Cognitive relevance of the community structure of the human brain functional coactivation network.

Nicolas A. Crossley; Andrea Mechelli; Petra E. Vértes; Tobias Winton-Brown; Ameera X. Patel; Cedric E. Ginestet; Philip McGuire; Edward T. Bullmore

doi:10.1073/pnas.1220826110

Cognitive relevance of the community structure of the human brain functional coactivation network.

Nicolas A. Crossley, Andrea Mechelli, Petra E. Vértes, Tobias Winton-Brown, Ameera X. Patel, Cedric E. Ginestet, Philip McGuire, Edward T. Bullmore

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352 Citations (Scopus)

Abstract

There is growing interest in the complex topology of human brain functional networks, often measured using resting-state functional MRI (fMRI). Here, we used a meta-analysis of the large primary literature that used fMRI or PET to measure task-related activation (>1,600 studies; 1985-2010). We estimated the similarity (Jaccard index) of the activation patterns across experimental tasks between each pair of 638 brain regions. This continuous coactivation matrix was used to build a weighted graph to characterize network topology. The coactivation network was modular, with occipital, central, and default-mode modules predominantly coactivated by specific cognitive domains (perception, action, and emotion, respectively). It also included a rich club of hub nodes, located in parietal and prefrontal cortex and often connected over long distances, which were coactivated by a diverse range of experimental tasks. Investigating the topological role of edges between a deactivated and an activated node, we found that such competitive interactions were most frequent between nodes in different modules or between an activated rich-club node and a deactivated peripheral node. Many aspects of the coactivation network were convergent with a connectivity network derived from resting state fMRI data (n = 27, healthy volunteers); although the connectivity network was more parsimoniously connected and differed in the anatomical locations of some hubs. We conclude that the community structure of human brain networks is relevant to cognitive function. Deactivations may play a role in flexible reconfiguration of the network according to cognitive demand, varying the integration between modules, and between the periphery and a central rich club.

Original language	English
Pages (from-to)	11583-11588
Number of pages	6
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	110
Issue number	28
DOIs	https://doi.org/10.1073/pnas.1220826110
Publication status	Published - 9 Jul 2013

Keywords

Acknowledged-BRC
Acknowledged-BRC-13/14

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10.1073/pnas.1220826110

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Crossley, N. A., Mechelli, A., Vértes, P. E., Winton-Brown, T., Patel, A. X., Ginestet, C. E., McGuire, P., & Bullmore, E. T. (2013). Cognitive relevance of the community structure of the human brain functional coactivation network. Proceedings of the National Academy of Sciences of the United States of America, 110(28), 11583-11588. https://doi.org/10.1073/pnas.1220826110

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title = "Cognitive relevance of the community structure of the human brain functional coactivation network.",

abstract = "There is growing interest in the complex topology of human brain functional networks, often measured using resting-state functional MRI (fMRI). Here, we used a meta-analysis of the large primary literature that used fMRI or PET to measure task-related activation (>1,600 studies; 1985-2010). We estimated the similarity (Jaccard index) of the activation patterns across experimental tasks between each pair of 638 brain regions. This continuous coactivation matrix was used to build a weighted graph to characterize network topology. The coactivation network was modular, with occipital, central, and default-mode modules predominantly coactivated by specific cognitive domains (perception, action, and emotion, respectively). It also included a rich club of hub nodes, located in parietal and prefrontal cortex and often connected over long distances, which were coactivated by a diverse range of experimental tasks. Investigating the topological role of edges between a deactivated and an activated node, we found that such competitive interactions were most frequent between nodes in different modules or between an activated rich-club node and a deactivated peripheral node. Many aspects of the coactivation network were convergent with a connectivity network derived from resting state fMRI data (n = 27, healthy volunteers); although the connectivity network was more parsimoniously connected and differed in the anatomical locations of some hubs. We conclude that the community structure of human brain networks is relevant to cognitive function. Deactivations may play a role in flexible reconfiguration of the network according to cognitive demand, varying the integration between modules, and between the periphery and a central rich club. ",

keywords = "Acknowledged-BRC, Acknowledged-BRC-13/14",

author = "Crossley, {Nicolas A.} and Andrea Mechelli and V{\'e}rtes, {Petra E.} and Tobias Winton-Brown and Patel, {Ameera X.} and Ginestet, {Cedric E.} and Philip McGuire and Bullmore, {Edward T.}",

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doi = "10.1073/pnas.1220826110",

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Crossley, NA , Mechelli, A, Vértes, PE, Winton-Brown, T, Patel, AX, Ginestet, CE , McGuire, P & Bullmore, ET 2013, 'Cognitive relevance of the community structure of the human brain functional coactivation network.', Proceedings of the National Academy of Sciences of the United States of America, vol. 110, no. 28, pp. 11583-11588. https://doi.org/10.1073/pnas.1220826110

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T1 - Cognitive relevance of the community structure of the human brain functional coactivation network.

AU - Crossley, Nicolas A.

AU - Mechelli, Andrea

AU - Vértes, Petra E.

AU - Winton-Brown, Tobias

AU - Patel, Ameera X.

AU - Ginestet, Cedric E.

AU - McGuire, Philip

AU - Bullmore, Edward T.

PY - 2013/7/9

Y1 - 2013/7/9

N2 - There is growing interest in the complex topology of human brain functional networks, often measured using resting-state functional MRI (fMRI). Here, we used a meta-analysis of the large primary literature that used fMRI or PET to measure task-related activation (>1,600 studies; 1985-2010). We estimated the similarity (Jaccard index) of the activation patterns across experimental tasks between each pair of 638 brain regions. This continuous coactivation matrix was used to build a weighted graph to characterize network topology. The coactivation network was modular, with occipital, central, and default-mode modules predominantly coactivated by specific cognitive domains (perception, action, and emotion, respectively). It also included a rich club of hub nodes, located in parietal and prefrontal cortex and often connected over long distances, which were coactivated by a diverse range of experimental tasks. Investigating the topological role of edges between a deactivated and an activated node, we found that such competitive interactions were most frequent between nodes in different modules or between an activated rich-club node and a deactivated peripheral node. Many aspects of the coactivation network were convergent with a connectivity network derived from resting state fMRI data (n = 27, healthy volunteers); although the connectivity network was more parsimoniously connected and differed in the anatomical locations of some hubs. We conclude that the community structure of human brain networks is relevant to cognitive function. Deactivations may play a role in flexible reconfiguration of the network according to cognitive demand, varying the integration between modules, and between the periphery and a central rich club.

AB - There is growing interest in the complex topology of human brain functional networks, often measured using resting-state functional MRI (fMRI). Here, we used a meta-analysis of the large primary literature that used fMRI or PET to measure task-related activation (>1,600 studies; 1985-2010). We estimated the similarity (Jaccard index) of the activation patterns across experimental tasks between each pair of 638 brain regions. This continuous coactivation matrix was used to build a weighted graph to characterize network topology. The coactivation network was modular, with occipital, central, and default-mode modules predominantly coactivated by specific cognitive domains (perception, action, and emotion, respectively). It also included a rich club of hub nodes, located in parietal and prefrontal cortex and often connected over long distances, which were coactivated by a diverse range of experimental tasks. Investigating the topological role of edges between a deactivated and an activated node, we found that such competitive interactions were most frequent between nodes in different modules or between an activated rich-club node and a deactivated peripheral node. Many aspects of the coactivation network were convergent with a connectivity network derived from resting state fMRI data (n = 27, healthy volunteers); although the connectivity network was more parsimoniously connected and differed in the anatomical locations of some hubs. We conclude that the community structure of human brain networks is relevant to cognitive function. Deactivations may play a role in flexible reconfiguration of the network according to cognitive demand, varying the integration between modules, and between the periphery and a central rich club.

KW - Acknowledged-BRC

KW - Acknowledged-BRC-13/14

U2 - 10.1073/pnas.1220826110

DO - 10.1073/pnas.1220826110

M3 - Article

SN - 0027-8424

VL - 110

SP - 11583

EP - 11588

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

IS - 28

ER -

Cognitive relevance of the community structure of the human brain functional coactivation network.

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