Toward A database of intracranial electrophysiology during natural language presentation
Intracranial 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 recordi...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
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Informa UK Limited
2019
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| Online Access: | https://hdl.handle.net/1721.1/123088 |
| _version_ | 1826208980534296576 |
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| author | Kaestner, Erik Morgan, Adam Milton Snider, Joseph Zhan, Meilin Jiang, Xi Levy, Roger Ferreira, Victor S. Thesen, Thomas Halgren, Eric |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Kaestner, Erik Morgan, Adam Milton Snider, Joseph Zhan, Meilin Jiang, Xi Levy, Roger Ferreira, Victor S. Thesen, Thomas Halgren, Eric |
| author_sort | Kaestner, Erik |
| collection | MIT |
| description | Intracranial 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 probability |
| first_indexed | 2024-09-23T14:15:47Z |
| format | Article |
| id | mit-1721.1/123088 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T14:15:47Z |
| publishDate | 2019 |
| publisher | Informa UK Limited |
| record_format | dspace |
| spelling | mit-1721.1/1230882022-09-28T19:34:38Z Toward A database of intracranial electrophysiology during natural language presentation Kaestner, Erik Morgan, Adam Milton Snider, Joseph Zhan, Meilin Jiang, Xi Levy, Roger Ferreira, Victor S. Thesen, Thomas Halgren, Eric Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Intracranial 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 probability 2019-11-25T20:36:33Z 2019-11-25T20:36:33Z 2018-07 2018-02 Article http://purl.org/eprint/type/JournalArticle 2327-3798 2327-3801 https://hdl.handle.net/1721.1/123088 Kaestner, Erik et al. "Toward A database of intracranial electrophysiology during natural language presentation." Language, Cognition and Neuroscience (July 2018) © 2018 Informa UK Limited http://dx.doi.org/10.1080/23273798.2018.1500262 Language, Cognition and Neuroscience Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Informa UK Limited Prof. Levy via Courtney Crummett |
| spellingShingle | Kaestner, Erik Morgan, Adam Milton Snider, Joseph Zhan, Meilin Jiang, Xi Levy, Roger Ferreira, Victor S. Thesen, Thomas Halgren, Eric Toward A database of intracranial electrophysiology during natural language presentation |
| title | Toward A database of intracranial electrophysiology during natural language presentation |
| title_full | Toward A database of intracranial electrophysiology during natural language presentation |
| title_fullStr | Toward A database of intracranial electrophysiology during natural language presentation |
| title_full_unstemmed | Toward A database of intracranial electrophysiology during natural language presentation |
| title_short | Toward A database of intracranial electrophysiology during natural language presentation |
| title_sort | toward a database of intracranial electrophysiology during natural language presentation |
| url | https://hdl.handle.net/1721.1/123088 |
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