Reliability of Resting-State Microstate Features in Electroencephalography

• Published in: PloS one Vol. 9; no. 12; p. e114163
• Main Authors: Khanna, Arjun, Pascual-Leone, Alvaro, Farzan, Faranak
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 05.12.2014; Public Library of Science (PLoS)
• Subjects: 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

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...