Literature DB >> 35231927

Age differences in the functional architecture of the human brain.

Roni Setton1, Laetitia Mwilambwe-Tshilobo1, Manesh Girn1, Amber W Lockrow1, Giulia Baracchini1, Colleen Hughes1, Alexander J Lowe2, Benjamin N Cassidy3, Jian Li4,5, Wen-Ming Luh6, Danilo Bzdok1,7,8,9,10, Richard M Leahy11, Tian Ge12, Daniel S Margulies13, Bratislav Misic1,8, Boris C Bernhardt1,8, W Dale Stevens14, Felipe De Brigard15,16, Prantik Kundu17, Gary R Turner14, R Nathan Spreng1,8,18,19.   

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 (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 multiscale, multimethod approaches to characterize the architecture of functional brain aging.
© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  connectivity; gradients; multi-echo fMRI; network neuroscience; parcellation

Year:  2022        PMID: 35231927     DOI: 10.1093/cercor/bhac056

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  4 in total

1.  Temporal pole volume is associated with episodic autobiographical memory in healthy older adults.

Authors:  Roni Setton; Signy Sheldon; Gary R Turner; R Nathan Spreng
Journal:  Hippocampus       Date:  2022-03-05       Impact factor: 3.899

2.  Hippocampus and temporal pole functional connectivity is associated with age and individual differences in autobiographical memory.

Authors:  Roni Setton; Laetitia Mwilambwe-Tshilobo; Signy Sheldon; Gary R Turner; R Nathan Spreng
Journal:  Proc Natl Acad Sci U S A       Date:  2022-10-03       Impact factor: 12.779

3.  Age differences in intuitive moral decision-making: Associations with inter-network neural connectivity.

Authors:  Shenyang Huang; Leonard Faul; Gunes Sevinc; Laetitia Mwilambwe-Tshilobo; Roni Setton; Amber W Lockrow; Natalie C Ebner; Gary R Turner; R Nathan Spreng; Felipe De Brigard
Journal:  Psychol Aging       Date:  2021-09-02

4.  Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures.

Authors:  R Nathan Spreng; Roni Setton; Udi Alter; Benjamin N Cassidy; Bri Darboh; Elizabeth DuPre; Karin Kantarovich; Amber W Lockrow; Laetitia Mwilambwe-Tshilobo; Wen-Ming Luh; Prantik Kundu; Gary R Turner
Journal:  Sci Data       Date:  2022-03-29       Impact factor: 6.444

  4 in total

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