Reliability of Resting-State Microstate Features in Electroencephalography

Electroencephalographic (EEG) microstate analysis is a method of identifying quasi-stable functional brain states ("microstates") that are altered in a number of neuropsychiatric disorders, suggesting their potential use as biomarkers of neurophysiological health and disease. However, use...

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Veröffentlicht in:	PloS one Jg. 9; H. 12; S. e114163
Hauptverfasser:	Khanna, Arjun, Pascual-Leone, Alvaro, Farzan, Faranak
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 05.12.2014 Public Library of Science (PLoS)
Schlagworte:	Adult Algorithms Bioindicators Biomarkers Brain Brain Mapping Cluster analysis Clustering Consistency EEG Electrodes Electroencephalography Electroencephalography - methods Error analysis Feature extraction Female Healthy Volunteers Humans Mathematical analysis Medicine and Health Sciences Mental disorders Nervous system diseases Neurophysiology Recording Reliability analysis Rest - physiology Standard error Vector quantization
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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