摘要
目的对在校大学生的脑电信号(electroencephalography,EEG)进行研究,以期找到对抑郁情绪倾向预测具有可行的高识别率的情绪特征。方法首先通过14导脑电设备采集19位高校大学生(女6、男13)的脑电信号并对其进行贝克抑郁量表的测试,按测试结果将其分为实验组和正常组。然后使用Eeglab工具包对采集到的数据进行预处理,得到干净的脑电信号。最后采用事件相关频谱扰动(ERSP)对其进行时频分析,以讨论在时间-频率域内的能量变化与抑郁情绪倾向预测的关系。结果在负性图片刺激下,在Alpha、Beta波段均发现时间窗为50~150 ms、350~450 ms时正常组和实验组之间差异具有统计学意义。在正性图片刺激下,Alpha波段在时间窗为150~250 ms、350~450 ms时正常组和实验组之间差异具有统计学意义,Beta波段在时间窗为300~400 ms时差异具有统计学意义。结论在正负性图片的刺激下,Alpha、Beta波段的部分特殊时间段中存在可识别抑郁情绪倾向的特征值,可为今后研究抑郁情绪倾向性提供一定的参考依据。
Objective To find the related emotional characteristics with high recognition rate to predict depression by analyzing EEG signals.Methods Firstly,we collected the 14 channel EEG signals of 19 college students as the subject（female：6,male：13）under the standard IAPS affective pictures as the stimuli.The subjects were be divided into normal group and control group according to BDI.Secondly,EEG signals were collecting by Emotiv Epoc,and then EEGLAB toolbox was used to process the original data for removing the artifact signals.Finally,the time-frequency analysis were carried out by ERSP.Results For the negative stimuli,there were a significant difference（P〈0.01）between normal and control groups,which occurred in the time range of 50-150 ms and 350-450 ms based on the Alpha and Beta bands.For the positive stimuli,there were a significant difference（P〈0.01）between normal group and control group in the time range of 150-250 ms and350-450 ms based on the Alpha band,while,there were the significant difference（P〈0.01）in the time range of 300-400 ms based on the Beta band.Conclusions There existed some significant characteristic of EEG with the time ranges between normal and control groups.These characteristic of EEG with the special time ranges may help researchers to recognize the depression tendency and provide certain reference basis for the depression research.
出处
《北京生物医学工程》
2018年第1期21-26,共6页
Beijing Biomedical Engineering
基金
国家自然科学基金青年项目(61603198)
南京邮电大学人才引进项目(NY214194)
江苏省自然科学基金青年项目(BK20160918)
南京邮电大学大学生创新训练计划项目(XYB2016274)资助
