基于抑郁症脑电数据的事件相关电位分析及其源定位研究

发布时间：2018-06-19 11:08

本文选题：生物信息处理 + 抑郁症　；参考：《兰州大学》2017年硕士论文

【摘要】：抑郁症是目前危害人类健康最严重的心理疾病。它的主要症状为心情低落、丧失兴趣和动机减退。世界心理健康调查发现抑郁症患者的人数逐年升高。预计到2020年将成为患病人数第二多的疾病,并且发病年龄越来越早。目前,对抑郁症的发病原因仍不确定,对抑郁症患者的诊断仍依靠医生的主观临床判断,误诊率高,且不容易在早期发现。因此迫切需要找到发病的原因及能准确诊断的方法。事件相关电位(Event-related Potential,ERP)是由具有特殊意义的刺激诱发的脑电位,它是了解心理活动的“窗口”。它是安全,便捷的检测方法,具有时间分辨率高,简单性,便携性的特点。本文采用了情绪Stroop范式来诱发事件相关电位。并选取出抑郁症患者与正常人各20人的69导脑电信号,采用叠加、平均的方法得到诱发电位,分析N1、P200成分所表示的认知功能及抑郁症可能存在的抑郁障碍。利用脑电源定位技术对抑郁患者的诱发成分进行定位,进而分析脑内异常区域,为研究人员分析抑郁症的发病原因,为医生提供诊断及治疗抑郁症的理论支持。本文的主要工作为:(1)统计分析抑郁症患者的行为数据;(2)分析与选择性注意相关的P200成分,发现抑郁症患者存在负向情绪偏向;(3)利用标准低分辨率层析成像(sLORETA)脑电源定位算法定位精度高、可行度高的特点,分析抑郁症患者P200成分所表明的认知障碍的异常脑区,发现抑郁症患者的认知障碍主要存在于左侧额叶及右侧颞区。通过统计分析行为数据和ERP成分,发现抑郁症患者的反应时显著增长,并且P200成分的波幅比正常人高,而ERP成分的潜伏期没有显著差异。sLORETA结果表明抑郁症患者的左侧额叶活动性下降,右侧额叶及颞叶的活动性上升。以上结果表明抑郁症患者对正性情绪注意不足,对负向情绪存在注意偏向,且颞叶受损致使抑郁症患者难以调控自己的情绪。以上结论可以有效的帮助医生进行针对治疗。
[Abstract]:Depression is the most serious psychological disease that endangers human health at present. Its main symptoms are depression, loss of interest and motivation. The World Mental Health Survey found that the number of depression patients increased year by year. The disease is expected to be the second most common disease by 2020, and the onset age is getting earlier. At present, the cause of depression is still uncertain, the diagnosis of depression still depends on the subjective clinical judgment of doctors, the misdiagnosis rate is high, and it is not easy to find in the early stage. Therefore, there is an urgent need to find the cause of the disease and to accurately diagnose the method. Event-related potentials (Event-related potentials) are brain potentials evoked by stimuli of special significance, which are "windows" for understanding psychological activities. It is a safe and convenient detection method with high time resolution, simplicity and portability. The emotional Stroop paradigm was used to induce event-related potentials. The 69 lead EEG signals of 20 patients with depression and 20 normal subjects were selected and the evoked potentials were obtained by superposition and average method. The cognitive function expressed by the component of N1P 200 and the possible depression disorder in depression were analyzed. The brain power source localization technique was used to locate the evoked components of depressive patients, and then to analyze the abnormal regions of the brain, to provide theoretical support for the diagnosis and treatment of depression for the researchers to analyze the causes of depression. The main work of this paper is to analyze the P200 components associated with selective attention. It was found that there was a negative emotional bias in patients with depression. (3) using standard low resolution tomography (Lorreta) algorithm to locate the brain power source with high accuracy and high feasibility, the abnormal brain regions of cognitive disorders indicated by P200 components in depression patients were analyzed. It was found that cognitive impairment in patients with depression mainly occurred in left frontal lobe and right temporal area. Through statistical analysis of behavioral data and ERP components, it was found that the response time of depression patients increased significantly, and the amplitude of P200 component was higher than that of normal people. However, there was no significant difference in latency of ERP components. SLORETA results showed that the activity of left frontal lobe decreased, while that of right frontal lobe and temporal lobe increased in patients with depression. These results indicate that the depression patients pay less attention to the positive emotion and have the attention bias to the negative emotion, and the temporal lobe damage makes it difficult for the depression patients to regulate their own emotion. The above conclusion can effectively help doctors to carry out targeted treatment.
【学位授予单位】：兰州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：B845

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