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Relationship between MRI brain-age heterogeneity, cognition, genetics and Alzheimer’s disease neuropathologyResearch in context

Authors :
Mathilde Antoniades
Dhivya Srinivasan
Junhao Wen
Guray Erus
Ahmed Abdulkadir
Elizabeth Mamourian
Randa Melhem
Gyujoon Hwang
Yuhan Cui
Sindhuja Tirumalai Govindarajan
Andrew A. Chen
Zhen Zhou
Zhijian Yang
Jiong Chen
Raymond Pomponio
Susan Sotardi
Yang An
Murat Bilgel
Pamela LaMontagne
Ashish Singh
Tammie Benzinger
Lori Beason-Held
Daniel S. Marcus
Kristine Yaffe
Lenore Launer
John C. Morris
Duygu Tosun
Luigi Ferrucci
R. Nick Bryan
Susan M. Resnick
Mohamad Habes
David Wolk
Yong Fan
Ilya M. Nasrallah
Haochang Shou
Christos Davatzikos
Source :
EBioMedicine, Vol 109, Iss , Pp 105399- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Summary: Background: Brain ageing is highly heterogeneous, as it is driven by a variety of normal and neuropathological processes. These processes may differentially affect structural and functional brain ageing across individuals, with more pronounced ageing (older brain age) during midlife being indicative of later development of dementia. Here, we examined whether brain-ageing heterogeneity in unimpaired older adults related to neurodegeneration, different cognitive trajectories, genetic and amyloid-beta (Aβ) profiles, and to predicted progression to Alzheimer’s disease (AD). Methods: Functional and structural brain age measures were obtained for resting-state functional MRI and structural MRI, respectively, in 3460 cognitively normal individuals across an age range spanning 42–85 years. Participants were categorised into four groups based on the difference between their chronological and predicted age in each modality: advanced age in both (n = 291), resilient in both (n = 260) or advanced in one/resilient in the other (n = 163/153). With the resilient group as the reference, brain-age groups were compared across neuroimaging features of neuropathology (white matter hyperintensity volume, neuronal loss measured with Neurite Orientation Dispersion and Density Imaging, AD-specific atrophy patterns measured with the Spatial Patterns of Abnormality for Recognition of Early Alzheimer’s Disease index, amyloid burden using amyloid positron emission tomography (PET), progression to mild cognitive impairment and baseline and longitudinal cognitive measures (trail making task, mini mental state examination, digit symbol substitution task). Findings: Individuals with advanced structural and functional brain-ages had more features indicative of neurodegeneration and they had poor cognition. Individuals with a resilient brain-age in both modalities had a genetic variant that has been shown to be associated with age of onset of AD. Mixed brain-age was associated with selective cognitive deficits. Interpretation: The advanced group displayed evidence of increased atrophy across all neuroimaging features that was not found in either of the mixed groups. This is in line with biomarkers of preclinical AD and cerebrovascular disease. These findings suggest that the variation in structural and functional brain ageing across individuals reflects the degree of underlying neuropathological processes and may indicate the propensity to develop dementia in later life. Funding: The National Institute on Aging, the National Institutes of Health, the Swiss National Science Foundation, the Kaiser Foundation Research Institute and the National Heart, Lung, and Blood Institute.

Details

Language :
English
ISSN :
23523964
Volume :
109
Issue :
105399-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.782b783c1fc740c68d12c609c91452e4
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2024.105399