A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls

Until now, clinicians are not able to evaluate the Psychogenic Non-Epileptic Seizures (PNES) from the rest-electroencephalography (EEG) readout. No EEG marker can help differentiate PNES cases from healthy subjects. In this paper, we have investigated the power spectrum density (PSD), in resting-sta...

Descripción completa

Detalles Bibliográficos
Autores principales: Varone, Giuseppe, Boulila, Wadii, Lo Giudice, Michele, Benjdira, Bilel, Mammone, Nadia, Ieracitano, Cosimo, Dashtipour, Kia, Neri, Sabrina, Gasparini, Sara, Morabito, Francesco Carlo, Hussain, Amir, Aguglia, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747462/
https://www.ncbi.nlm.nih.gov/pubmed/35009675
http://dx.doi.org/10.3390/s22010129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747462/
https://www.ncbi.nlm.nih.gov/pubmed/35009675
http://dx.doi.org/10.3390/s22010129

Ejemplares similares