基于電生理的顳葉癲癇腦網(wǎng)絡機制研究
發(fā)布時間：2018-08-25 19:31
【摘要】：顳葉癲癇(TLE)是一種在成年人中最常見的難治性癲癇。近年來,應用復雜網(wǎng)絡分析方法,研究大腦區(qū)域間的連接變化和神經(jīng)疾病的發(fā)作機制,已成為腦科學研究的熱點。新近的研究表明,顳葉癲癇的發(fā)作和傳播過程中伴隨多個腦區(qū)的活動和功能連接的異常,這說明基于復雜網(wǎng)絡的TLE機制研究,對于我們進一步理解顳葉癲癇的神經(jīng)機制具有重要的意義。然而,目前TLE相關腦區(qū)在癲癇發(fā)作過程中所扮演的關鍵角色仍不清楚。本學位論文基于氯化鋰-匹魯卡品顳葉癲癇大鼠模型的多通道顱內(nèi)腦電信號,探究不同頻段下腦區(qū)間的功能連接和大腦拓撲結構隨顳葉癲癇發(fā)作過程的變化。本學位論文主要研究內(nèi)容及結果如下:1.對EEG信號進行時頻分析和功率譜分析,發(fā)現(xiàn)TLE發(fā)作的主要節(jié)律是Delta(1-4 Hz)、Theta(4-8 Hz)和Alpha(8-12 Hz)頻段。利用信息熵分析節(jié)點復雜度變化,發(fā)現(xiàn)局部腦區(qū)(背內(nèi)側(cè)丘腦、海馬CA1區(qū)、前額葉皮質(zhì)、前扣帶皮質(zhì)和第一運動皮層)在TLE發(fā)作前期先于其他腦區(qū)出現(xiàn)復雜度的顯著性升高。2.對腦區(qū)間的相干值分析,發(fā)現(xiàn)大發(fā)作時期腦區(qū)間的耦合性在Delta、Theta和Alpha頻段均出現(xiàn)顯著性增強,在發(fā)作前期和發(fā)作后期皮層與皮層下結構間的耦合性在各頻段下均出現(xiàn)顯著性增強。3.在Delta、Theta和Alpha頻段,利用獨立有效相干算法分析腦區(qū)間的因果流向變化,發(fā)現(xiàn)局部皮層與皮層下結構間因果流向隨著顳葉癲癇發(fā)作的動態(tài)變化過程,這一變化過程可能對顳葉癲癇的發(fā)作與傳播起著重要的作用。4.對因果網(wǎng)絡使用圖論方法分析,發(fā)現(xiàn)在TLE發(fā)作過程中,因果網(wǎng)絡的全局效率、局部效率和聚類系數(shù)都高于基線狀態(tài),并且這些網(wǎng)絡屬性在發(fā)作前期出現(xiàn)顯著性升高,隨后開始逐漸下降,同時因果網(wǎng)絡在發(fā)作過程中呈現(xiàn)較強的“小世界”屬性。綜上所述,我們的研究結果表明,Delta、Theta和Alpha頻段可能是TLE發(fā)作的關鍵節(jié)律,并且不同的發(fā)作狀態(tài)有不同的節(jié)律特性;局部皮層與皮層下結構間相互的因果作用在TLE的發(fā)作與傳播中起著重要的作用;TLE發(fā)作時,因果網(wǎng)絡傾向于更加規(guī)則化,腦區(qū)間的交互效率增強。這些發(fā)現(xiàn),使我們對TLE具體的產(chǎn)生發(fā)展機制有了更進一步的認識。
[Abstract]:Temporal lobe epilepsy (TLE) is one of the most common refractory epilepsy in adults. In recent years, using the complex network analysis method to study the changes of the connections between brain regions and the attack mechanism of neural diseases has become a hot spot in brain science. Recent studies have shown that the seizure and spread of temporal lobe epilepsy are accompanied by abnormalities in activity and functional connections in multiple brain regions, suggesting that TLE mechanisms based on complex networks are studied. It is of great significance for us to further understand the neural mechanism of temporal lobe epilepsy. However, the key role of TLE-related brain regions in epileptic seizures remains unclear. Based on the multichannel intracranial EEG of the rat model of lithium-Pilucapine temporal lobe epilepsy, the functional connections of the brain and the changes of the brain topological structure with the seizure process of the temporal lobe were investigated in different frequency bands. The main contents and results of this dissertation are as follows: 1. By time-frequency analysis and power spectrum analysis of EEG signal, it was found that the main rhythm of TLE attack was Delta (1-4 Hz) Theta (4-8 Hz) and Alpha (8-12 Hz). Using information entropy to analyze the changes of node complexity, it was found that the local brain regions (dorsal medial thalamus, hippocampal CA1 region, prefrontal cortex, anterior cingulate cortex and first motor cortex) had a significant increase in complexity before the onset of TLE. The results of coherence analysis showed that the coupling of cerebral regions was significantly enhanced in Delta,Theta and Alpha bands, and the coupling between cortical and subcortical structures in preictal and late seizures was significantly enhanced in each frequency range. In the band of Delta,Theta and Alpha, the independent effective coherence algorithm was used to analyze the causal direction of brain region. The dynamic change process of causal direction between local cortex and subcortical structure with temporal lobe seizure was found. This process may play an important role in the onset and spread of temporal lobe epilepsy. It is found that the global efficiency, local efficiency and clustering coefficient of the causal network are higher than the baseline state during the onset of TLE, and the attributes of these networks are significantly increased in the early stage of the attack. Then it began to decline, and the causal network showed a strong "small world" attribute during the attack. In conclusion, our results indicate that the Alpha and Theta bands may be the key rhythms of TLE attacks, and different seizure states have different rhythmic characteristics. The causal interaction between local cortex and subcortical structure plays an important role in the onset and transmission of TLE. These findings make us have a further understanding of the specific mechanism of TLE production and development.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R742.1
本文編號：2203878
[Abstract]:Temporal lobe epilepsy (TLE) is one of the most common refractory epilepsy in adults. In recent years, using the complex network analysis method to study the changes of the connections between brain regions and the attack mechanism of neural diseases has become a hot spot in brain science. Recent studies have shown that the seizure and spread of temporal lobe epilepsy are accompanied by abnormalities in activity and functional connections in multiple brain regions, suggesting that TLE mechanisms based on complex networks are studied. It is of great significance for us to further understand the neural mechanism of temporal lobe epilepsy. However, the key role of TLE-related brain regions in epileptic seizures remains unclear. Based on the multichannel intracranial EEG of the rat model of lithium-Pilucapine temporal lobe epilepsy, the functional connections of the brain and the changes of the brain topological structure with the seizure process of the temporal lobe were investigated in different frequency bands. The main contents and results of this dissertation are as follows: 1. By time-frequency analysis and power spectrum analysis of EEG signal, it was found that the main rhythm of TLE attack was Delta (1-4 Hz) Theta (4-8 Hz) and Alpha (8-12 Hz). Using information entropy to analyze the changes of node complexity, it was found that the local brain regions (dorsal medial thalamus, hippocampal CA1 region, prefrontal cortex, anterior cingulate cortex and first motor cortex) had a significant increase in complexity before the onset of TLE. The results of coherence analysis showed that the coupling of cerebral regions was significantly enhanced in Delta,Theta and Alpha bands, and the coupling between cortical and subcortical structures in preictal and late seizures was significantly enhanced in each frequency range. In the band of Delta,Theta and Alpha, the independent effective coherence algorithm was used to analyze the causal direction of brain region. The dynamic change process of causal direction between local cortex and subcortical structure with temporal lobe seizure was found. This process may play an important role in the onset and spread of temporal lobe epilepsy. It is found that the global efficiency, local efficiency and clustering coefficient of the causal network are higher than the baseline state during the onset of TLE, and the attributes of these networks are significantly increased in the early stage of the attack. Then it began to decline, and the causal network showed a strong "small world" attribute during the attack. In conclusion, our results indicate that the Alpha and Theta bands may be the key rhythms of TLE attacks, and different seizure states have different rhythmic characteristics. The causal interaction between local cortex and subcortical structure plays an important role in the onset and transmission of TLE. These findings make us have a further understanding of the specific mechanism of TLE production and development.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R742.1
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