Open AccessRelationship Between Abnormalities in Resting-State Quantitative Electroencephalogram Patterns and Poststroke Depression
Author(s) -
Xinyuan Li,
Yue Lang,
Jing Liu,
Xiaomin Lv,
Lijian Yang
Publication year - 2020
Publication title -
journal of clinical neurophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 99
eISSN - 1537-1603
pISSN - 0736-0258
DOI - 10.1097/wnp.0000000000000708
Subject(s) - absolute power , electroencephalography , quantitative electroencephalography , depression (economics) , correlation , psychology , audiology , resting state fmri , receiver operating characteristic , pearson product moment correlation coefficient , medicine , psychiatry , neuroscience , statistics , mathematics , geometry , politics , political science , law , economics , macroeconomics
Spectral power analysis of quantitative EEG has gained popularity in the assessment of depression, but findings across studies concerning poststroke depression (PSD) have been inconsistent. The goal of this study was to determine the extent to which abnormalities in quantitative EEG differentiate patients with PSD from poststroke nondepressed (PSND) subjects.