Mišić Bratislav, Sporns Olaf
Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada H3A 2B4; Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA.
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA; Network Science Institute, Indiana University, Bloomington, IN 47405, USA.
Curr Opin Neurobiol. 2016 Oct;40:1-7. doi: 10.1016/j.conb.2016.05.003. Epub 2016 May 19.
Connections and interactions among distributed brain areas are increasingly recognized as the basis for cognitive operations and a diverse repertoire of behaviors. Analytic advances have allowed for brain connectivity to be represented and quantified at multiple levels: from single connections to communities and networks. This review traces the trajectory of network neuroscience, focusing on how connectivity patterns can be related to cognition and behavior. As recent initiatives for open science provide access to imaging and phenotypic data with great detail and depth, we argue that approaches capable of directly modeling multivariate relationships between brain and behavior will become increasingly important in the field.
分布式脑区之间的连接和相互作用日益被视为认知操作和多样行为表现的基础。分析方法的进步使得脑连接能够在多个层面上得到表征和量化:从单个连接到群落和网络。本综述追溯了网络神经科学的发展轨迹,重点关注连接模式如何与认知和行为相关联。鉴于近期开放科学倡议提供了具有高细节和深度的成像及表型数据,我们认为能够直接对脑与行为之间的多变量关系进行建模的方法在该领域将变得越发重要。