Department of Biomedical Engineering, Technomedicum of the Tallinn University of Technology, Tallinn, Estonia.
Med Biol Eng Comput. 2009 Dec;47(12):1291-9. doi: 10.1007/s11517-009-0554-9. Epub 2009 Nov 13.
This study is aimed to compare sensitivity of different electroencephalographic (EEG) indicators for detection of depression. The novel EEG spectral asymmetry index (SASI) was introduced based on balance between the powers of two special EEG frequency bands selected lower and higher of the EEG spectrum maximum and excluding the central frequency from the calculations. The efficiency of the SASI was compared to the traditional EEG inter-hemispheric asymmetry and coherence methods. EEG recordings were carried out on groups of depressive and healthy subjects of 18 female volunteers each. The resting eight-channel EEG was recorded during 30 min. The SASI calculated in an arbitrary EEG channel differentiated clearly between the depressive and healthy group (p < 0.005). Correlation between SASI and Hamilton Depression Rating Scale score was 0.7. The EEG inter-hemispheric asymmetry and coherence revealed some trends, but no significant differences between the groups of healthy controls and patients with depressive disorder.
本研究旨在比较不同脑电图(EEG)指标检测抑郁症的敏感性。基于从计算中排除中央频率后,在脑电图频谱最大值以下和以上选择的两个特殊脑电图频带的功率之间的平衡,引入了新的脑电图谱不对称指数(SASI)。将 SASI 的效率与传统的 EEG 半球间不对称和相干性方法进行了比较。EEG 记录在每组 18 名女性志愿者的抑郁和健康受试者中进行。在 30 分钟的休息期间记录了 8 通道 EEG。在任意 EEG 通道中计算的 SASI 可以清楚地区分抑郁组和健康组(p<0.005)。SASI 与汉密尔顿抑郁量表评分之间的相关性为 0.7。EEG 半球间不对称和相干性显示出一些趋势,但健康对照组和抑郁症患者组之间没有显著差异。