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...

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Detalles Bibliográficos
Autores principales: Wang, Ziqian, Dreyer, Felix, Pulvermüller, Friedemann, Ntemou, Effrosyni, Vajkoczy, Peter, Fekonja, Lucius S., Picht, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772815/
https://www.ncbi.nlm.nih.gov/pubmed/33360768
http://dx.doi.org/10.1016/j.nicl.2020.102536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772815/
https://www.ncbi.nlm.nih.gov/pubmed/33360768
http://dx.doi.org/10.1016/j.nicl.2020.102536

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