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dc.contributor.authorChen, Man
Deem, Michael W.
dc.date.accessioned 2017-05-22T18:57:18Z
dc.date.available 2017-05-22T18:57:18Z
dc.date.issued 2015
dc.identifier.citation Chen, Man and Deem, Michael W.. "Development of modularity in the neural activity of childrenʼs brains." Physical Biology, 12, no. 1 (2015) IOP Publishing: https://doi.org/10.1088/1478-3975/12/1/016009.
dc.identifier.urihttps://hdl.handle.net/1911/94328
dc.description.abstract We study how modularity of the human brain changes as children develop into adults. Theory suggests that modularity can enhance the response function of a networked system subject to changing external stimuli. Thus, greater cognitive performance might be achieved for more modular neural activity, and modularity might likely increase as children develop. The value of modularity calculated from functional magnetic resonance imaging (fMRI) data is observed to increase during childhood development and peak in young adulthood. Head motion is deconvolved from the fMRI data, and it is shown that the dependence of modularity on age is independent of the magnitude of head motion. A model is presented to illustrate how modularity can provide greater cognitive performance at short times, i.e. task switching. A fitness function is extracted from the model. Quasispecies theory is used to predict how the average modularity evolves with age, illustrating the increase of modularity during development from children to adults that arises from selection for rapid cognitive function in young adults. Experiments exploring the effect of modularity on cognitive performance are suggested. Modularity may be a potential biomarker for injury, rehabilitation, or disease.
dc.language.iso eng
dc.publisher IOP Publishing
dc.rights This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IOP Publishing.
dc.title Development of modularity in the neural activity of childrenʼs brains
dc.type Journal article
dc.citation.journalTitle Physical Biology
dc.contributor.org Center for Theoretical Biological Physics
dc.citation.volumeNumber 12
dc.citation.issueNumber 1
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1088/1478-3975/12/1/016009
dc.identifier.pmcid PMC4489707
dc.identifier.pmid 25619207
dc.type.publication post-print
dc.citation.articleNumber 016009


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