EEG Source Network for the Diagnosis of Schizophrenia and the Identification of Subtypes Based on Symptom Severity—A Machine Learning Approach

A precise diagnosis and a comprehensive assessment of symptom severity are important clinical issues in patients with schizophrenia (SZ). We investigated whether electroencephalography (EEG) features obtained from EEG source network analyses could be effectively applied to classify the SZ subtypes b...

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Detalles Bibliográficos
Autores principales: Kim, Jeong-Youn, Lee, Hyun Seo, Lee, Seung-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761931/
https://www.ncbi.nlm.nih.gov/pubmed/33291657
http://dx.doi.org/10.3390/jcm9123934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761931/
https://www.ncbi.nlm.nih.gov/pubmed/33291657
http://dx.doi.org/10.3390/jcm9123934

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