Age differences in the functional architecture of the human brain

连接体 神经科学 人类连接体项目 模块化(生物学) 人脑 默认模式网络 体感系统 功能连接 心理学 静息状态功能磁共振成像 功能磁共振成像 神经网络 大脑定位 生物 进化生物学
作者
Roni Setton,Laetitia Mwilambwe-Tshilobo,Manesh Girn,Amber W. Lockrow,Giulia Baracchini,Colleen Hughes,Alexander R. Lowe,Benjamin Cassidy,Jian Li,Wen-Ming Luh,Danilo Bzdok,Richard M. Leahy,Tian Ge,Daniel S. Margulies,Bratislav Misic,Boris C. Bernhardt,W. Dale Stevens,Felipe De Brigard,Prantik Kundu,Gary R. Turner,R. Nathan Spreng
出处
期刊:Cerebral Cortex [Oxford University Press]
卷期号:33 (1): 114-134 被引量:19
标识
DOI:10.1093/cercor/bhac056
摘要

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.

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