Brain-wide functional connectome analysis of 40,000 individuals reveals brain networks that show aging effects in older adults

The functional connectome changes with aging. We systematically evaluated aging-related alterations in the functional connectome using a whole-brain connectome network analysis in 39,675 participants in UK Biobank project. We used adaptive dense network discovery tools to identify networks directly...

Full description

Saved in:
Bibliographic Details
Published in:Imaging neuroscience (Cambridge, Mass.) Mass.), 2024-12, Vol.2, p.1-15
Main Authors: Pan, Yezhi, Bi, Chuan, Kochunov, Peter, Shardell, Michelle, Smith, J. Carson, McCoy, Rozalina G., Ye, Zhenyao, Yu, Jiaao, Lu, Tong, Yang, Yifan, Lee, Hwiyoung, Liu, Song, Gao, Si, Ma, Yizhou, Li, Yiran, Chen, Chixiang, Ma, Tianzhou, Wang, Ze, Nichols, Thomas, Hong, L. Elliot, Chen, Shuo
Format: Article
Language:English
Subjects:
aging brain
functional connectome
network analysis
replicability
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The functional connectome changes with aging. We systematically evaluated aging-related alterations in the functional connectome using a whole-brain connectome network analysis in 39,675 participants in UK Biobank project. We used adaptive dense network discovery tools to identify networks directly associated with aging from resting-state functional magnetic resonance imaging (fMRI) data. We replicated our findings in 499 participants from the Lifespan Human Connectome Project in Aging study. The results consistently revealed two motor-related subnetworks (both with permutation test p-values
ISSN:2837-6056
DOI:10.1162/imag_a_00394