Fallon John, Ward Phillip G D, Parkes Linden, Oldham Stuart, Arnatkevičiūtė Aurina, Fornito Alex, Fulcher Ben D
Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Victoria, Australia.
Australian Research Council Centre of Excellence for Integrative Brain Function, Melbourne, Australia.
Netw Neurosci. 2020 Sep 1;4(3):788-806. doi: 10.1162/netn_a_00151. eCollection 2020.
Intrinsic timescales of activity fluctuations vary hierarchically across the brain. This variation reflects a broad gradient of functional specialization in information storage and processing, with integrative association areas displaying slower timescales that are thought to reflect longer temporal processing windows. The organization of timescales is associated with cognitive function, distinctive between individuals, and disrupted in disease, but we do not yet understand how the temporal properties of activity dynamics are shaped by the brain's underlying structural connectivity network. Using resting-state fMRI and diffusion MRI data from 100 healthy individuals from the Human Connectome Project, here we show that the timescale of resting-state fMRI dynamics increases with structural connectivity strength, matching recent results in the mouse brain. Our results hold at the level of individuals, are robust to parcellation schemes, and are conserved across a range of different timescale- related statistics. We establish a comprehensive BOLD dynamical signature of structural connectivity strength by comparing over 6,000 time series features, highlighting a range of new temporal features for characterizing BOLD dynamics, including measures of stationarity and symbolic motif frequencies. Our findings indicate a conserved property of mouse and human brain organization in which a brain region's spontaneous activity fluctuations are closely related to their surrounding structural scaffold.
大脑活动波动的固有时间尺度在整个大脑中呈层次变化。这种变化反映了信息存储和处理中功能特化的广泛梯度,整合联合区域显示出较慢的时间尺度,这被认为反映了更长的时间处理窗口。时间尺度的组织与认知功能相关,在个体之间存在差异,并且在疾病中会受到破坏,但我们尚未了解活动动态的时间特性是如何由大脑潜在的结构连接网络塑造的。利用来自人类连接组计划的100名健康个体的静息态功能磁共振成像和扩散磁共振成像数据,我们在此表明静息态功能磁共振成像动态的时间尺度随结构连接强度增加,这与最近在小鼠大脑中的结果相符。我们的结果在个体层面成立,对脑区划分方案具有鲁棒性,并且在一系列不同的与时间尺度相关的统计中都是一致的。通过比较6000多个时间序列特征,我们建立了结构连接强度的全面血氧水平依赖(BOLD)动态特征,突出了一系列用于表征BOLD动态的新时间特征,包括平稳性度量和符号基序频率。我们的发现表明小鼠和人类大脑组织具有一种保守特性,即大脑区域的自发活动波动与其周围的结构支架密切相关。