Large-scale brain networks in cognition: emerging methods and principles

被引:1532
|
作者
Bressler, Steven L. [1 ]
Menon, Vinod [2 ,3 ]
机构
[1] Florida Atlantic Univ, Ctr Complex Syst & Brain Sci, Dept Psychol, Boca Raton, FL 33431 USA
[2] Stanford Univ, Dept Psychiat & Behav Sci, Dept Neurol & Neurol Sci, Sch Med, Stanford, CA 94305 USA
[3] Stanford Univ, Program Neurosci, Sch Med, Stanford, CA 94305 USA
基金
美国国家科学基金会;
关键词
STATE FUNCTIONAL CONNECTIVITY; HUMAN CEREBRAL-CORTEX; MEDIAL TEMPORAL-LOBE; DEFAULT-MODE NETWORK; CORTICAL COORDINATION DYNAMICS; RESTING-STATE; STRUCTURAL CONNECTIVITY; NEURAL SYNCHRONY; WORKING-MEMORY; VISUAL-CORTEX;
D O I
10.1016/j.tics.2010.04.004
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
An understanding of how the human brain produces cognition ultimately depends on knowledge of large-scale brain organization. Although it has long been assumed that cognitive functions are attributable to the isolated operations of single brain areas, we demonstrate that the weight of evidence has now shifted in support of the view that cognition results from the dynamic interactions of distributed brain areas operating in large-scale networks. We review current research on structural and functional brain organization, and argue that the emerging science of large-scale brain networks provides a coherent framework for understanding of cognition. Critically, this framework allows a principled exploration of how cognitive functions emerge from, and are constrained by, core structural and functional networks of the brain.
引用
收藏
页码:277 / 290
页数:14
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