作者
Jorge Sepulcre, Hesheng Liu, Tanveer Talukdar, Iñigo Martincorena, BT Thomas Yeo, Randy L Buckner
发表日期
2010/6/10
期刊
PLoS computational biology
卷号
6
期号
6
页码范围
e1000808
出版商
Public Library of Science
简介
Information processing in the human brain arises from both interactions between adjacent areas and from distant projections that form distributed brain systems. Here we map interactions across different spatial scales by estimating the degree of intrinsic functional connectivity for the local (≤14 mm) neighborhood directly surrounding brain regions as contrasted with distant (>14 mm) interactions. The balance between local and distant functional interactions measured at rest forms a map that separates sensorimotor cortices from heteromodal association areas and further identifies regions that possess both high local and distant cortical-cortical interactions. Map estimates of network measures demonstrate that high local connectivity is most often associated with a high clustering coefficient, long path length, and low physical cost. Task performance changed the balance between local and distant functional coupling in a subset of regions, particularly, increasing local functional coupling in regions engaged by the task. The observed properties suggest that the brain has evolved a balance that optimizes information-processing efficiency across different classes of specialized areas as well as mechanisms to modulate coupling in support of dynamically changing processing demands. We discuss the implications of these observations and applications of the present method for exploring normal and atypical brain function.
引用总数
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J Sepulcre, H Liu, T Talukdar, I Martincorena, BTT Yeo… - PLoS computational biology, 2010