Entropy analysis of the EEG alpha activity in depression patients.
- Author:
Yingying TANG
1
;
Yingjie LI
;
Shanbao TONG
;
Yang LI
;
Yisheng ZHU
Author Information
1. Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China.
- Publication Type:Journal Article
- MeSH:
Adult;
Alpha Rhythm;
Depression;
physiopathology;
Electroencephalography;
Entropy;
Female;
Humans;
Male;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2009;26(4):739-742
- CountryChina
- Language:Chinese
-
Abstract:
The alpha rhythm in electroencephalograph has been associated with the mental state of the brain. The aim of the present study was to analyze the complexity of the alpha activity in depression patients by Renyi entropy (RE) under two conditions, i.e., resting with eyes closed followed by a simple mental arithmetic. The EEGs were recorded in 20 depression patients and 20 age-matched control subjects. Results showed that the alpha activity of depression patients is more complex during resting and is more regular during the mental arithmetic than that of the controls. RE analysis can well characterize the alpha activity in depression patients and could be a valuable tool to study cognitive process and also a potential effective approach for the diagnosis of depression.
