Neural Regeneration Research ›› 2018, Vol. 13 ›› Issue (2): 304-308.doi: 10.4103/1673-5374.213555

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Predictive power of abnormal electroencephalogram for post-cerebral infarction depression

Yan-ping Zheng1, Fu-xi Wang2, De-qiang Zhao3, Yan-qing Wang4, Zi-wei Zhao1, Zhan-wen Wang1, Jun Liu5, Jun Wang1, Ping Luan1, 6   

  1. 1 Health Science Center, Shenzhen University, Shenzhen, Guangdong Province, China
    2 Department of Dermatology, Shenzhen Second People’s Hospital, Shenzhen, Guangdong Province, China
    3 Department of Neurology, Nanfang Hospital of Southern Medical University, Guangzhou, Guangdong Province, China
    4 Department of Neurology, Shenzhen Second People’s Hospital, Shenzhen, Guangdong Province, China
    5 Department of Neurology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
    6 Cognitive Impairment Ward, Department of Neurology, Third Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, China
  • Received:2017-06-12 Online:2018-02-15 Published:2018-02-15
  • Contact: Ping Luan, M.D. or Jun Wang,M.D., pingluan01@163.com or yxywj@szu.edu.cn.
  • Supported by:

    This study was supported by the National Natural Science Foundation of China, No. 81372919; the Natural Science Foundation of Guangdong Province of China, No. 2014A030313016; the Basic Key Research Project Fund of Shenzhen City of China, No.JCYJ20150324140036853; the Science and Technology Program Fund of Shenzhen City of China, No. JCYJ20140418181958477.

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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.

Key words: nerve regeneration, cerebrovascular disease, brain organic mental disorders, stroke, ischemic stroke, post-cerebral-infarction depression, depression, electroencephalography, Hamilton Depression Rating Scale, neural regeneration