Network phenotypes and their clinical significance in temporal lobe epilepsy using machine learning applications to morphological and functional graph theory metrics

Machine learning analyses were performed on graph theory (GT) metrics extracted from brain functional and morphological data from temporal lobe epilepsy (TLE) patients in order to identify intrinsic network phenotypes and characterize their clinical significance. Participants were 97 TLE and 36 heal...

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Detalles Bibliográficos
Autores principales: Garcia-Ramos, Camille, Nair, Veena, Maganti, Rama, Mathis, Jedidiah, Conant, Lisa L., Prabhakaran, Vivek, Binder, Jeffrey R., Meyerand, Beth, Hermann, Bruce, Struck, Aaron F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402557/
https://www.ncbi.nlm.nih.gov/pubmed/36002603
http://dx.doi.org/10.1038/s41598-022-18495-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402557/
https://www.ncbi.nlm.nih.gov/pubmed/36002603
http://dx.doi.org/10.1038/s41598-022-18495-z

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