Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients

Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients

Repetitive TMS (rTMS) allows for non-invasive and transient disruption of local neuronal functioning. We used machine learning approaches to assess whether brain tumor patients can be accurately classified into aphasic and non-aphasic groups using their rTMS language mapping results as input feature...

Full description

Bibliographic Details
Main Authors: Ziqian Wang, Felix Dreyer, Friedemann Pulvermüller, Effrosyni Ntemou, Peter Vajkoczy, Lucius S. Fekonja, Thomas Picht
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage: Clinical
Subjects:
Transcranial magnetic stimulation
Language
Support vector machine
Machine learning
Glioma
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158220303739

Internet

http://www.sciencedirect.com/science/article/pii/S2213158220303739

Similar Items