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Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease

Gonneaud, J; Baria, AT; Pichet Binette, A; Gordon, BA; Chhatwal, JP; Cruchaga, C; Jucker, M; ... Carter, R; + view all (2021) Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease. Nature Communications , 12 (1) , Article 5346. 10.1038/s41467-021-25492-9. Green open access

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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.

Type: Article
Title: Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41467-021-25492-9
Publisher version: https://doi.org/10.1038/s41467-021-25492-9
Language: English
Additional information: Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Adult, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Amyloid beta-Peptides, Brain, Brain Mapping, Cognitive Dysfunction, Female, Genetic Predisposition to Disease, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Mutation, Positron-Emission Tomography, Young Adult
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/10171325
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