The organization of local and distant functional connectivity in the human brain.

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 (<o...

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Autores principales:	Jorge Sepulcre, Hesheng Liu, Tanveer Talukdar, Iñigo Martincorena, B T Thomas Yeo, Randy L Buckner
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/6ef5bdadb75b4081af797149a6e94078
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spelling	oai:doaj.org-article:6ef5bdadb75b4081af797149a6e940782021-12-02T19:58:22ZThe organization of local and distant functional connectivity in the human brain.1553-734X1553-735810.1371/journal.pcbi.1000808https://doaj.org/article/6ef5bdadb75b4081af797149a6e940782010-06-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20548945/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Information 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 (<or=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.Jorge SepulcreHesheng LiuTanveer TalukdarIñigo MartincorenaB T Thomas YeoRandy L BucknerPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 6, Iss 6, p e1000808 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Jorge Sepulcre Hesheng Liu Tanveer Talukdar Iñigo Martincorena B T Thomas Yeo Randy L Buckner The organization of local and distant functional connectivity in the human brain.
description	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 (<or=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.
format	article
author	Jorge Sepulcre Hesheng Liu Tanveer Talukdar Iñigo Martincorena B T Thomas Yeo Randy L Buckner
author_facet	Jorge Sepulcre Hesheng Liu Tanveer Talukdar Iñigo Martincorena B T Thomas Yeo Randy L Buckner
author_sort	Jorge Sepulcre
title	The organization of local and distant functional connectivity in the human brain.
title_short	The organization of local and distant functional connectivity in the human brain.
title_full	The organization of local and distant functional connectivity in the human brain.
title_fullStr	The organization of local and distant functional connectivity in the human brain.
title_full_unstemmed	The organization of local and distant functional connectivity in the human brain.
title_sort	organization of local and distant functional connectivity in the human brain.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/6ef5bdadb75b4081af797149a6e94078
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The organization of local and distant functional connectivity in the human brain.

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