Can Presurgical Interhemispheric EEG Connectivity Predict Outcome in Hemispheric Surgery? A Brain Machine Learning Approach

Can Presurgical Interhemispheric EEG Connectivity Predict Outcome in Hemispheric Surgery? A Brain Machine Learning Approach

Objectives: Hemispherotomy (HT) is a surgical option for treatment of drug-resistant seizures due to hemispheric structural lesions. Factors affecting seizure outcome have not been fully clarified. In our study, we used a brain Machine Learning (ML) approach to evaluate the possible role of Inter-he...

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Bibliographic Details
Main Authors: Chiara Pepi, Mattia Mercier, Giusy Carfì Pavia, Alessandro de Benedictis, Federico Vigevano, Maria Camilla Rossi-Espagnet, Giovanni Falcicchio, Carlo Efisio Marras, Nicola Specchio, Luca de Palma
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Brain Sciences
Subjects:
hemispherotomy
seizure prediction
outcome
brain machine learning
Online Access:https://www.mdpi.com/2076-3425/13/1/71

Internet

https://www.mdpi.com/2076-3425/13/1/71

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