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dc.contributor.authorBardouille, T.en_US
dc.contributor.authorBoe, S.en_US
dc.date.accessioned2014-03-31T18:54:47Z
dc.date.available2014-03-31T18:54:47Z
dc.date.issued2012en_US
dc.identifier.citationBardouille, T., and S. Boe. 2012. "State-related changes in MEG functional connectivity reveal the task-positive sensorimotor network." PloS one 7(10): 48682. doi:10.1371/journal.pone.0048682en_US
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://dx.doi.org/10.1371/journal.pone.0048682en_US
dc.identifier.urihttp://hdl.handle.net/10222/47822
dc.description.abstractFunctional connectivity measures applied to magnetoencephalography (MEG) data have the capacity to elucidate neuronal networks. However, the task-related modulation of these measures is essential to identifying the functional relevance of the identified network. In this study, we provide evidence for the efficacy of measuring "state-related" (i.e., task vs. rest) changes in MEG functional connectivity for revealing a sensorimotor network. We investigate changes in functional connectivity, measured as cortico-cortical coherence (CCC), between rest blocks and the performance of a visually directed motor task in a healthy cohort. Task-positive changes in CCC were interpreted in the context of any concomitant modulations in spectral power. Task-related increases in whole-head CCC relative to the resting state were identified between areas established as part of the sensorimotor network as well as frontal eye fields and prefrontal cortices, predominantly in the beta and gamma frequency bands. This study provides evidence for the use of MEG to identify task-specific functionally connected sensorimotor networks in a non-invasive, patient friendly manner.en_US
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dc.relation.ispartofPloS oneen_US
dc.titleState-related changes in MEG functional connectivity reveal the task-positive sensorimotor networken_US
dc.typearticleen_US
dc.identifier.volume7en_US
dc.identifier.issue10en_US
dc.identifier.startpage48682en_US
dc.rights.licenseCreative Commons Attribution License 4.0
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