精神分裂症患者诱发态脑电信号特征提取研究  被引量:1

Extraction of Evoked State EEG Signal Features in Schizophrenic Patients

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作  者:徐琪[1,2] 李斌 朱耿[2] 李永康 王琦雯 李晓欧 XU Qi;LI Bin;ZHU Geng;LI Yong-kang;WANG Qi-weng;LI Xiao-ou(College of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;College of Medical Instruments,Shanghai University of Medicine&Health Sciences,Shanghai 201318,China;Shanghai Yangpu District Mental Health Center,Shanghai 200093,China)

机构地区:[1]上海理工大学健康科学与工程学院,上海200093 [2]上海健康医学院医疗器械学院,上海201318 [3]上海市杨浦区精神卫生中心,上海200093

出  处:《软件导刊》2023年第4期91-95,共5页Software Guide

基  金:国家自然科学基金青年科学基金项目(31401147);国家自然科学基金面上项目(81871064);上海市科委地方院校能力建设项目(22010502400);上海市杨浦区科学技术委员会、卫生健康委员会科研项目(YPM202114);上海健康医学院精神卫生临床研究中心项目(20MC2020005)。

摘  要:精神分裂症患者诱发态脑电信号量化特征可为疾病诊断提供依据。为此,从42例精神分裂症患者和29例健康人的学习任务中获取事件相关电位进行研究。首先,提取人体脑电信号的电位时域、频域特征。然后,基于相干性和相位滞后指数构建脑网络,分析脑功能连接差异性。实验结果表明,精神分裂症患者在学习任务过程中,P300波幅相较于健康人明显降低,在刺激开始后0.1~0.6s内,健康人theta频段功率更强,两者脑功能连接性差异主要体现在左半球的颞叶和枕叶之间,可为精神分裂症患者的早期诊断提供参考与借鉴。The quantitative characteristics of evoked EEG in schizophrenic patients can provide basis for disease diagnosis.Therefore,event related potentials were obtained from learning tasks of 42 schizophrenics and 29 healthy people for research.First,the time domain and fre⁃quency domain characteristics of human EEG signals are extracted.Then,the brain network is constructed based on the coherence and phase lag index to analyze the differences of brain functional connectivity.The experimental results showed that the P300 amplitude of schizophrenic patients was significantly lower than that of healthy people during the learning task.Within 0.1-0.6s after the start of the stimulation,the theta frequency band power of healthy people was stronger.The difference in the connectivity of brain functions between the temporal lobe and the occipital lobe of the left hemisphere was mainly reflected in the difference,which could provide reference for early diagnosis of schizophrenic patients.

关 键 词:精神分裂症 时域特征 时频特征 功能连接 

分 类 号:N94[自然科学总论—系统科学]

 

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