Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Department of CSEE, University of Maryland Baltimore County, Baltimore, MD 21250, USA.
Trends Cogn Sci. 2020 Feb;24(2):135-149. doi: 10.1016/j.tics.2019.12.004. Epub 2020 Jan 23.
There has been growing interest in studying the temporal reconfiguration of brain functional connectivity to understand the role of dynamic interaction (e.g., integration and segregation) among neuronal populations in cognitive functions. However, it is crucial to differentiate between various dynamic properties because nearly all existing dynamic connectivity studies are presented as spatiotemporally dynamic, even though they fall into different categories. As a result, variation in the spatial patterns of functional structures are not well characterized. Here, we present the concepts of spatially, temporally, and spatiotemporally dynamics and use this terminology to categorize existing approaches. We review current spatially dynamic connectivity work, emphasizing that explicit incorporation of space into dynamic analyses can expand our understanding of brain function and disorder.
人们越来越感兴趣于研究大脑功能连接的时间重构，以理解神经元群体在认知功能中的动态相互作用（例如，整合和分离）的作用。然而，区分各种动态特性至关重要，因为几乎所有现有的动态连接研究都被呈现为时空动态的，即使它们属于不同的类别。因此，功能结构的空间模式变化没有得到很好的描述。在这里，我们提出了空间、时间和时空动态的概念，并使用该术语对现有方法进行分类。我们回顾了当前的空间动态连接工作，强调将空间明确纳入动态分析可以扩展我们对大脑功能和障碍的理解。
