Predicting Working Memory Capacity in Older Subjects Using Quantitative Electroencephalography

OBJECTIVE: We utilized a spectral and network analysis technique with an integrated support vector classification algorithm for the automated detection of cognitive capacity using resting state electroencephalogram (EEG) signals. METHODS: An eyes-closed resting EEG was recorded in 158 older subjects...

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Detalles Bibliográficos
Autores principales: Shin, Jae Hyuk, Jhung, Kyungun, Heo, Jae Seok, An, Suk Kyoon, Park, Jin Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111219/
https://www.ncbi.nlm.nih.gov/pubmed/29969850
http://dx.doi.org/10.30773/pi.2018.04.03.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111219/
https://www.ncbi.nlm.nih.gov/pubmed/29969850
http://dx.doi.org/10.30773/pi.2018.04.03.1

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