, Carol A, Marder, Karen S, Pantelyat, Alexander Y, Pelak, Victoria S, Scharre, Douglas W, Sha, Sharon J, Shill, Holly A, Mari, Zoltan, Quinn, Joseph F, and Irwin, David J
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Biomedical and Clinical Sciences ,Biological Psychology ,Clinical Sciences ,Neurosciences ,Psychology ,Alzheimer's Disease Related Dementias (ADRD) ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Alzheimer's Disease ,Aging ,Dementia ,Brain Disorders ,Acquired Cognitive Impairment ,Lewy Body Dementia ,Parkinson's Disease ,Neurodegenerative ,Neurological ,cerebrospinal fluid ,alpha-synuclein ,skin biopsy ,seeded aggregation assays ,tau ,amyloid ,Lewy body dementia ,LBDA biomarker symposium ,Clinical sciences ,Biological psychology - Abstract
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.
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- 2022
17. Influence of common reference regions on regional tau patterns in cross-sectional and longitudinal [18F]-AV-1451 PET data
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Young, Christina B, Landau, Susan M, Harrison, Theresa M, Poston, Kathleen L, Mormino, Elizabeth C, and for the ADNI
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Biomedical and Clinical Sciences ,Health Sciences ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Aging ,Alzheimer's Disease ,Brain Disorders ,Biomedical Imaging ,Dementia ,Clinical Research ,Neurosciences ,Neurodegenerative ,Acquired Cognitive Impairment ,Neurological ,Aged ,Aged ,80 and over ,Alzheimer Disease ,Amyloid ,Amyloid beta-Peptides ,Brain ,Carbolines ,Cognitive Dysfunction ,Cross-Sectional Studies ,Female ,Gray Matter ,Humans ,Longitudinal Studies ,Male ,Middle Aged ,Neuroimaging ,Positron-Emission Tomography ,White Matter ,tau Proteins ,AV-1451 ,Flortaucipir ,Tau pet ,Longitudinal tau pet ,Reference region ,ADNI ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery ,Biomedical and clinical sciences ,Health sciences - Abstract
Tau PET has allowed for critical insights into in vivo patterns of tau accumulation and change in individuals early in the Alzheimer's disease (AD) continuum. A key methodological step in tau PET analyses is the selection of a reference region, but there is not yet consensus on the optimal region especially for longitudinal tau PET analyses. This study examines how reference region selection influences results related to disease stage at baseline and over time. Longitudinal flortaucipir ([18F]-AV1451) PET scans were examined using several common reference regions (e.g., eroded subcortical white matter, inferior cerebellar gray matter) in 62 clinically unimpaired amyloid negative (CU A-) individuals, 73 CU amyloid positive (CU A+) individuals, and 64 amyloid positive individuals with mild cognitive impairment (MCI A+) from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Cross-sectionally, both reference regions resulted in robust group differences between CU A-, CU A+, and MCI A+ groups, along with significant associations with CSF phosphorylated tau (pTau-181). However, these results were more focally specific and akin to Braak Staging when using eroded white matter, whereas effects with inferior cerebellum were globally distributed across most cortical regions. Longitudinally, utilization of eroded white matter revealed significant accumulation greater than zero across more regions whereas change over time was diminished using inferior cerebellum. Interestingly, the inferior temporal target region seemed most robust to reference region selection with expected cross-sectional and longitudinal signal across both reference regions. With few exceptions, baseline tau did not significantly predict longitudinal change in tau in the same region regardless of reference region. In summary, reference region selection deserves further evaluation as this methodological step may lead to disparate findings. Inferior cerebellar gray matter may be more sensitive to cross-sectional flortaucipir differences, whereas eroded subcortical white matter may be more sensitive for longitudinal analyses examining regional patterns of change.
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- 2021
18. Dementia with Lewy Bodies Drug Therapies in Clinical Trials: Systematic Review up to 2022
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Abdelnour, Carla, Gonzalez, Maria Camila, Gibson, Lucy L., Poston, Kathleen L., Ballard, Clive G., Cummings, Jeffrey L., and Aarsland, Dag
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- 2023
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19. Episodic memory deficit in HIV infection: common phenotype with Parkinson’s disease, different neural substrates
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Fama, Rosemary, Müller-Oehring, Eva M., Levine, Taylor F., Sullivan, Edith V., Sassoon, Stephanie A., Asok, Priya, Brontë-Stewart, Helen M., Poston, Kathleen L., Pohl, Kilian M., Pfefferbaum, Adolf, and Schulte, Tilman
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- 2023
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20. Quantitative estimate of cognitive resilience and its medical and genetic associations
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Phongpreecha, Thanaphong, Godrich, Dana, Berson, Eloise, Espinosa, Camilo, Kim, Yeasul, Cholerton, Brenna, Chang, Alan L., Mataraso, Samson, Bukhari, Syed A., Perna, Amalia, Yakabi, Koya, Montine, Kathleen S., Poston, Kathleen L., Mormino, Elizabeth, White, Lon, Beecham, Gary, Aghaeepour, Nima, and Montine, Thomas J.
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- 2023
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21. APOE effects on regional tau in preclinical Alzheimer’s disease
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Young, Christina B., Johns, Emily, Kennedy, Gabriel, Belloy, Michael E., Insel, Philip S., Greicius, Michael D., Sperling, Reisa A., Johnson, Keith A., Poston, Kathleen L., and Mormino, Elizabeth C.
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- 2023
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22. Longitudinal Analysis of Multiple Neurotransmitter Metabolites in Cerebrospinal Fluid in Early Parkinson's Disease
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Kremer, Thomas, Taylor, Kirsten I, Siebourg‐Polster, Juliane, Gerken, Thomas, Staempfli, Andreas, Czech, Christian, Dukart, Juergen, Galasko, Douglas, Foroud, Tatiana, Chahine, Lana M, Coffey, Christopher S, Simuni, Tanya, Weintraub, Daniel, Seibyl, John, Poston, Kathleen L, Toga, Arthur W, Tanner, Caroline M, Marek, Kenneth, Hutten, Samantha J, Dziadek, Sebastian, Trenkwalder, Claudia, Pagano, Gennaro, and Mollenhauer, Brit
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Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Neurosciences ,Brain Disorders ,Parkinson's Disease ,Clinical Research ,Neurodegenerative ,Aging ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,3 ,4-Dihydroxyphenylacetic Acid ,Homovanillic Acid ,Humans ,Levodopa ,Neurotransmitter Agents ,Parkinson Disease ,monoamine metabolites ,catecholamine ,neurotransmitter ,biomarker ,Parkinson&apos ,s disease ,CSF ,homovanillic acid ,Parkinson's disease ,Clinical Sciences ,Human Movement and Sports Sciences ,Neurology & Neurosurgery ,Clinical sciences - Abstract
BackgroundCerebrospinal fluid (CSF) levels of monoamine metabolites may represent biomarkers of Parkinson's disease (PD).ObjectiveThe aim of this study was quantification of multiple metabolites in CSF from PD versus healthy control subjects (HCs), including longitudinal analysis.MethodsAbsolute levels of multiple monoamine metabolites in CSF were quantified by liquid chromatography coupled with tandem mass spectrometry from 161 individuals with early PD and 115 HCs from the Parkinson's Progression Marker Initiative and de novo PD (DeNoPA) studies.ResultsBaseline levels of homovanillic acid (HVA) and 3,4-dihydroxyphenylacetic acid (DOPAC) were lower in individuals with PD compared with HCs. HVA levels correlated with Movement Disorder Society Unified Parkinson's Disease Rating Scale total scores (P
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- 2021
23. Semantic fluency and processing speed are reduced in non-cognitively impaired participants with Parkinson’s disease
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Cholerton, Brenna A, Poston, Kathleen L, Yang, Laurice, Rosenthal, Liana S, Dawson, Ted M, Pantelyat, Alexander, Edwards, Karen L, Tian, Lu, Quinn, Joseph F, Chung, Kathryn A, Hiller, Amie L, Hu, Shu-Ching, Montine, Thomas J, and Zabetian, Cyrus P
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Biological Psychology ,Psychology ,Acquired Cognitive Impairment ,Neurosciences ,Behavioral and Social Science ,Clinical Research ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Dementia ,Neurodegenerative ,Clinical Trials and Supportive Activities ,Parkinson's Disease ,Brain Disorders ,Aging ,Neurological ,Cognition ,Cognitive Dysfunction ,Humans ,Neuropsychological Tests ,Parkinson Disease ,Semantics ,cognition ,healthy volunteers ,neuropsychological assessment ,Parkinson's disease ,Parkinson’s disease ,Cognitive Sciences ,Experimental Psychology ,Biological psychology ,Clinical and health psychology ,Cognitive and computational psychology - Abstract
Introduction: Parkinson's disease (PD) is associated with a range of cognitive deficits. Few studies have carefully examined the subtle impacts of PD on cognition among patients who do not meet formal criteria for MCI or dementia. The aim of the current study was thus to describe the impact of PD on cognition in those without cognitive impairment in a well-characterized cohort.Methods: Non-cognitively impaired participants (122 with PD, 122 age- and sex-matched healthy volunteers) underwent extensive cognitive testing. Linear regression analyses compared diagnostic group performance across cognitive measures. For cognitive tasks that were significantly different between groups, additional analyses examined group differences restricting the group inclusion to PD participants with mild motor symptoms or disease duration less than 10 years.Results: Processing speed and semantic verbal fluency were significantly lower in the PD group (B = -3.77, 95% CIs [-5.76 to -1.77], p
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- 2021
24. Multivariate prediction of dementia in Parkinson’s disease
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Phongpreecha, Thanaphong, Cholerton, Brenna, Mata, Ignacio F, Zabetian, Cyrus P, Poston, Kathleen L, Aghaeepour, Nima, Tian, Lu, Quinn, Joseph F, Chung, Kathryn A, Hiller, Amie L, Hu, Shu-Ching, Edwards, Karen L, and Montine, Thomas J
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Biomedical and Clinical Sciences ,Biological Psychology ,Cognitive and Computational Psychology ,Neurosciences ,Psychology ,Neurodegenerative ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Acquired Cognitive Impairment ,Prevention ,Brain Disorders ,Alzheimer's Disease ,Alzheimer's Disease Related Dementias (ADRD) ,Dementia ,Aging ,Clinical Research ,Behavioral and Social Science ,Parkinson's Disease ,2.1 Biological and endogenous factors ,2.3 Psychological ,social and economic factors ,Aetiology ,Neurological ,Parkinson's disease ,Biological psychology ,Cognitive and computational psychology - Abstract
Cognitive impairment in Parkinson's disease (PD) is pervasive with potentially devastating effects. Identification of those at risk for cognitive decline is vital to identify and implement appropriate interventions. Robust multivariate approaches, including fixed-effect, mixed-effect, and multitask learning models, were used to study associations between biological, clinical, and cognitive factors and for predicting cognitive status longitudinally in a well-characterized prevalent PD cohort (n = 827). Age, disease duration, sex, and GBA status were the primary biological factors associated with cognitive status and progression to dementia. Specific cognitive tests were better predictors of subsequent cognitive status for cognitively unimpaired and dementia groups. However, these models could not accurately predict future mild cognitive impairment (PD-MCI). Data collected from a large PD cohort thus revealed the primary biological and cognitive factors associated with dementia, and provide clinicians with data to aid in the identification of risk for dementia. Sex differences and their potential relationship to genetic status are also discussed.
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- 2020
25. Assessment of heterogeneity among participants in the Parkinson's Progression Markers Initiative cohort using α-synuclein seed amplification: a cross-sectional study
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Siderowf, Andrew, Concha-Marambio, Luis, Lafontant, David-Erick, Farris, Carly M, Ma, Yihua, Urenia, Paula A, Nguyen, Hieu, Alcalay, Roy N, Chahine, Lana M, Foroud, Tatiana, Galasko, Douglas, Kieburtz, Karl, Merchant, Kalpana, Mollenhauer, Brit, Poston, Kathleen L, Seibyl, John, Simuni, Tanya, Tanner, Caroline M, Weintraub, Daniel, Videnovic, Aleksandar, Choi, Seung Ho, Kurth, Ryan, Caspell-Garcia, Chelsea, Coffey, Christopher S, Frasier, Mark, Oliveira, Luis M A, Hutten, Samantha J, Sherer, Todd, Marek, Kenneth, and Soto, Claudio
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- 2023
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26. Neurofunctional characteristics of executive control in older people with HIV infection: a comparison with Parkinson’s disease
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Müller-Oehring, Eva M., Hong, Jui-Yang, Poston, Kathleen L., Brontë-Stewart, Helen M., Sullivan, Edith V., McGlynn, Lawrence, and Schulte, Tilman
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- 2022
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27. An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment
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Nerrise, Favour, primary, Zhao, Qingyu, additional, Poston, Kathleen L., additional, Pohl, Kilian M., additional, and Adeli, Ehsan, additional
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- 2023
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28. Participant and Study Partner Reported Impact of Cognition on Functional Activities in Parkinson's Disease
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Cholerton, Brenna, Poston, Kathleen L, Tian, Lu, Quinn, Joseph F, Chung, Kathryn A, Hiller, Amie L, Hu, Shu‐Ching, Specketer, Krista, Montine, Thomas J, Edwards, Karen L, and Zabetian, Cyrus P
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Brain Disorders ,Aging ,Clinical Research ,Dementia ,Rehabilitation ,Acquired Cognitive Impairment ,Neurodegenerative ,Parkinson's Disease ,Basic Behavioral and Social Science ,Behavioral and Social Science ,Mental health ,Neurological ,Activities of daily living ,Parkinson's disease ,cognition ,dementia ,mild cognitive impairment ,study partner ,Clinical sciences - Abstract
IntroductionCognitive dysfunction is common in Parkinson's disease (PD) and associated with reduced functional abilities and increased dependence. To date, however, little is known about the relationship between performance of instrumental activities of daily living (IADLs) and cognitive stages in PD, and there are conflicting reports as to whether declines in specific cognitive domains predict IADL impairment.MethodsParticipants with PD were drawn from the Pacific Udall Center and included in the study if both participant and study partner IADL ratings and cognitive tests were completed (n = 192). Logistic regression analyses were performed to determine whether participant and/or study partner rating predicted mild cognitive impairment or dementia. Correlations are reported for the relationship between participant/study partner IADL reports as well as for specific cognitive tests.ResultsAlthough both participant and study partner ratings of IADL performance were associated with a diagnosis of PD with dementia, only participant self-rating of functional ability was significantly associated with a diagnosis of PD with mild cognitive impairment. Functional ability correlated most strongly with measures of processing speed, auditory working memory, and immediate verbal recall for both the participant and study partner ratings.ConclusionFor participants with PD in the early stages of cognitive decline, self-rating may be more sensitive to the impact of cognitive changes on IADL function than ratings made by a knowledgeable study partner. Changes in executive function, processing speed, and learning may indicate a higher likelihood of IADL impairment. Careful assessment of cognition and IADL performance is recommended to permit individualized interventions prior to significant disability.
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- 2020
29. Hallucinations and Development of Dementia in Parkinson's Disease.
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Gryc, Wojciech, Roberts, Kathryn A, Zabetian, Cyrus P, Weintraub, Daniel, Trojanowski, John Q, Quinn, Joseph F, Hiller, Amie L, Chung, Kathryn A, Poston, Kathleen L, Yang, Laurice, Hu, Shu-Ching, Edwards, Karen L, Montine, Thomas J, and Cholerton, Brenna A
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Biomedical and Clinical Sciences ,Neurosciences ,Dementia ,Brain Disorders ,Aging ,Mental Health ,Clinical Trials and Supportive Activities ,Acquired Cognitive Impairment ,Clinical Research ,Neurodegenerative ,Parkinson's Disease ,Neurological ,Aged ,Behavioral Symptoms ,Cognitive Dysfunction ,Cross-Sectional Studies ,Female ,Hallucinations ,Humans ,Longitudinal Studies ,Male ,Middle Aged ,Parkinson Disease ,Behavioral symptoms ,cognition ,dementia ,hallucinations ,Parkinson's disease ,Parkinson’s disease ,Biochemistry and Cell Biology - Abstract
Neuropsychiatric symptoms are common in Parkinson's disease (PD). We investigated the relationship between neuropsychiatric symptoms and current and future diagnosis of PD dementia (PDD). Individuals with PD who had a study partner were enrolled (n = 696). Study partners were administered the Neuropsychiatric Inventory or Neuropsychiatric Inventory Questionnaire at baseline. Participants were assigned a cognitive diagnosis at baseline and follow up visits. Hallucinations were significantly associated with a diagnosis of PDD cross-sectionally (p
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- 2020
30. Comparative sensitivity of the MoCA and Mattis Dementia Rating Scale‐2 in Parkinson's disease
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Hendershott, Taylor R, Zhu, Delphine, Llanes, Seoni, Zabetian, Cyrus P, Quinn, Joseph, Edwards, Karen L, Leverenz, James B, Montine, Thomas, Cholerton, Brenna, and Poston, Kathleen L
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Dementia ,Acquired Cognitive Impairment ,Neurodegenerative ,Parkinson's Disease ,Brain Disorders ,Clinical Research ,Aging ,4.2 Evaluation of markers and technologies ,Detection ,screening and diagnosis ,Neurological ,Aged ,Cognition ,Cognition Disorders ,Cognitive Dysfunction ,Female ,Humans ,Male ,Mental Status and Dementia Tests ,Middle Aged ,Neuropsychological Tests ,Parkinson Disease ,Sensitivity and Specificity ,cognitive impairment ,Mattis Dementia Rating Scale-2 ,Montreal Cognitive Assessment ,Parkinson's disease ,Human Movement and Sports Sciences ,Neurology & Neurosurgery ,Clinical sciences - Abstract
BackgroundClinicians and researchers commonly use global cognitive assessments to screen for impairment. Currently there are no published studies directly comparing the sensitivity and specificity of the Montreal Cognitive Assessment and Mattis Dementia Rating Scale-2 in PD. The objective of this study was to identify the relative sensitivity and specificity of the Montreal Cognitive Assessment and Mattis Dementia Rating Scale-2 in PD.MethodsThe Montreal Cognitive Assessment and Mattis Dementia Rating Scale-2 were administered to training and validation cohorts. Cutoff scores were determined within the training cohort (n = 85) to optimize sensitivity and specificity for cognitive impairment and were applied to an independent validation cohort (n = 521).ResultsThe Montreal Cognitive Assessment was consistently sensitive across training and validation cohorts (90.0% and 80.3%, respectively), whereas the Mattis Dementia Rating Scale-2 was not (87.5% and 60.3%, respectively). In individual domains, the Montreal Cognitive Assessment remained sensitive to memory and visuospatial impairments (91.9% and 87.8%, respectively), whereas the Mattis Dementia Rating Scale-2 was sensitive to executive impairments (86.2%).ConclusionThe Montreal Cognitive Assessment and Mattis Dementia Rating Scale-2 demonstrated individual strengths. Future work should focus on developing domain-specific cognitive screening tools for PD. © 2018 International Parkinson and Movement Disorder Society.
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- 2019
31. Elevated tau in the piriform cortex in Alzheimer's but not Parkinson's disease using MR‐PET.
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Taghavi, Hossein Moein, Karimpoor, Mahta, van Staalduinen, Eric, Leventis, Samantha, Young, Christina B., Carlson, Mackenzie L., Davidzon, Guido A., Romero, America, Trelle, Alexandra N., Zaharchuk, Greg, Vossler, Hillary, Rosenberg, Jarrett, Poston, Kathleen L., Wagner, Anthony D., Henderson, Victor W., Georgiadis, Marios, Mormino, Elizabeth, and Zeineh, Michael
- Abstract
Background: Olfactory deficiency can be present in preclinical Alzheimer's (AD) and Parkinson's disease (PD), predicting their subsequent manifestation, including mild cognitive impairment (MCI). Analyzing key regions within the olfactory circuit could reveal important insights into the neuropathological progression. Dysfunction in the olfactory circuit has been shown in the olfactory nerve in limited postmortem studies, including involvement of a key region, the piriform cortex. FDG‐positron emission tomography (PET) and fMRI have shown differential and reduced piriform cortex metabolism/activation in AD. Thus, the piriform cortex is a promising candidate in the early identification of neurodegenerative pathology underlying olfaction. We used tau MR‐PET to analyze the piriform cortex, in comparison to the adjacent medial temporal lobe. Method: We analyzed 115 subjects: 23 were excluded (incomplete data), leaving 31 amyloid‐negative and 25 amyloid‐positive healthy controls, 8 MCI, 15 AD, and 13 PD. All subjects underwent MR‐PET using tau tracer PI‐2620 with a simultaneous coregistered sagittal T1‐weighted 3D IR‐FSPGR and a simultaneous/recently acquired coronal T2‐weighted FSE. Automatic Segmentation of Hippocampal Subfields was performed, including the entorhinal‐perirhinal cortices (Fig. 1D‐F). Referencing published piriform segmentation guidelines, we manually segmented blind to subject diagnosis the frontal/temporal portions of the piriform cortex (Fig. 1C), including multiple independent quality control checks. As tau distributions appeared non‐normal among the five ordinal patient categories (Amyloid–HC, Amyloid+HC, MCI, AD, Normal PD), we used a nonparametric Jonckheere‐Terpstra test in Stata to test for ordinal increase in tau uptake across four regions bilaterally (whole hippocampus = CA1‐4 + DG + subiculum, entorhinal‐perirhinal, amygdala, and piriform). Result: We found an ordinal increase in piriform tau uptake with increasing disease severity (amyloid‐negative controls, amyloid‐positive controls, MCI and AD) (Figure 2A‐D). Amyloid‐positive controls showed significantly greater uptake than amyloid‐negative controls. Piriform uptake was not elevated in cognitively unimpaired PD compared to Amyloid‐HC. Piriform volume was statistically equivalent across groups, except PD had lower volumes (Figure 2E‐H). Negative correlations were present between memory performance and piriform uptake (Figure 3). Conclusion: Cross‐sectionally, there is an early increase in tau uptake in the piriform cortex in AD but not in PD. [ABSTRACT FROM AUTHOR]
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- 2024
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32. Cognitive Performance in Parkinson’s Disease in the Brain Health Registry
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Cholerton, Brenna, Weiner, Michael W, Nosheny, Rachel L, Poston, Kathleen L, Mackin, R Scott, Tian, Lu, Ashford, J Wesson, and Montine, Thomas J
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Biological Psychology ,Psychology ,Neurodegenerative ,Basic Behavioral and Social Science ,Aging ,Neurosciences ,Clinical Trials and Supportive Activities ,Parkinson's Disease ,Brain Disorders ,Dementia ,Clinical Research ,Behavioral and Social Science ,Acquired Cognitive Impairment ,2.4 Surveillance and distribution ,Aetiology ,Mental health ,Neurological ,Case-Control Studies ,Cognition ,Female ,Humans ,Longitudinal Studies ,Male ,Middle Aged ,Neuropsychological Tests ,Parkinson Disease ,Registries ,cognition ,neuropsychology ,Parkinson's disease ,patient selection ,registries ,Parkinson’s disease ,Clinical Sciences ,Cognitive Sciences ,Neurology & Neurosurgery ,Clinical sciences ,Biological psychology - Abstract
The study of cognition in Parkinson's disease (PD) traditionally requires exhaustive recruitment strategies. The current study examines data collected by the Brain Health Registry (BHR) to determine whether ongoing efforts to improve the recruitment base for therapeutic trials in Alzheimer's disease may be similarly effective for PD research, and whether online cognitive measurements can discriminate between participants who do and do not report a PD diagnosis. Participants enrolled in the BHR (age ≥50) with self-reported PD data and online cognitive testing available were included (n = 11,813). Associations between baseline cognitive variables and diagnostic group were analyzed using logistic regression. Linear mixed effects models were used to analyze longitudinal data. A total of 634 participants reported PD diagnosis at baseline with no self-reported cognitive impairment and completed cognitive testing. Measures of visual learning and memory, processing speed, attention, and working memory discriminated between self-reported PD and non-PD participants after correcting for multiple comparisons (p values
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- 2019
33. Sex differences in progression to mild cognitive impairment and dementia in Parkinson's disease
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Cholerton, Brenna, Johnson, Catherine O, Fish, Brian, Quinn, Joseph F, Chung, Kathryn A, Peterson-Hiller, Amie L, Rosenthal, Liana S, Dawson, Ted M, Albert, Marilyn S, Hu, Shu-Ching, Mata, Ignacio F, Leverenz, James B, Poston, Kathleen L, Montine, Thomas J, Zabetian, Cyrus P, and Edwards, Karen L
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Aging ,Parkinson's Disease ,Neurodegenerative ,Dementia ,Behavioral and Social Science ,Acquired Cognitive Impairment ,Clinical Research ,Alzheimer's Disease ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Brain Disorders ,Neurosciences ,Neurological ,Adult ,Aged ,Aged ,80 and over ,Cognitive Dysfunction ,Disease Progression ,Female ,Humans ,Longitudinal Studies ,Male ,Middle Aged ,Parkinson Disease ,Sex Characteristics ,Sex Factors ,Parkinson's disease ,Cognition ,Mild cognitive impairment ,Sex differences ,Cognitive Sciences ,Neurology & Neurosurgery ,Clinical sciences ,Biological psychology - Abstract
INTRODUCTION:Identification of factors associated with progression of cognitive symptoms in Parkinson's disease (PD) is important for treatment planning, clinical care, and design of future clinical trials. The current study sought to identify whether prediction of cognitive progression is aided by examining baseline cognitive features, and whether this differs according to stage of cognitive disease. METHODS:Participants with PD in the Pacific Udall Center Clinical Consortium who had longitudinal data available and were nondemented at baseline were included in the study (n = 418). Logistic and Cox regression models were utilized to examine the relationship between cognitive, demographic, and clinical variables with risk and time to progression from no cognitive impairment to mild cognitive impairment (PD-MCI) or dementia (PDD), and from PD-MCI to PDD. RESULTS:Processing speed (OR = 1.05, p = 0.009) and working memory (OR = 1.01, p = 0.03) were associated with conversion to PDD among those with PD-MCI at baseline, over and above demographic variables. Conversely, the primary predictive factor in the transition from no cognitive impairment to PD-MCI or PDD was male sex (OR = 4.47, p = 0.004), and males progressed more rapidly than females (p = 0.01). Further, among females with shorter disease duration, progression was slower than for their male counterparts, and poor baseline performance on semantic verbal fluency was associated with shorter time to cognitive impairment in females but not in males. CONCLUSIONS:This study provides evidence for sex differences in the progression to cognitive impairment in PD, while specific cognitive features become more important indicators of progression with impending conversion to PDD.
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- 2018
34. Latent brain state dynamics and cognitive flexibility in older adults
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Lee, Byeongwook, Cai, Weidong, Young, Christina B., Yuan, Rui, Ryman, Sephira, Kim, Jeehyun, Santini, Veronica, Henderson, Victor W., Poston, Kathleen L., and Menon, Vinod
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- 2022
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35. Multimodal deep learning for Alzheimer’s disease dementia assessment
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Qiu, Shangran, Miller, Matthew I., Joshi, Prajakta S., Lee, Joyce C., Xue, Chonghua, Ni, Yunruo, Wang, Yuwei, De Anda-Duran, Ileana, Hwang, Phillip H., Cramer, Justin A., Dwyer, Brigid C., Hao, Honglin, Kaku, Michelle C., Kedar, Sachin, Lee, Peter H., Mian, Asim Z., Murman, Daniel L., O’Shea, Sarah, Paul, Aaron B., Saint-Hilaire, Marie-Helene, Alton Sartor, E., Saxena, Aneeta R., Shih, Ludy C., Small, Juan E., Smith, Maximilian J., Swaminathan, Arun, Takahashi, Courtney E., Taraschenko, Olga, You, Hui, Yuan, Jing, Zhou, Yan, Zhu, Shuhan, Alosco, Michael L., Mez, Jesse, Stein, Thor D., Poston, Kathleen L., Au, Rhoda, and Kolachalama, Vijaya B.
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- 2022
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36. Performance of a fully-automated Lumipulse plasma phospho-tau181 assay for Alzheimer’s disease
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Wilson, Edward N., Young, Christina B., Ramos Benitez, Javier, Swarovski, Michelle S., Feinstein, Igor, Vandijck, Manu, Le Guen, Yann, Kasireddy, Nandita M., Shahid, Marian, Corso, Nicole K., Wang, Qian, Kennedy, Gabriel, Trelle, Alexandra N., Lind, Betty, Channappa, Divya, Belnap, Malia, Ramirez, Veronica, Skylar-Scott, Irina, Younes, Kyan, Yutsis, Maya V., Le Bastard, Nathalie, Quinn, Joseph F., van Dyck, Christopher H., Nairn, Angus, Fredericks, Carolyn A., Tian, Lu, Kerchner, Geoffrey A., Montine, Thomas J., Sha, Sharon J., Davidzon, Guido, Henderson, Victor W., Longo, Frank M., Greicius, Michael D., Wagner, Anthony D., Wyss-Coray, Tony, Poston, Kathleen L., Mormino, Elizabeth C., and Andreasson, Katrin I.
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- 2022
- Full Text
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37. Low soluble amyloid-β 42 is associated with smaller brain volume in Parkinson's disease
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Espay, Alberto J., Lafontant, David-Erick, Poston, Kathleen L., Caspell-Garcia, Chelsea, Marsili, Luca, Cho, Hyunkeun Ryan, McDaniel, Colin, Kim, Nessa, Coffey, Christopher S., Mahajan, Abhimanyu, Ezzat, Kariem, and Sturchio, Andrea
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- 2021
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38. Influence of common reference regions on regional tau patterns in cross-sectional and longitudinal [18F]-AV-1451 PET data
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Young, Christina B., Landau, Susan M., Harrison, Theresa M., Poston, Kathleen L., and Mormino, Elizabeth C.
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- 2021
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39. Quantifying Parkinson’s disease motor severity under uncertainty using MDS-UPDRS videos
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Lu, Mandy, Zhao, Qingyu, Poston, Kathleen L., Sullivan, Edith V., Pfefferbaum, Adolf, Shahid, Marian, Katz, Maya, Montaser-Kouhsari, Leila, Schulman, Kevin, Milstein, Arnold, Niebles, Juan Carlos, Henderson, Victor W., Fei-Fei, Li, Pohl, Kilian M., and Adeli, Ehsan
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- 2021
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40. High cerebrospinal amyloid-β 42 is associated with normal cognition in individuals with brain amyloidosis
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Sturchio, Andrea, Dwivedi, Alok K., Young, Christina B., Malm, Tarja, Marsili, Luca, Sharma, Jennifer S., Mahajan, Abhimanyu, Hill, Emily J., Andaloussi, Samir EL, Poston, Kathleen L., Manfredsson, Fredric P., Schneider, Lon S., Ezzat, Kariem, and Espay, Alberto J.
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- 2021
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41. Neuropathological correlation supports automated image-based differential diagnosis in parkinsonism
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Schindlbeck, Katharina A., Gupta, Deepak K., Tang, Chris C., O’Shea, Sarah A., Poston, Kathleen L., Choi, Yoon Young, Dhawan, Vijay, Vonsattel, Jean-Paul, Fahn, Stanley, and Eidelberg, David
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- 2021
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42. Cognitive impairment in Parkinson's disease is associated with Default Mode Network subsystem connectivity and cerebrospinal fluid Aβ
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Zarifkar, Pardis, Kim, Jeehyun, La, Christian, Zhang, Kai, YorkWilliams, Sophie, Levine, Taylor F., Tian, Lu, Borghammer, Per, and Poston, Kathleen L.
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- 2021
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43. Neuroimaging approaches to cognition in Parkinson's disease
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Montaser-Kouhsari, Leila, primary, Young, Christina B., additional, and Poston, Kathleen L., additional
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- 2022
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44. GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation
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Endo, Mark, primary, Poston, Kathleen L., additional, Sullivan, Edith V., additional, Fei-Fei, Li, additional, Pohl, Kilian M., additional, and Adeli, Ehsan, additional
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- 2022
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45. Alterations of Brain Signal Oscillations in Older Individuals with HIV Infection and Parkinson’s Disease
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Müller-Oehring, Eva M., Hong, Jui-Yang, Hughes, Rachel L., Kwon, Dongjin, Brontë-Stewart, Helen M., Poston, Kathleen L., and Schulte, Tilman
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- 2021
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46. Plasma pTau181 Reveals a Pathological Signature that Predicts Cognitive Outcomes in Lewy Body Disease.
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Abdelnour, Carla, Young, Christina B., Shahid‐Besanti, Marian, Smith, Alena, Wilson, Edward N., Ramos Benitez, Javier, Vossler, Hillary, Plastini, Melanie J., Winer, Joseph R., Kerchner, Geoffrey A., Cholerton, Brenna, Andreasson, Katrin I., Henderson, Victor W., Yutsis, Maya, Montine, Thomas J., Tian, Lu, Mormino, Elizabeth C., and Poston, Kathleen L.
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RECEIVER operating characteristic curves ,ALZHEIMER'S disease ,COGNITION disorders ,DISEASE progression ,AMYLOIDOSIS - Abstract
Objective: To determine whether plasma phosphorylated‐Tau181 (pTau181) could be used as a diagnostic biomarker of concurrent Alzheimer's disease neuropathologic change (ADNC) or amyloidosis alone, as well as a prognostic, monitoring, and susceptibility/risk biomarker for clinical outcomes in Lewy body disease (LBD). Methods: We studied 565 participants: 94 LBD with normal cognition, 83 LBD with abnormal cognition, 114 with Alzheimer's disease, and 274 cognitively normal. Plasma pTau181 levels were measured with the Lumipulse G platform. Diagnostic accuracy for concurrent ADNC and amyloidosis was assessed with Receiver Operating Characteristic curves in a subset of participants with CSF pTau181/Aβ42, and CSF Aβ42/Aβ40 or amyloid‐β PET, respectively. Linear mixed effects models were used to examine the associations between baseline and longitudinal plasma pTau181 levels and clinical outcomes. Results: Plasma pTau181 predicted concurrent ADNC and amyloidosis in LBD with abnormal cognition with 87% and 72% accuracy, respectively. In LBD patients with abnormal cognition, higher baseline plasma pTau181 was associated with worse baseline MoCA and CDR‐SB, as well as accelerated decline in CDR‐SB. Additionally, in this group, rapid increases in plasma pTau181 over 3 years predicted a faster decline in CDR‐SB and memory. In LBD patients with normal cognition, there was no association between baseline or longitudinal plasma pTau181 levels and clinical outcomes; however, elevated pTau181 at baseline increased the risk of conversion to cognitive impairment. Interpretation: Our findings suggest that plasma pTau181 is a promising biomarker for concurrent ADNC and amyloidosis in LBD. Furthermore, plasma pTau181 holds potential as a prognostic, monitoring, and susceptibility/risk biomarker, predicting disease progression in LBD. ANN NEUROL 2024;96:526–538 [ABSTRACT FROM AUTHOR]
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- 2024
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47. Florbetaben amyloid PET acquisition time: Influence on Centiloids and interpretation.
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Johns, Emily, Vossler, Hillary A., Young, Christina B., Carlson, Mackenzie L., Winer, Joseph R., Younes, Kyan, Park, Jennifer, Rathmann‐Bloch, Julia, Smith, Viktorija, Harrison, Theresa M., Landau, Susan, Henderson, Victor, Wagner, Anthony, Sha, Sharon J., Zeineh, Michael, Zaharchuk, Greg, Poston, Kathleen L., Davidzon, Guido A., and Mormino, Elizabeth C.
- Abstract
INTRODUCTION: Amyloid positron emission tomography (PET) acquisition timing impacts quantification. METHODS: In florbetaben (FBB) PET scans of 245 adults with and without cognitive impairment, we investigated the impact of post‐injection acquisition time on Centiloids (CLs) across five reference regions. CL equations for FBB were derived using standard methods, using FBB data collected between 90 and 110 min with paired Pittsburgh compound B data. Linear mixed models and t‐tests evaluated the impact of acquisition time on CL increases. RESULTS: CL values increased significantly over the scan using the whole cerebellum, cerebellar gray matter, and brainstem as reference regions, particularly in amyloid‐positive individuals. In contrast, CLs based on white matter–containing reference regions decreased across the scan. DISCUSSION: The quantification of CLs in FBB PET imaging is influenced by both the overall scan acquisition time and the choice of reference region. Standardized acquisition protocols or the application of acquisition time–specific CL equations should be implemented in clinical protocols. Highlights: Acquisition timing affects florbetaben positron emission tomography (PET) scan quantification, especially in amyloid‐positive participants.The impact of acquisition timing on quantification varies across common reference regions.Consistent acquisitions and/or appropriate post‐injection adjustments are needed to ensure comparability of PET data. [ABSTRACT FROM AUTHOR]
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- 2024
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48. MRI biomarkers of motor and non-motor symptoms in Parkinson's disease
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Ryman, Sephira G. and Poston, Kathleen L.
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- 2020
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49. Plasma pTau181 reveals a pathological signature that predicts cognitive outcomes in Lewy body disease
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Abdelnour, Carla, primary, Young, Christina B., additional, Shahid-Besanti, Marian, additional, Smith, Alena, additional, Wilson, Edward N., additional, Ramos Benitez, Javier, additional, Vossler, Hillary, additional, Plastini, Melanie J., additional, Winer, Joseph R., additional, Kerchner, Geoffrey A., additional, Cholerton, Brenna, additional, Andreasson, Katrin I., additional, Henderson, Victor W., additional, Yutsis, Maya, additional, Montine, Thomas J., additional, Tian, Lu, additional, Mormino, Elizabeth C., additional, and Poston, Kathleen L., additional
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- 2024
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50. Multiple biomarkers improve diagnostic accuracy across Lewy body and Alzheimer's disease spectra
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Plastini, Melanie J., primary, Abdelnour, Carla, additional, Young, Christina B., additional, Wilson, Edward N., additional, Shahid‐Besanti, Marian, additional, Lamoureux, Jennifer, additional, Andreasson, Katrin I., additional, Kerchner, Geoffrey A., additional, Montine, Thomas J., additional, Henderson, Victor W., additional, and Poston, Kathleen L., additional
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- 2024
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