本文關(guān)鍵詞： 格蘭杰因果關(guān)系 精神分裂癥 腦磁圖 dDTF 因效性腦網(wǎng)絡(luò)　出處：《南京郵電大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：精神分裂癥(schizophrenia)是一種嚴(yán)重的精神疾病,部分患者會(huì)出現(xiàn)主動(dòng)性和認(rèn)知功能喪失,最終導(dǎo)致腦功能衰退和精神殘疾,也有的患者經(jīng)過治療后可以基本痊愈。本文在前人的工作基礎(chǔ)上,基于格蘭杰因果關(guān)系(Granger causality,GC)的因效性腦網(wǎng)絡(luò)分析方法,深入研究了正常人、精神分裂癥患者和無癥狀的患者親屬這三類人群的復(fù)雜腦網(wǎng)絡(luò)差異,尋找客觀的量化指標(biāo)幫助醫(yī)生及時(shí)發(fā)現(xiàn)病癥�；谙嚓P(guān)理論,本文主要完成了如下研究:第一,將直接定向傳遞函數(shù)(Direct Directed Transfer Function,dDTF)作為因果關(guān)系度量值,分別對(duì)三類人群的腦磁圖(Magnetoencephalography,MEG)數(shù)據(jù)進(jìn)行格蘭杰因果關(guān)系分析,基于得出的因果關(guān)系鄰接矩陣構(gòu)建三類人群的因效性腦網(wǎng)絡(luò)。實(shí)驗(yàn)結(jié)果發(fā)現(xiàn),患者相比正常對(duì)照組在額葉區(qū)的因果作用要強(qiáng),在顳葉區(qū)的因果作用要弱。這些異常的因果連接可能是導(dǎo)致患者的精神異常,甚至出現(xiàn)幻聽、幻視等癥狀的原因。值得注意的是患者親屬左中央?yún)^(qū)的因果作用出現(xiàn)缺失,這可能是家族遺傳過程中表現(xiàn)出來的一個(gè)隱性癥狀。第二,研究了三類人群復(fù)雜腦網(wǎng)絡(luò)的網(wǎng)絡(luò)拓?fù)潇�、平均聚類系�?shù)、網(wǎng)絡(luò)全局效率等全局拓?fù)涮匦?并且分析了不同大腦節(jié)律下因效性腦網(wǎng)絡(luò)的特性差異。實(shí)驗(yàn)結(jié)果表明,三類人群腦網(wǎng)絡(luò)的全局拓?fù)涮匦灾g沒有顯著性差異,而在不同大腦節(jié)律下的dDTF均值存在顯著差異。并且正常對(duì)照組和患者在不同節(jié)律下的網(wǎng)絡(luò)全局特征相差不大。此外,患者親屬的各網(wǎng)絡(luò)全局測(cè)度在頻段普遍高于其他兩類人,而在頻段和頻段普遍低于其他兩類人。第三,研究了三類人群復(fù)雜腦網(wǎng)絡(luò)的局部拓?fù)涮匦?即節(jié)點(diǎn)的度、介數(shù)、緊密度和核心數(shù)等網(wǎng)絡(luò)“核心位置”測(cè)度。實(shí)驗(yàn)結(jié)果表明,正常對(duì)照組的腦網(wǎng)絡(luò)分布最為稠密,有較多的核心節(jié)點(diǎn)和核心連接邊,而患者親屬和患者的腦網(wǎng)絡(luò)則相對(duì)稀疏�；颊叩哪X網(wǎng)絡(luò)在額葉區(qū)的因果作用較強(qiáng),而在顳葉區(qū)較弱。根據(jù)實(shí)驗(yàn)結(jié)果推測(cè),患者和患者親屬的某個(gè)節(jié)點(diǎn)與其余大部分節(jié)點(diǎn)喪失了相互作用。在中央額區(qū)三類人群均具有最高介數(shù),是腦網(wǎng)絡(luò)中的核心位置;患者和患者親屬在左中央?yún)^(qū)具有較高介數(shù),且介數(shù)值均高于正常對(duì)照組。此外,患者親屬有較多節(jié)點(diǎn)的緊密度明顯高于正常對(duì)照組和患者。第四,選取不同閾值,研究了三類人群的全頻段分層因效性腦網(wǎng)絡(luò)。通過分析發(fā)現(xiàn),在高閾值和中等閾值下,三類人群的腦網(wǎng)絡(luò)中同一腦區(qū)內(nèi)的信息交流要大于不同腦區(qū)之間的信息交流,從一定程度上表明大腦更符合Hilgetag等人提出的全局稀疏的模塊化分層結(jié)構(gòu)。通過對(duì)網(wǎng)絡(luò)拓?fù)潇氐姆治霭l(fā)現(xiàn),三類人群的網(wǎng)絡(luò)拓?fù)潇卦谥械乳撝迪伦罡?在高閾值下次之,在低閾值下最低。在中高閾值下,正常對(duì)照組的網(wǎng)絡(luò)拓?fù)潇刈罡?患者次之,患者親屬最低。
[Abstract]:Schizophrenia is a severe mental illness, in which some patients suffer from loss of initiative and cognitive function, leading to brain dysfunction and mental disability. Some patients can be cured after treatment. Based on the previous work and Granger causality GCC-based brain network analysis method, this paper deeply studied the normal people. The complex brain network differences between schizophrenic patients and asymptomatic relatives of these three groups, looking for objective quantitative indicators to help doctors find the disease in time. Based on the relevant theory, this paper mainly completed the following research: first, Using direct Directed Transfer function dDTF as causality measure, Granger causality analysis was carried out on Magnetoencephalographic (Meg) data of three groups of people. Based on the resulting causality adjacency matrix, the causal brain network of three groups of people was constructed. The results showed that the causal effect of the patients was stronger than that of the normal control group in the frontal lobe area. The causal effect in temporal lobe area is weak. The causal connection of these abnormalities may be the cause of patients' mental disorders, even hallucinations, hallucinations and other symptoms. It is worth noting that the causal effect of the left central region of the relatives of the patient is missing. This may be a hidden symptom in the family genetic process. Secondly, the network topology entropy, average clustering coefficient, global network efficiency and other global topological properties of the complex brain network of three groups of people are studied. The experimental results show that there is no significant difference in the global topological properties of the brain networks among the three groups of people. However, there were significant differences in the mean value of dDTF in different brain rhythms, and there was no significant difference in the global characteristics of the network between the normal control group and the patient under different rhythms. In addition, the network global measures of the patients' relatives were generally higher than those of the other two groups in the frequency range. In the frequency band and frequency band, it is generally lower than the other two groups of people. Thirdly, the local topological characteristics of the complex brain network of three groups of people are studied, that is, the degree of node, the intermediate number, the density and the core number of the network "core position" measure. The experimental results show that, In the normal control group, the brain network is the most dense, with more core nodes and the core junction edge, while the brain network of the patient's relatives and patients is relatively sparse. The brain network of the patient has a strong causal effect in the frontal lobe area. According to the experimental results, one node of the patient and his relatives lost interaction with most of the other nodes. In the central frontal region, all three populations have the highest number of mediums, which is the core position in the brain network. Patients and relatives of patients had higher mediums in the left central region, and the dielectric values were higher than those in the normal control group. In addition, the tightness of more nodes in the relatives of the patients was significantly higher than that in the normal controls and patients. 4th, different thresholds were selected. In this paper, we studied the three groups of people's hierarchical response brain networks. Through the analysis, we found that the information exchange in the same brain area of the three groups of people was greater than that between different brain regions under the high threshold and the middle threshold. To some extent, it shows that the brain accords with the global sparse modularized layered structure proposed by Hilgetag et al. Through the analysis of the network topology entropy, it is found that the network topology entropy of the three groups of people is the highest at the middle threshold, and the next time at the high threshold. The network topology entropy of the normal control group is the highest, the patient is the second, and the relatives of the patient is the lowest.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R749.3;O157.5

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