【摘要】：近年來,隨著功能磁共振和神經(jīng)電生理技術(shù)的開發(fā)與利用,人腦活動數(shù)據(jù)的采集已經(jīng)成為可能。如何從腦活動數(shù)據(jù)中發(fā)現(xiàn)具有生物學(xué)意義的知識及規(guī)律,正在成為當(dāng)前神經(jīng)信息學(xué)理論與實踐研究的熱點與難點。與此同時,復(fù)雜網(wǎng)絡(luò)的研究在快速發(fā)展,在眾多領(lǐng)域得到應(yīng)用,研究者采用相同量化參數(shù),發(fā)現(xiàn)一些共有的拓?fù)浣Y(jié)構(gòu)。人腦功能需要不同的神經(jīng)環(huán)路交互作用才能實現(xiàn),在復(fù)雜網(wǎng)絡(luò)研究框架下,以交互作用為網(wǎng)絡(luò)連接,以解剖腦區(qū)或電極為網(wǎng)絡(luò)節(jié)點,構(gòu)造腦功能網(wǎng)絡(luò),研究不同狀態(tài)下的網(wǎng)絡(luò)拓?fù)涮匦?有助于揭示腦內(nèi)信息加工機制。 本論文基于功能磁共振和腦電數(shù)據(jù),從復(fù)雜網(wǎng)絡(luò)角度,分別研究了靜息狀態(tài)、冥想狀態(tài)、任務(wù)狀態(tài)的腦功能網(wǎng)絡(luò)拓?fù)涮匦�。論文的主要研究工作及貢獻(xiàn)包括以下幾個方面： 1.研究靜息態(tài)腦功能網(wǎng)絡(luò)的非隨機拓?fù)浣Y(jié)構(gòu)�；o息態(tài)功能磁共振數(shù)據(jù),采用標(biāo)準(zhǔn)腦模板和偏相關(guān)方法來構(gòu)建人腦功能網(wǎng)絡(luò),并進(jìn)行拓?fù)浣Y(jié)構(gòu)分析。以最大生成樹的方法進(jìn)行腦網(wǎng)絡(luò)骨架可視化,結(jié)果發(fā)現(xiàn)樹中央?yún)^(qū)域主要由默認(rèn)模式網(wǎng)絡(luò)和注意網(wǎng)絡(luò)腦區(qū)組成。應(yīng)用譜平分算法,整個腦網(wǎng)絡(luò)以劃分成大小不同的具有生物學(xué)意義的功能團結(jié)構(gòu),每個團具有相對獨立的功能。研究腦網(wǎng)絡(luò)節(jié)點和連接在功能團內(nèi)部和外部的作用,結(jié)果發(fā)現(xiàn)處于拓?fù)渲行牡暮诵墓?jié)點和橋共同形成腦網(wǎng)絡(luò)信息整合的中心。本研究勾畫出人腦功能網(wǎng)絡(luò)骨架和功能團結(jié)構(gòu)的圖譜,有利于我們進(jìn)一步理解腦內(nèi)信息加工的功能分割和功能整合機制。 2.研究高低頻段對靜息態(tài)腦功能網(wǎng)絡(luò)的影響。將靜息態(tài)數(shù)據(jù)劃分為高頻段(0.027～0.073Hz)和低頻段(0.01～0.027Hz),構(gòu)建差異化腦功能網(wǎng)絡(luò),計算二組頻段的低頻振蕩振幅、局部一致性、功能連通性等量化指標(biāo)的差異。結(jié)果發(fā)現(xiàn),頻段差異主要集中在默認(rèn)模式網(wǎng)絡(luò)的中線位置和杏仁核功能區(qū)域。本研究的差異化腦功能網(wǎng)絡(luò)的構(gòu)建方法和頻率對腦功能網(wǎng)絡(luò)影響范圍的發(fā)現(xiàn)拓展了腦功能網(wǎng)絡(luò)研究思路。 3.冥想狀態(tài)腦功能網(wǎng)絡(luò)特性研究。比較一個月冥想訓(xùn)練前后的腦功能網(wǎng)絡(luò)拓?fù)涮匦院瓦B通模式,發(fā)現(xiàn)處于大腦自我調(diào)節(jié)中心的前扣帶回腦區(qū)的效率呈現(xiàn)增加趨勢,而輔助運動區(qū)網(wǎng)絡(luò)指標(biāo)值呈現(xiàn)下降趨勢,這種網(wǎng)絡(luò)特性的改變可能用米維持通過訓(xùn)練達(dá)到的冥想狀態(tài)。本研究從新的網(wǎng)絡(luò)視角提供了經(jīng)驗相關(guān)的腦功能網(wǎng)絡(luò)特性改變的實證支持。 4.任務(wù)狀態(tài)腦功能網(wǎng)絡(luò)的差異性研究�；谑录嚓P(guān)電位數(shù)據(jù),采用同步似然方法計算電極間的功能關(guān)系,分析和比較了在道德兩難決策過程中涉及個人和非涉及個人情景下的腦功能網(wǎng)絡(luò)特性的差別。研究發(fā)現(xiàn),涉及個人情景在右腦有更多更強的長程連接,并且與額葉有關(guān),揭示了腦功能網(wǎng)絡(luò)的連通模式與道德兩難決策中認(rèn)知和情感間沖突程度的表征有著密切關(guān)系。本研究提出道德加工的分布式機制和發(fā)現(xiàn)高沖突道德兩難的大腦右側(cè)化現(xiàn)象,有助于為任務(wù)腦功能網(wǎng)絡(luò)和道德認(rèn)知神經(jīng)科學(xué)的研究拓寬思路。 總之,本論文對幾種典型狀態(tài)的腦功能網(wǎng)絡(luò)做了一次系統(tǒng)研究的重要嘗試,獲得了一些有價值的結(jié)果。論文所提的方法和研究結(jié)果將促進(jìn)腦功能網(wǎng)絡(luò)研究的發(fā)展和完善,為筆者未來研究工作奠定了堅實的基礎(chǔ)。
[Abstract]:In recent years, with the development and utilization of functional magnetic resonance and neuroelectrophysiology, the data collection of human brain activity has become possible. How to find the knowledge and law of biological meaning from the data of brain activity is becoming a hot point and difficulty in the research of the theory and practice of the present neuroinformatics. At the same time, the research of complex network has been applied in many fields, and the researchers used the same quantization parameters to find some common topological structures. The functions of the human brain need different neural-loop interaction to realize, under the complex network research framework, the network nodes are connected by the interaction as the network, the brain function network is constructed, and the network topology characteristics in different states are studied. It can help to reveal the mechanism of information processing in the brain. Based on the functional magnetic resonance and brain electrical data, the paper studies the network topology of the brain function of resting state, meditative state and task state from the complex network angle. The main research work and contribution of the paper include the following Aspect: 1. To study the non-follow-up of the resting-state brain function network Machine topology. Based on the magnetic resonance data of the function of resting state, the functional network of human brain is constructed by standard brain template and partial correlation method. The method of the maximum spanning tree is used to visualize the skeleton of the brain, and the central area of the tree is mainly composed of the default mode network and the attention net. The application spectrum bisection algorithm, the whole brain network is divided into a functional group structure with biological significance which is different in size, Independent function. To study the role of the brain network node and the connection within and outside the functional group, as a result, it is found that the core node and the bridge at the center of the topology together form the brain network information This study shows the map of the structure of the human brain function network skeleton and the functional group, which is helpful for us to further understand the function division and work of the information processing in the brain. can fit the whole mechanism....................................................... The effect of the brain function network is as follows: the rest state data is divided into high frequency band (0.027-0.073Hz) and low-frequency segment (0.01-0.027Hz), and the differentiated brain function network is constructed, and the low-frequency oscillation amplitude, local consistency and functional connectivity of the two-group frequency band are calculated The result shows that the frequency band difference is mainly in the middle line position of the default mode network and the discovery of the influence range of the frequency on the brain function network expands the brain. functional network research thinking. 3. Meditation The study of the characteristics of the functional network of the state brain is to compare the network topology and the model of the brain function before and after the one-month meditation training, and find that the efficiency of the anterior cingulate gyrus in the center of the brain self-regulation is increasing, and the auxiliary motion area The network index value presents a downward trend, and this change in network characteristics may be maintained in meters This study provides experience-related brain functions from a new network perspective The empirical support of the change of network characteristics. Based on the event-related potential data, the functional relation between the electrodes is calculated by a synchronous quasi-linear method, and the personal and non-involved individuals in the course of moral dilemma are analyzed and compared. The study found that there are more and more long-range connections between the right brain and the right brain, and it is related to the frontal lobe, which reveals the cognitive and emotion of the communication model and the moral dilemma in the brain function network. It is closely related to the characterization of the degree of inter-conflict. This study brings forward the distributed mechanism of moral processing and the right-to-the-right phenomenon of the brain in which high-conflict moral dilemma is found, which is helpful to the task brain function network and the channel. In general, this paper has done a systematic study on the brain function network of several typical states. The method and research result of the paper will promote the development and perfection of the research of the brain function network.
【學(xué)位授予單位】：大連理工大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2013
【分類號】：R318.04;O157.5

【引證文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

1 張?zhí)m華;復(fù)雜網(wǎng)絡(luò)建模的仿真與應(yīng)用研究[D];大連理工大學(xué);2013年

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本文編號：2323962