A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction

A novel way to use cross-validation to measure connectivity by machine learning allows epilepsy surgery outcome prediction

The rate of success of epilepsy surgery, ensuring seizure-freedom, is limited by the lack of epileptogenicity biomarkers. Previous evidence supports the critical role of functional connectivity during seizure generation to characterize the epileptogenic network (EN). However, EN dynamics is highly v...

Full description

Saved in:
Bibliographic Details
Main Authors: Karla Ivankovic, Alessandro Principe, Justo Montoya-Gálvez, Linus Manubens-Gil, Riccardo Zucca, Pablo Villoslada, Mara Dierssen, Rodrigo Rocamora
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:NeuroImage
Subjects:
Machine learning
Functional connectivity
Seizure generation
Epileptogenic network
Epilepsy surgery
Outcome prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811924004877
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S1053811924004877

Similar Items