Identifying longitudinal cognitive resilience from cross-sectional amyloid, tau, and neurodegeneration

Abstract Background Leveraging Alzheimer’s disease (AD) imaging biomarkers and longitudinal cognitive data may allow us to establish evidence of cognitive resilience (CR) to AD pathology in-vivo. Here, we applied latent class mixture modeling, adjusting for sex, baseline age, and neuroimaging biomar...

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Principais autores:	Rory Boyle, Diana L. Townsend, Hannah M. Klinger, Catherine E. Scanlon, Ziwen Yuan, Gillian T. Coughlan, Mabel Seto, Zahra Shirzadi, Wai-Ying Wendy Yau, Roos J. Jutten, Christoph Schneider, Michelle E. Farrell, Bernard J. Hanseeuw, Elizabeth C. Mormino, Hyun-Sik Yang, Kathryn V. Papp, Rebecca E. Amariglio, Heidi I. L. Jacobs, Julie C. Price, Jasmeer P. Chhatwal, Aaron P. Schultz, Michael J. Properzi, Dorene M. Rentz, Keith A. Johnson, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley, for the Alzheimer’s Disease Neuroimaging Initiative
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2024-07-01
Series:	Alzheimer’s Research & Therapy
Assuntos:	Longitudinal analysis Alzheimer’s disease Amyloid Tau PET MRI
Acceso en liña:	https://doi.org/10.1186/s13195-024-01510-y
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