TY - JOUR
T1 - Accelerated functional brain aging in pre-clinical familial Alzheimer's disease
AU - Alzheimer’s Disease Neuroimaging Initiative (ADNI)
AU - Dominantly Inherited Alzheimer Network (DIAN) Study Group
AU - Pre-symptomatic Evaluation of Experimental or Novel Treatments for Alzheimer’s Disease (PREVENT-AD) Research Group
AU - Gonneaud, Julie
AU - Baria, Alex T.
AU - Pichet Binette, Alexa
AU - Gordon, Brian
AU - Chhatwal, Jasmeer P.
AU - Cruchaga, Carlos
AU - Jucker, Mathias
AU - Levin, Johannes
AU - Salloway, Stephen
AU - Farlow, Martin
AU - Gauthier, Serge
AU - Benzinger, Tammie L.S.
AU - Morris, John
AU - Bateman, Randall J.
AU - Breitner, John C.S.
AU - Poirier, Judes
AU - Vachon-Presseau, Etienne
AU - Villeneuve, Sylvia
N1 - Publisher Copyright:
© 2021. The Author(s).
PY - 2021/9/9
Y1 - 2021/9/9
N2 - Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18-94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.
AB - Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18-94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.
UR - http://www.scopus.com/inward/record.url?scp=85115969502&partnerID=8YFLogxK
U2 - 10.1038/s41467-021-25492-9
DO - 10.1038/s41467-021-25492-9
M3 - Article
C2 - 34504080
AN - SCOPUS:85115969502
SN - 2041-1723
VL - 12
SP - 5346
JO - Nature Communications
JF - Nature Communications
IS - 1
ER -