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| 研究生： |
曾裕勝 Yu-Sheng Tseng |
|---|---|
| 論文名稱： |
靜息態功能性磁振造影：
預設模式網路海馬迴信號及網路模版建構之研究 Resting-State fMRI: Signal of the parahippocampal gyrus in the default-mode network and constructing network templates |
| 指導教授： |
黃騰毅
Teng-Yi Huang |
| 口試委員: |
劉益瑞
Yi-Jui Liu 林益如 Yi-Ru Lin 蔡尚岳 Shang-Yueh Tsai 王福年 Fu-Nien Wang 莊子肇 Tzu-Chao Chuang |
| 學位類別： |
博士 Doctor |
| 系所名稱： |
電資學院 - 電機工程系 Department of Electrical Engineering |
| 論文出版年： | 2015 |
| 畢業學年度： | 103 |
| 語文別： | 英文 |
| 論文頁數： | 33 |
| 中文關鍵詞： | 磁振造影 、梯度回訊像最佳化關鍵字 、磁振造影 、梯度回訊像 、最佳化 、信號損失 、磁化率 、預設模式網路 、連結度 |
| 外文關鍵詞： | GE-EPI, signal loss, DMN |
| 相關次數： | 點閱：177 下載：2 |
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核磁共振的梯度回訊成像序列，是藉由腦區域中血液的帶氧程度來呈現血氧程度對比，可用來觀察靜止息大腦中神經的自發性活動與並分區為靜止息網路。靜息態網路在近幾年由許多研究提出其結構上與功能上的特徵，大致可分為體感運動網路、聽覺網路、視覺網路、認知網路、額葉顳葉網路、扣帶回腮骨網路、腹側專注網路、杏仁核網路、額葉顳葉網路與預設模式網路等，其中以預設模式網路最具有重現性。本論文主要探討的三個相關研究主題 (1) 靜息態網路的自動計算系統 (2)海馬迴皮質的信號喪失 (3) 靜息態網路模版。我們建立了基於雲端計算的全自動的靜息態網路分析平台，它替本團隊的相關研究提供了一個標準化的計算過程。另外，近幾年有臨床研究提出該網路中後側扣帶回與海馬迴皮質的連結若發生異常，可能與阿茲罕默症產生的病變有關。然而，預設模式網路中的海馬迴反應區域由3T核磁共振收取時較不穩定。海馬迴皮質區的信號強度因為磁化率的不均勻造成信號損失的現象。在本研究中，我們將梯度回訊影像以三種容易實行的切面方向來討論收取到之信號強度與預設模式網路的連結度關係。最後，我們提出了一個分析流程，來自動建構一個包含十三個靜息態網路的腦網路模版。
Previous resting-state functional MRI (fMRI) studies have demonstrated that low-frequency fluctuations of spontaneous neuronal activity in the human brain can be detected using gradient-echo echo-planar imaging (GE-EPI) based on blood oxygenation level-dependent (BOLD) contrast. Several resting-state networks have been identified with their structure and functional features, including somatomotor, auditory, visual, cognitive, frontoparietal, cinguloopercular, dorsal attention, amygdala, and frontotemporal networks as well as the default-mode network (DMN). This thesis is consisted of three major parts: (1) computation system for resting-state fMRI (2) signal loss of the parahippocampal cortex (PHC) (3) constructing a template for resting-state fMRI studies. We built a fully-automatic cloud-computing platform, named MARS, to perform resting-state fMRI analysis. The computation system provides a standardized analysis for the resting-state fMRI data investigated in our group. Among the reported resting-state networks, the DMN is highly reproducible. The results of clinical DMN studies have indicated that disrupted connectivity of posterior cingulate cortex to PHC could account for neuronal disorders such as Alzheimer’s disease (AD). However, PHC activation in the DMN was nearly absent when GE-EPI images were acquired using a 3.0 T MRI scanner. In this thesis, we investigated the signal intensities of GE-EPI images and FC of the DMN by using 3 conventional slice orientations. Finally, we proposed a work-flow to construct a template consisted of 13 networks for resting-state fMRI studies.
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