Brain Modularity Mediates the Relation between Task Complexity and Performance

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dc.citation.firstpage1532en_US
dc.citation.issueNumber9en_US
dc.citation.journalTitleJournal of Cognitive Neuroscienceen_US
dc.citation.lastpage1546en_US
dc.citation.volumeNumber29en_US
dc.contributor.authorYue, Qiuhaien_US
dc.contributor.authorMartin, Randien_US
dc.contributor.authorFischer-Baum, Simonen_US
dc.contributor.authorRamos-Nuñez, Aurora I.en_US
dc.contributor.authorYe, Fengdanen_US
dc.contributor.authorDeem, Michael W.en_US
dc.contributor.orgCenter for Theoretical Biological Physicsen_US
dc.date.accessioned2017-08-11T20:05:52Zen_US
dc.date.available2017-08-11T20:05:52Zen_US
dc.date.issued2017en_US
dc.description.abstractRecent work in cognitive neuroscience has focused on analyzing the brain as a network, rather than as a collection of independent regions. Prior studies taking this approach have found that individual differences in the degree of modularity of the brain network relate to performance on cognitive tasks. However, inconsistent results concerning the direction of this relationship have been obtained, with some tasks showing better performance as modularity increases and other tasks showing worse performance. A recent theoretical model [Chen, M., & Deem, M. W. 2015. Development of modularity in the neural activity of children's brains. Physical Biology, 12, 016009] suggests that these inconsistencies may be explained on the grounds that high-modularity networks favor performance on simple tasks whereas low-modularity networks favor performance on more complex tasks. The current study tests these predictions by relating modularity from resting-state fMRI to performance on a set of simple and complex behavioral tasks. Complex and simple tasks were defined on the basis of whether they did or did not draw on executive attention. Consistent with predictions, we found a negative correlation between individuals' modularity and their performance on a composite measure combining scores from the complex tasks but a positive correlation with performance on a composite measure combining scores from the simple tasks. These results and theory presented here provide a framework for linking measures of whole-brain organization from network neuroscience to cognitive processing.en_US
dc.identifier.citationYue, Qiuhai, Martin, Randi, Fischer-Baum, Simon, et al.. "Brain Modularity Mediates the Relation between Task Complexity and Performance." <i>Journal of Cognitive Neuroscience,</i> 29, no. 9 (2017) The MIT Press: 1532-1546. https://doi.org/10.1162/jocn_a_01142.en_US
dc.identifier.doihttps://doi.org/10.1162/jocn_a_01142en_US
dc.identifier.urihttps://hdl.handle.net/1911/96645en_US
dc.language.isoengen_US
dc.publisherThe MIT Pressen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Massachusetts Institute of Technology.en_US
dc.subject.keywordmodularityen_US
dc.subject.keywordresting-state fMRIen_US
dc.subject.keywordtask complexityen_US
dc.subject.keywordindividual differenceen_US
dc.subject.keywordnetwork neuroscienceen_US
dc.titleBrain Modularity Mediates the Relation between Task Complexity and Performanceen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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