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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Bibliografische gegevens

Hoofdauteurs:	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
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMC 2024-07-01
Reeks:	Alzheimer’s Research & Therapy
Onderwerpen:	Longitudinal analysis Alzheimer’s disease Amyloid Tau PET MRI
Online toegang:	https://doi.org/10.1186/s13195-024-01510-y
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