Reliability of visual review of intracranial electroencephalogram in identifying the seizure onset zone: A systematic review and implications for the accuracy of automated methods

Visual review of intracranial electroencephalography (iEEG) is often an essential component for defining the zone of resection for epilepsy surgery. Unsupervised approaches using machine and deep learning are being employed to identify seizure onset zones (SOZs). This prompts a more comprehensive un...

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Detalles Bibliográficos
Autores principales: Flanary, James, Daly, Samuel R., Bakker, Caitlin, Herman, Alexander B., Park, Michael C., McGovern, Robert, Walczak, Thaddeus, Henry, Thomas, Netoff, Theoden I., Darrow, David P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Critical Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099245/
https://www.ncbi.nlm.nih.gov/pubmed/36300659
http://dx.doi.org/10.1111/epi.17446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099245/
https://www.ncbi.nlm.nih.gov/pubmed/36300659
http://dx.doi.org/10.1111/epi.17446

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