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A comparison of uni- and multi-variate methods for identifying brain networks activated by cognitive tasks using intracranial EEG
Cognitive tasks are commonly used to identify brain networks involved in the underlying cognitive process. However, inferring the brain networks from intracranial EEG data presents several challenges related to the sparse spatial sampling of the brain and the high variability of the EEG trace due to...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549146/ https://www.ncbi.nlm.nih.gov/pubmed/36225734 http://dx.doi.org/10.3389/fnins.2022.946240 |