精神分裂癥和抑郁癥患者核心腦網(wǎng)絡(luò)異常連接模式研究
發(fā)布時(shí)間：2019-06-19 14:23
【摘要】：精神分裂癥是患病率最高的一種重度精神疾病,主要表現(xiàn)為特征性情感、行為、思維、感知等多方面的障礙,并伴有多種認(rèn)知和情感功能損傷。抑郁癥作為最常見的心理情感障礙之一,臨床表現(xiàn)為與處境不相稱的、持久的情緒低落。其發(fā)病率,復(fù)發(fā)率,自殺率很高。作為最常見的兩種精神疾病,精神分裂癥和抑郁癥享有一些相同和不同的臨床特征。近年來(lái),功能磁共振技術(shù)發(fā)現(xiàn),大腦不同腦區(qū)的異常連接可能作為精神疾病的病理生理機(jī)制。探究不同腦區(qū)之間的信息流動(dòng)和整合機(jī)制,對(duì)理解精神疾病的病理生理機(jī)制存在重要意義。特別是,認(rèn)知核心網(wǎng)絡(luò)模型的提出,更加重視探究疾病間的共性和特異性,也暗示著多種精神疾病可能是由于內(nèi)源和外源信息交互異常。該模型認(rèn)為默認(rèn)網(wǎng)絡(luò)、突顯網(wǎng)絡(luò)和中央執(zhí)行網(wǎng)絡(luò)之間的異常連接模式是精神疾病病理機(jī)制的核心所在。然而,至今少有文獻(xiàn)關(guān)注在這三個(gè)核心網(wǎng)絡(luò)之間,不同的精神疾病是否存在一些相同或者不同的異常連接。本文以此作為出發(fā)點(diǎn)和落腳點(diǎn),探究默認(rèn)網(wǎng)絡(luò)、突顯網(wǎng)絡(luò)和中央執(zhí)行網(wǎng)絡(luò)之間的連接模式,分別采用功能連接分析和格蘭杰因果分析評(píng)測(cè)網(wǎng)絡(luò)間的信息整合和信息交流,重點(diǎn)關(guān)注兩種疾病間同向和反向的異常改變連接。在本研究中,采集精神分裂癥患者、抑郁癥患者和健康對(duì)照組每組各20名被試的靜息態(tài)功能磁共振數(shù)據(jù)。首先利用先驗(yàn)信息,確定默認(rèn)網(wǎng)絡(luò)和中央執(zhí)行網(wǎng)絡(luò)核心節(jié)點(diǎn),即后扣帶和背外側(cè)前額皮層腦區(qū)。采用基于全腦功能連接圖譜的K均值聚類方法,將腦島分為三個(gè)亞區(qū),從而定位出突顯網(wǎng)絡(luò)的核心節(jié)點(diǎn)——背側(cè)前腦島。然后,利用基于種子點(diǎn)的功能連接分析定位出三個(gè)核心網(wǎng)絡(luò)的空間分布。然后計(jì)算種子點(diǎn)和核心網(wǎng)絡(luò)內(nèi)每個(gè)體素的功能連接和有效連接,分別刻畫不同腦區(qū)間功能整合和信息傳遞。著重關(guān)注兩個(gè)種疾病間同向和反向改變的連接模式。最后,采用偏相關(guān)分析探究改變的連接和臨床資料的關(guān)系。本文發(fā)現(xiàn)三核心網(wǎng)絡(luò)間的連接存在同向和反向的改變模式。在功能連接水平:默認(rèn)模式網(wǎng)絡(luò)和中央執(zhí)行網(wǎng)絡(luò)之間存在反向改變的功能連接。相較于正常對(duì)照組,背外側(cè)前額皮層和內(nèi)側(cè)前額皮層的功能連接以及后扣帶和額下回三角部區(qū)域的功能連接在精神分裂癥組呈現(xiàn)顯著上升,而在抑郁癥組顯著下降。這種反向改變的功能連接可能源于“自參考”功能異常,因而表現(xiàn)出不同的表象:抑郁癥中過(guò)多的自我歸因和精神分裂癥中過(guò)少甚至缺失的自我認(rèn)識(shí)。在有效連接網(wǎng)絡(luò)水平:發(fā)現(xiàn)精神分裂癥和抑郁癥患者的默認(rèn)網(wǎng)絡(luò)和突顯網(wǎng)絡(luò)之間存在同向改變模式的有效連接,即相較于正常對(duì)照組,兩患者組從后扣帶到背側(cè)前腦島和顳頂交界區(qū)的有效連接均增強(qiáng);而從背側(cè)前腦島腦島到后扣帶的有效連接減弱。這一同向改變的有效連接可能反映了默認(rèn)網(wǎng)絡(luò)和突顯網(wǎng)絡(luò)之間動(dòng)態(tài)信息交互在兩種疾病間出現(xiàn)平行的缺陷,可能和兩種疾病間共同的認(rèn)知和情感損傷有關(guān)。
[Abstract]:Schizophrenia is the highest prevalence of a kind of severe mental illness, mainly characterized by the characteristic emotion, behavior, thinking, perception, etc., with a variety of cognitive and emotional function damage. Depression is one of the most common psychological affective disorders, and the clinical manifestations are out of proportion with the situation, and the persistent mood is low. Its incidence, recurrence rate and suicide rate are high. Schizophrenia and depression have some of the same and different clinical features as the most common two psychiatric disorders. In recent years, functional magnetic resonance (MRI) has found that abnormal connections in different brain regions of the brain may be a pathophysiological mechanism of mental illness. To explore the mechanism of information flow and integration among different brain regions, it is of great significance to understand the pathophysiological mechanism of mental illness. In particular, the concept of cognitive core network model has given more attention to exploring the commonness and specificity among diseases, and also suggests that various mental disorders may be due to the abnormal interaction of endogenous and foreign information. The model considers that the default network, highlighting the abnormal connection pattern between the network and the central executive network, is the core of the psychopathology. However, there has so far been little literature on the existence of some of the same or different abnormal connections between these three core networks. In this paper, as the starting point and the landing point, the default network is explored, the connection mode between the network and the central executive network is highlighted, the functional connection analysis and the Granger causality analysis are used to evaluate the information integration and information exchange among the networks, respectively. The focus is on the connection of the two diseases with the abnormal change in the direction and the reverse direction. In this study,20 of the 20 tested resting-state magnetic resonance data in each group of the patients with schizophrenia, the patients with depression and the healthy control group were collected. First, using the prior information, it is determined that the default network and the central execution network core node, i.e., the back-and back-lateral prefrontal cortex areas. The K-means clustering method based on the whole-brain functional linkage map is used to divide the brain island into three subareas, so as to locate the core node _ dorsal forebrain island of the highlight network. Then, the spatial distribution of the three core networks is located using the function connection analysis based on the seed point. Then the functional connection and the effective connection of each voxel in the seed point and the core network are calculated, and the functional integration and the information transfer of different brain intervals are respectively described. Focus on the connection pattern between the two diseases in the same direction and in the reverse direction. Finally, the relationship between the change of the connection and the clinical data was explored by the analysis of the partial correlation. In this paper, it is found that the connection between the three core networks is in the same direction and in the reverse mode. At the functional connection level: there is a reverse-change function connection between the default mode network and the central execution network. The functional connection between the dorsolateral prefrontal cortex and the medial prefrontal cortex, as well as the functional connection of the back and lower back-back delta regions, showed a significant increase in the schizophrenia group compared to the normal control group, while a significant decrease in the depression group. The functional connection of this reverse change may stem from the abnormal "self-reference" function, thus showing different symptoms: too many self-attribution in the depression and the excessive or even missing self-awareness in the schizophrenia. In the effective connection network level: the effective connection of the default network and the highlight network of the patients with schizophrenia and depression is found, that is, the effective connection between the two patient groups from the back button to the back-side forebrain island and the top-top interface area is enhanced compared with the normal control group; And the effective connection of the back-back belt from the back-side forebrain island to the back-back belt is reduced. This effective connection to the change may reflect the parallel defect of the dynamic information interaction between the default network and the highlight network between the two diseases, possibly related to a common cognitive and emotional damage between the two diseases.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R749
本文編號(hào)：2502411
[Abstract]:Schizophrenia is the highest prevalence of a kind of severe mental illness, mainly characterized by the characteristic emotion, behavior, thinking, perception, etc., with a variety of cognitive and emotional function damage. Depression is one of the most common psychological affective disorders, and the clinical manifestations are out of proportion with the situation, and the persistent mood is low. Its incidence, recurrence rate and suicide rate are high. Schizophrenia and depression have some of the same and different clinical features as the most common two psychiatric disorders. In recent years, functional magnetic resonance (MRI) has found that abnormal connections in different brain regions of the brain may be a pathophysiological mechanism of mental illness. To explore the mechanism of information flow and integration among different brain regions, it is of great significance to understand the pathophysiological mechanism of mental illness. In particular, the concept of cognitive core network model has given more attention to exploring the commonness and specificity among diseases, and also suggests that various mental disorders may be due to the abnormal interaction of endogenous and foreign information. The model considers that the default network, highlighting the abnormal connection pattern between the network and the central executive network, is the core of the psychopathology. However, there has so far been little literature on the existence of some of the same or different abnormal connections between these three core networks. In this paper, as the starting point and the landing point, the default network is explored, the connection mode between the network and the central executive network is highlighted, the functional connection analysis and the Granger causality analysis are used to evaluate the information integration and information exchange among the networks, respectively. The focus is on the connection of the two diseases with the abnormal change in the direction and the reverse direction. In this study,20 of the 20 tested resting-state magnetic resonance data in each group of the patients with schizophrenia, the patients with depression and the healthy control group were collected. First, using the prior information, it is determined that the default network and the central execution network core node, i.e., the back-and back-lateral prefrontal cortex areas. The K-means clustering method based on the whole-brain functional linkage map is used to divide the brain island into three subareas, so as to locate the core node _ dorsal forebrain island of the highlight network. Then, the spatial distribution of the three core networks is located using the function connection analysis based on the seed point. Then the functional connection and the effective connection of each voxel in the seed point and the core network are calculated, and the functional integration and the information transfer of different brain intervals are respectively described. Focus on the connection pattern between the two diseases in the same direction and in the reverse direction. Finally, the relationship between the change of the connection and the clinical data was explored by the analysis of the partial correlation. In this paper, it is found that the connection between the three core networks is in the same direction and in the reverse mode. At the functional connection level: there is a reverse-change function connection between the default mode network and the central execution network. The functional connection between the dorsolateral prefrontal cortex and the medial prefrontal cortex, as well as the functional connection of the back and lower back-back delta regions, showed a significant increase in the schizophrenia group compared to the normal control group, while a significant decrease in the depression group. The functional connection of this reverse change may stem from the abnormal "self-reference" function, thus showing different symptoms: too many self-attribution in the depression and the excessive or even missing self-awareness in the schizophrenia. In the effective connection network level: the effective connection of the default network and the highlight network of the patients with schizophrenia and depression is found, that is, the effective connection between the two patient groups from the back button to the back-side forebrain island and the top-top interface area is enhanced compared with the normal control group; And the effective connection of the back-back belt from the back-side forebrain island to the back-back belt is reduced. This effective connection to the change may reflect the parallel defect of the dynamic information interaction between the default network and the highlight network between the two diseases, possibly related to a common cognitive and emotional damage between the two diseases.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R749
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相關(guān)期刊論文 前3條
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