Department of Psychology, University of California, Berkeley, California, USA.
Department of Biomedical Informatics University of Pittsburgh School of Medicine Pittsburgh, Pennsylvania, USA.
Hum Brain Mapp. 2024 Feb 1;45(2):e26587. doi: 10.1002/hbm.26587.
Recent years have seen growing interest in characterizing the properties of regional brain dynamics and their relationship to other features of brain structure and function. In particular, multiple studies have observed regional differences in the "timescale" over which activity fluctuates during periods of quiet rest. In the cerebral cortex, these timescales have been associated with both local circuit properties as well as patterns of inter-regional connectivity, including the extent to which each region exhibits widespread connectivity to other brain areas. In the current study, we build on prior observations of an association between connectivity and dynamics in the cerebral cortex by investigating the relationship between BOLD fMRI timescales and the modular organization of structural and functional brain networks. We characterize network community structure across multiple scales and find that longer timescales are associated with greater within-community functional connectivity and diverse structural connectivity. We also replicate prior observations of a positive correlation between timescales and structural connectivity degree. Finally, we find evidence for preferential functional connectivity between cortical areas with similar timescales. We replicate these findings in an independent dataset. These results contribute to our understanding of functional brain organization and structure-function relationships in the human brain, and support the notion that regional differences in cortical dynamics may in part reflect the topological role of each region within macroscale brain networks.
近年来,人们越来越关注描述区域大脑动力学特性及其与大脑结构和功能其他特征之间关系。特别是,多项研究观察到在静息状态期间活动波动的“时间尺度”方面存在区域差异。在大脑皮层中,这些时间尺度与局部回路特性以及区域间连接模式有关,包括每个区域与其他大脑区域之间存在广泛连接的程度。在本研究中,我们通过研究 BOLD fMRI 时间尺度与结构和功能脑网络的模块化组织之间的关系,基于先前观察到的大脑皮层中连接和动力学之间的关联,进一步深入探讨。我们在多个尺度上描述了网络社区结构,并发现较长的时间尺度与更大的社区内功能连接和多样化的结构连接有关。我们还复制了先前观察到的时间尺度与结构连接程度之间存在正相关关系的发现。最后,我们发现具有相似时间尺度的皮质区域之间存在优先的功能连接的证据。我们在独立数据集上复制了这些发现。这些结果有助于我们理解人类大脑的功能组织和结构-功能关系,并支持这样一种观点,即皮质动力学的区域差异可能在一定程度上反映了每个区域在宏观脑网络中的拓扑作用。