From regions to connections and networks: new bridges between brain and behavior

被引：167

作者：

Misic, Bratislav ^{[1
,2
]}

Sporns, Olaf ^{[2
,3
]}

机构：

[1] McGill Univ, Montreal Neurol Inst & Hosp, Montreal, PQ H3A 2B4, Canada

[2] Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA

[3] Indiana Univ, Network Sci Inst, Bloomington, IN 47405 USA

来源：

CURRENT OPINION IN NEUROBIOLOGY | 2016年 / 40卷

基金：

美国国家卫生研究院; 美国国家科学基金会; 加拿大自然科学与工程研究理事会;

关键词：

FUNCTIONAL CONNECTIVITY; NEUROIMAGING DATA; NUCLEUS-ACCUMBENS; DISCOVERY SCIENCE; TASK CONTROL; BIG DATA; NEUROSCIENCE; ARCHITECTURE; COGNITION; PATTERNS;

D O I：

10.1016/j.conb.2016.05.003

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

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.

引用

页码：1 / 7

页数：7

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