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dc.contributor.authorKaestner, Erik
dc.contributor.authorMorgan, Adam Milton
dc.contributor.authorSnider, Joseph
dc.contributor.authorZhan, Meilin
dc.contributor.authorJiang, Xi
dc.contributor.authorLevy, Roger
dc.contributor.authorFerreira, Victor S.
dc.contributor.authorThesen, Thomas
dc.contributor.authorHalgren, Eric
dc.date.accessioned2019-11-25T20:36:33Z
dc.date.available2019-11-25T20:36:33Z
dc.date.issued2018-07
dc.date.submitted2018-02
dc.identifier.issn2327-3798
dc.identifier.issn2327-3801
dc.identifier.urihttps://hdl.handle.net/1721.1/123088
dc.description.abstractIntracranial electrophysiology (iEEG) studies using cognitive tasks contribute to the understanding of the neural basis of language. However, though iEEG is recorded continuously during clinical treatment, due to patient considerations task time is limited. To increase the usefulness of iEEG recordings for language study we provided patients with a tablet pre-loaded with media filled with natural language, wirelessly synchronised to clinical iEEG. This iEEG data collected and time-locked to natural language presentation is particularly applicable for studying the neural basis of combining words into larger contexts. We validate this approach with pilot analyses involving words heard during a movie, tagging syntactic properties and verb contextual probabilities. Event-related averages of high-frequency power (70–170 Hz) identified bilateral perisylvian electrodes with differential responses to syntactic class and a linear regression identified activity associated with contextual probabilities, demonstrating the usefulness of aligning media to iEEG. We imagine future multi-site collaborations building an “intracranial neurolinguistic corpus”. Keywords: Intracranial electrophysiology; natural language; contextual probabilityen_US
dc.publisherInforma UK Limiteden_US
dc.relation.isversionofhttp://dx.doi.org/10.1080/23273798.2018.1500262en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Levy via Courtney Crummetten_US
dc.titleToward A database of intracranial electrophysiology during natural language presentationen_US
dc.typeArticleen_US
dc.identifier.citationKaestner, Erik et al. "Toward A database of intracranial electrophysiology during natural language presentation." Language, Cognition and Neuroscience (July 2018) © 2018 Informa UK Limiteden_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalLanguage, Cognition and Neuroscienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2019-11-13T19:08:09Z


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