Development of grouped icEEG for the study of cognitive processing
| Autor: | Christopher R. Conner, Nitin Tandon, Matthew J Rollo, Cihan Mehmet Kadipasaoglu, Vatche G. Baboyan, Meagan Lee Whaley, Kiefer J. Forseth |
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| Rok vydání: | 2015 |
| Předmět: |
Brain activity and meditation
Computer science lcsh:BF1-990 Population icEEG computer.software_genre Machine learning fusiform face area (FFA) 03 medical and health sciences distributed cortical networks 0302 clinical medicine cortical network dynamics Psychology parahippocampal place area (PPA) education General Psychology 030304 developmental biology 0303 health sciences education.field_of_study business.industry Cognition Face perception Cognitive network ECoG Intracranial eeg lcsh:Psychology Perspective face perception Spatiotemporal resolution Artificial intelligence Data mining business computer 030217 neurology & neurosurgery ventral temporal cortex |
| Zdroj: | Frontiers in Psychology, Vol 6 (2015) Frontiers in Psychology |
| ISSN: | 1664-1078 |
| DOI: | 10.3389/fpsyg.2015.01008 |
| Popis: | Invasive intracranial EEG (icEEG) offers a unique opportunity to study human cognitive networks at an unmatched spatiotemporal resolution. To date, the contributions of icEEG have been limited to the individual-level analyses or cohorts whose data are not integrated in any way. Here we discuss how grouped approaches to icEEG overcome challenges related to sparse-sampling, correct for individual variations in response and provide statistically valid models of brain activity in a population. By the generation of whole-brain activity maps, grouped icEEG enables the study of intra and interregional dynamics between distributed cortical substrates exhibiting task-dependent activity. In this fashion, grouped icEEG analyses can provide significant advances in understanding the mechanisms by which cortical networks give rise to cognitive functions. |
| Databáze: | OpenAIRE |
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