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研究生: 黃俊皓
Chun-hao Huang
論文名稱: 大腦功能性連結:預設網路強度與代謝物濃度之關聯性
Functional Connectivity in Human Brain: Default Mode Network Intensity and Metabolite Concentrations
指導教授: 林益如
Yi-ru Lin
口試委員: 蔡尚岳
Shang-yueh Tsai
黃騰毅
Teng-yi Huang
鍾孝文
Siap-wun Jhong
吳文超
Wen-chao Wu
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2014
畢業學年度: 102
語文別: 英文
論文頁數: 31
中文關鍵詞: 休息狀態網路預設網路谷氨酸鹽面迴訊氫原子核磁振頻譜影像
外文關鍵詞: Default mode network;PEPSI;MRSI;rsfMRI;Metabolit
相關次數: 點閱:178下載:4
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  • 休息狀態網路為一種利用休息狀態磁振造影來量測神經元活動所引發之血氧濃度變化的訊號。其中大腦預設網路已被證實,當大腦於高認知功能需求時會減少其活化,且常用於查證神經功能障礙疾病,最近也有一些研究顯示大腦功能的活躍性與神經性代謝物濃度相關如:穀氨酸、穀氨醯胺及γ-氨基丁酸。本研究中,我們結合休息狀態磁振造影和磁振頻譜成像,找尋Glx(Glutamate +Glutamine)代謝物濃度與預設網路強度之間的關聯性。我們利用快速的磁共振頻譜影像技術面迴訊氫原子核磁振頻譜影像收取代謝物的分佈情形。結合面迴訊影像,分別使用個人與群體獨立成份分析法找尋到每位受試者的預設網路強度。再將其進行線性回歸分析。研究結果顯示,Glx代謝物濃度與預設網路強度在楔前葉與前扣帶皮層有正相關,且楔前葉與前扣帶皮層都為預設網路內的區域,因此Glx代謝物濃度與預設網路應該有其關聯性。而在個人與群體獨立成份分析法中則沒有得到明顯的差異。


    Resting state networks which relate to the alterations of coherent intrinsic neuronal activity based on blood oxygen level-dependent (BOLD) fluctuations can be observed in the resting state functional magnetic resonance imaging (rsfMRI). Among all resting state networks, default mode network (DMN) has been shown to exhibit reduced activation in the presence of high cognitive demand and has been used to investigate the neuronal dysfunctions. Recently, there are several studies showing that functional activity can be related to the baseline metabolic levels, such as glutamate, glutamine and GABA. In our research, we combine rsfMRI and MRS to find the revelation between the intensity of DMN and the concentration of brain metabolites especially Glx (glutamate+glutamine). We use proton echo planar spectroscopy imaging (PEPSI), as a fast magnetic resonance spectroscopic imaging (MRSI) method, is able to acquire the distribution of brain metabolites with acceptable reproducibility in the medial wall. Combining with echo planar imaging (EPI) and find the subject’s DMN component by individual (iICA) and group (gICA) individual component analysis. The results of regression successfully shows that Glx has positive correlation with DMN intensity in precuneus and anterior cingulate cortex which are the region in DMN, and the results of iICA and gICA have no significant different.

    ABSTRACT 1 摘 要 2 Figures 4 Tables 6 誌謝 7 Chapter 1. Introduction 8 1.1 Default Mode Network 8 1.2 Independent Component Analysis (ICA) 9 1.3 Fast Spectroscopy Imaging: Proton Echo Planar Spectroscopic Imaging (PEPSI) 10 1.4 Glutamate and Glutamine 11 1.5 Background and Motivation 12 Chapter 2. Methods and Materials 14 2.1 Subjects 14 2.2 Resting state fMRI 14 2.3 T1 15 2.4 ICA 16 2.5 PEPSI MRSI 19 2.6 MRS–rsfMRI associations 20 Chapter 3. Results 22 3.1 iICA & gICA 22 3.2 Warping Registration 24 3.3 MRSI–rsfMRI Regression 26 3.3.1 Voxel-based Regression 26 3.3.2 Region-based Regression 28 Chapter 4. Discussion 33 4.1 iICA & gICA 33 4.2 Warping Registration 33 4.3 MRS–rsfMRI Regression 34 4.4 Regression Method 35 Chapter 5. Conclusion and Future Work 36 Chapter 6. References 37

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