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Predictive power of abnormal electroencephalogram for post-cerebral infarction depression

Authors :
Yan-ping Zheng
Fu-xi Wang
De-qiang Zhao
Yan-qing Wang
Zi-wei Zhao
Zhan-wen Wang
Jun Liu
Jun Wang
Ping Luan
Source :
Neural Regeneration Research, Vol 13, Iss 2, Pp 304-308 (2018)
Publication Year :
2018
Publisher :
Wolters Kluwer Medknow Publications, 2018.

Abstract

Electroencephalography is a sensitive indicator for measuring brain condition, and can reflect early changes in brain function and severity of cerebral ischemia. However, it is not yet known whether electroencephalography can predict development of post-cerebral infarction depression. A total of 321 patients with ischemic stroke underwent electroencephalography and Hamilton Depression Rating Scale assessment to analyze the relationship between electroencephalography and post-cerebral infarction depression. Our results show that electroencephalograms of ischemic stroke patients with depression exhibit low-amplitude alpha activity and slow theta activity. In contrast, electroencephalograms of ischemic stroke patients without depression show fast beta activity and slow delta activity. These findings confirm that low-amplitude alpha activity and slow theta activity can be considered as independent predictors for post-cerebral infarction depression.

Details

Language :
English
ISSN :
16735374
Volume :
13
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Neural Regeneration Research
Publication Type :
Academic Journal
Accession number :
edsdoj.33738910a4604ebf920c3e0f55c88e5a
Document Type :
article
Full Text :
https://doi.org/10.4103/1673-5374.213555