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Age differences in the functional architecture of the human brain.

Authors :
Setton R
Mwilambwe-Tshilobo L
Girn M
Lockrow AW
Baracchini G
Hughes C
Lowe AJ
Cassidy BN
Li J
Luh WM
Bzdok D
Leahy RM
Ge T
Margulies DS
Misic B
Bernhardt BC
Stevens WD
De Brigard F
Kundu P
Turner GR
Spreng RN
Source :
Cerebral cortex (New York, N.Y. : 1991) [Cereb Cortex] 2022 Dec 15; Vol. 33 (1), pp. 114-134.
Publication Year :
2022

Abstract

The intrinsic functional organization of the brain changes into older adulthood. Age differences are observed at multiple spatial scales, from global reductions in modularity and segregation of distributed brain systems, to network-specific patterns of dedifferentiation. Whether dedifferentiation reflects an inevitable, global shift in brain function with age, circumscribed, experience-dependent changes, or both, is uncertain. We employed a multimethod strategy to interrogate dedifferentiation at multiple spatial scales. Multi-echo (ME) resting-state fMRI was collected in younger (nā€‰=ā€‰181) and older (nā€‰=ā€‰120) healthy adults. Cortical parcellation sensitive to individual variation was implemented for precision functional mapping of each participant while preserving group-level parcel and network labels. ME-fMRI processing and gradient mapping identified global and macroscale network differences. Multivariate functional connectivity methods tested for microscale, edge-level differences. Older adults had lower BOLD signal dimensionality, consistent with global network dedifferentiation. Gradients were largely age-invariant. Edge-level analyses revealed discrete, network-specific dedifferentiation patterns in older adults. Visual and somatosensory regions were more integrated within the functional connectome; default and frontoparietal control network regions showed greater connectivity; and the dorsal attention network was more integrated with heteromodal regions. These findings highlight the importance of multiscale, multimethod approaches to characterize the architecture of functional brain aging.<br /> (© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.)

Details

Language :
English
ISSN :
1460-2199
Volume :
33
Issue :
1
Database :
MEDLINE
Journal :
Cerebral cortex (New York, N.Y. : 1991)
Publication Type :
Academic Journal
Accession number :
35231927
Full Text :
https://doi.org/10.1093/cercor/bhac056