APA
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Setton, R., Mwilambwe-Tshilobo, L., Girn, M., Lockrow, A. W., Baracchini, G., Hughes, C., … Spreng, R. N. (2022). Age differences in the functional architecture of the human brain. BioRxiv.
Chicago/Turabian
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Setton, Roni, Laetitia Mwilambwe-Tshilobo, M. Girn, Amber W. Lockrow, Giulia Baracchini, Colleen Hughes, Alexander J. Lowe, et al. “Age Differences in the Functional Architecture of the Human Brain.” bioRxiv (2022).
MLA
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Setton, Roni, et al. “Age Differences in the Functional Architecture of the Human Brain.” BioRxiv, 2022.
BibTeX Click to copy
@article{roni2022a,
title = {Age differences in the functional architecture of the human brain},
year = {2022},
journal = {bioRxiv},
author = {Setton, Roni and Mwilambwe-Tshilobo, Laetitia and Girn, M. and Lockrow, Amber W. and Baracchini, Giulia and Hughes, Colleen and Lowe, Alexander J. and Cassidy, Benjamin N. and Li, Jian and Luh, W. and Bzdok, D. and Leahy, R. and Ge, T. and Margulies, D. and Mišić, B. and Bernhardt, B. and Stevens, W. and Brigard, Felipe De and Kundu, P. and Turner, G. and Spreng, R. N.}
}
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 multi-method strategy to interrogate dedifferentiation at multiple spatial scales. Multi-echo (ME) resting-state fMRI was collected in younger (n=181) and older (n=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 multi-scale, multi-method approaches to characterize the architecture of functional brain aging.