biostudies-literatureUnknownPan YNIBIB NIH HHSNIDA NIH HHSNIA NIH HHSNIMH NIH HHSNINDS NIH HHSNIH HHSThe 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 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 permutation test p-values <0.001) that showed a decline in resting-state functional connectivity (rsFC) with increasing age. The first network primarily comprises sensorimotor and dorsal/ventral attention regions from precentral gyrus, postcentral gyrus, superior temporal gyrus, and insular gyrus, while the second network is exclusively composed of basal ganglia regions, namely the caudate, putamen, and globus pallidus. Path analysis indicates that white matter fractional anisotropy mediates 19.6% (p<0.001, 95% CI [7.6% 36.0%]) and 11.5% (p<0.001, 95% CI [6.3% 17.0%]) of the age-related decrease in both networks, respectively. The total volume of white matter hyperintensity mediates 32.1% (p<0.001, 95% CI [16.8% 53.0%]) of the aging-related effect on rsFC in the first subnetwork.bioRxiv : the preprint server for biology2024.05.17.594743https://www.ebi.ac.uk/biostudies/studies/S-EPMC11118564biostudies-literatureBrain-wide functional connectome analysis of 40,000 individuals reveals brain networks that show aging effects in older adults.PMC11118564U01 MH108148S10 OD023696R01 NS114628RF1 NS114628R01 MH116948DP1 DA048968RF1 MH123163R01 EB015611K01 DA059603P30 AG028747Pan YMa YLee HLiu SYu JChen CMa TKochunov PShardell MYe ZNichols THong LELi YYang YBi CMcCoy RGLu TChen SWang ZSmith JCGao SfalseBrain-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 associated with aging from resting-state 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 permutation test p-values <0.001) that showed a decline in resting-state functional connectivity (rsFC) with increasing age. The first network primarily comprises sensorimotor and dorsal/ventral attention regions from precentral gyrus, postcentral gyrus, superior temporal gyrus, and insular gyrus, while the second network is exclusively composed of basal ganglia regions, namely the caudate, putamen, and globus pallidus. Path analysis indicates that white matter fractional anisotropy mediates 19.6% (p<0.001, 95% CI [7.6% 36.0%]) and 11.5% (p<0.001, 95% CI [6.3% 17.0%]) of the age-related decrease in both networks, respectively. The total volume of white matter hyperintensity mediates 32.1% (p<0.001, 95% CI [16.8% 53.0%]) of the aging-related effect on rsFC in the first subnetwork.2024-01-01T00:00:00Z2024 May2026-05-29T03:11:24.026Z2026-05-29T03:06:14.921ZS-EPMC111185643879860610.1101/2024.05.17.594743