Unsupervised machine learning can delineate central sulcus by using the spatiotemporal characteristic of somatosensory evoked potentials

OBJECTIVE. Somatosensory evoked potentials (SSEPs) recorded with electrocorticography (ECoG) for central sulcus (CS) identification is a widely accepted procedure in routine intraoperative neurophysiological monitoring. Clinical practices test the short-latency SSEPs for the phase reversal over stri...

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Detalles Bibliográficos
Autores principales: Asman, Priscella, Prabhu, Sujit, Bastos, Dhiego, Tummala, Sudhakar, Bhavsar, Shreyas, McHugh, Thomas Michael, Ince, Nuri Firat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718352/
https://www.ncbi.nlm.nih.gov/pubmed/33836520
http://dx.doi.org/10.1088/1741-2552/abf68a

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718352/
https://www.ncbi.nlm.nih.gov/pubmed/33836520
http://dx.doi.org/10.1088/1741-2552/abf68a

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