摘要
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 infarc- tion 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 con- trast, electroencephalograms of ischemic stroke patients without depression show fast beta activity and slow delta activity. "Ihese findings confirm that low-amplitude alpha activity and slow theta activity can be considered as independent predictors for post-cerebral infarction depression.
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 infarc- tion 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 con- trast, electroencephalograms of ischemic stroke patients without depression show fast beta activity and slow delta activity. "Ihese findings confirm that low-amplitude alpha activity and slow theta activity can be considered as independent predictors for post-cerebral infarction depression.
基金
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