Accelerated functional brain aging in pre-clinical familial Alzheimer's disease.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 34504080.
- Also identified by DOI 10.1038/s41467-021-25492-9 and PMC identifier 8429427.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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.
Medical subject headings
- Aging
- Alzheimer Disease
- Amyloid beta-Peptides
- Brain
- Cognitive Dysfunction