Topographic brain tumor anatomy drives seizure risk and enables machine learning based prediction

Topographic brain tumor anatomy drives seizure risk and enables machine learning based prediction

Objective: The aim of this study was to identify relevant risk factors for epileptic seizures upon initial diagnosis of a brain tumor and to develop and validate a machine learning based prediction to allow for a tailored risk-based antiepileptic therapy. Methods: Clinical, electrophysiological and...

Full description

Bibliographic Details
Main Authors: Kevin Akeret, Vittorio Stumpo, Victor E. Staartjes, Flavio Vasella, Julia Velz, Federica Marinoni, Jean-Philippe Dufour, Lukas L. Imbach, Luca Regli, Carlo Serra, Niklaus Krayenbühl
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:NeuroImage: Clinical
Subjects:
Epilepsy
Metastases
Glioma
Primary central nervous system lymphoma
Generalized additive model
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158220303430

Internet

http://www.sciencedirect.com/science/article/pii/S2213158220303430

Similar Items