NetDI: Methodology Elucidating the Role of Power and Dynamical Brain Network Features That Underpin Word Production

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dc.citation.issueNumber1en_US
dc.citation.journalTitleeNeuroen_US
dc.citation.volumeNumber8en_US
dc.contributor.authorYellapantula, Sudhaen_US
dc.contributor.authorForseth, Kieferen_US
dc.contributor.authorTandon, Nitinen_US
dc.contributor.authorAazhang, Behnaamen_US
dc.date.accessioned2021-03-09T15:44:33Zen_US
dc.date.available2021-03-09T15:44:33Zen_US
dc.date.issued2021en_US
dc.description.abstractCanonical language models describe eloquent function as the product of a series of cognitive processes, typically characterized by the independent activation profiles of focal brain regions. In contrast, more recent work has suggested that the interactions between these regions, the cortical networks of language, are critical for understanding speech production. We investigated the cortical basis of picture naming (PN) with human intracranial electrocorticography (ECoG) recordings and direct cortical stimulation (DCS), adjudicating between two competing hypotheses: are task-specific cognitive functions discretely computed within well-localized brain regions or rather by distributed networks? The time resolution of ECoG allows direct comparison of intraregional activation measures [high gamma (hγ) power] with graph theoretic measures of interregional dynamics. We developed an analysis framework, network dynamics using directed information (NetDI), using information and graph theoretic tools to reveal spatiotemporal dynamics at multiple scales: coarse, intermediate, and fine. Our analysis found novel relationships between the power profiles and network measures during the task. Furthermore, validation using DCS indicates that such network parameters combined with hγ power are more predictive than hγ power alone, for identifying critical language regions in the brain. NetDI reveals a high-dimensional space of network dynamics supporting cortical language function, and to account for disruptions to language function observed after neurosurgical resection, traumatic injury, and degenerative disease.en_US
dc.identifier.citationYellapantula, Sudha, Forseth, Kiefer, Tandon, Nitin, et al.. "NetDI: Methodology Elucidating the Role of Power and Dynamical Brain Network Features That Underpin Word Production." <i>eNeuro,</i> 8, no. 1 (2021) Society for Neuroscience: https://doi.org/10.1523/ENEURO.0177-20.2020.en_US
dc.identifier.digitalENEURO-0177-20-2020-fullen_US
dc.identifier.doihttps://doi.org/10.1523/ENEURO.0177-20.2020en_US
dc.identifier.urihttps://hdl.handle.net/1911/110155en_US
dc.language.isoengen_US
dc.publisherSociety for Neuroscienceen_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleNetDI: Methodology Elucidating the Role of Power and Dynamical Brain Network Features That Underpin Word Productionen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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