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研究生：	廖明忠 Liao, Ming-Chung
論文名稱：	多頻道記錄腦部神經訊號做為動物行為之研究 Multi-Site Recording Brain Activity for Animal Behavior Studies
指導教授：	陳家進 Chen, Jia-Jin
學位類別：	碩士 Master
系所名稱：	工學院 - 醫學工程研究所 Institute of Biomedical Engineering
論文出版年：	2003
畢業學年度：	91
語文別：	英文
論文頁數：	31
中文關鍵詞：	多頻道紀錄、獨立成分分析法、動物行為研究、體誘發電位
外文關鍵詞：	Multi-site recording, Independent component analysis, Animal behavior study, Somatosensory evoked potential
相關次數：	點閱：132 下載：1
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多頻道紀錄的技術已經被使用在取得影響資訊處理的廣大叢集神經元的特徵。本研究的目的是建立一套多頻道紀錄腦部神經元活性的系統，以及利用訊號處理的方法來擷取潛在的根源。我們將以完成一系列的動物實驗，來印證所提出的紀錄系統與分析方法為適用。首先，將麻醉Wistar種類的公鼠，再將其放在立體3D定位儀器上，以方便將電極植入主要感覺皮質區。在實驗過程中，紀錄由刺激老鼠尾巴根部所產生的體誘發電位。由於是多頻道的紀錄方式，則可利用多變數的統計方法,稱為獨立成分分析法，在神經元同時被記錄時，重新找到訊號來源，而且也能除去在電極和獨立的訊號來源間的部分同時發生之資訊。將被分解出來的訊號，利用腦部電位托撲圖來表示，以觀察訊號在腦部時空的分布。我們的結果指出獨立成分分析法的演算法，在同時紀錄體誘發電位的實驗中，能夠將電刺激的雜訊與體誘發電位分離出來，而且在這同時紀錄的體誘發電位中，能再分離出明顯的獨立成分。本研究的的長遠目的，建立一套多頻道紀錄腦部細胞外活性的系統，以探討自由活動的動物行為實驗。

The technique for multi-site recording has been used for characterizing the dispersed activities among large populations of neurons involved in processing information. The aim of this study is to establish a signal measurement system for multi-site recording of brain activities and signal analysis method for extracting the underlying sources. To validate the proposed recording systems and analysis methods, a series of animal experiments were performed. The male Wistar rats were first anesthetized and then transferred to stereotaxic apparatus for implantation of multi-ware electrode located in both primary sensory cortex (SI). During the experiment, sessions of measurements for somatosensory evoked potential (SEP), induced by electrical stimulus at rat’s tail base, were recorded. With the multi-site recordings, a multivariate statistical method, called independent component analysis (ICA), was used to decompose the sources between concurrently recorded neurons and reduce the overlapping information measured from independent sources. The decomposed signals were represented in a topographic form to observe the spatiotemporal distribution of the brain mapping. Our results indicated that the ICA algorithm could separate the stimulus artifact from the SEP that significantly distinguish independent signal characteristics in simultaneous SEP recordings. The ultimate goal of this study is to perform multi-site recording of brain activities for studying the animal behavior at a free movement condition.

Chinese Abstract   I
Abstract          II
Contents          II
List of Tables     V
List of Figures  VII


Chapter 1	 Introduction                                     1
1.1 Multi-site Recording of Brain Activity                        1
1.2 Separate Sources from Linear Summation of multivariate data   2
1.3 Motivations and Purposes                                      5
Chapter 2   Material and Methods                                  6
2.1 The Brain Activity Recording System                           6
2.2 Recording Brain Activity                                     11
2.3 Analysis of Bain Information from Multi-site Recording       12
2.3.1 Principle Component Analysis                               12
2.3.2 Independent Component Analysis                             13
2.4 Topographic mapping                                          19
Chapter 3	 Results                                         20
3.1 Baseline of Cortical EEG                                     21
3.2 Measurement of Somatosensory Evoked potential (SEP)          21
3.3 Data Analysis by Applying PCA and ICA                        22
3.3.1 Data Analysis by PCA                                       22
3.3.2 Data Analysis by ICA                                       23
3.4 Spatio-temporal distribution of SEP                          25
Chapter 4	 Discussion and Conclusion                       27
Reference                                                        29

Figure1.2.1 Multi-wire electrode has been used for studying multi-site recording brain activities                                                   2
Figure 1.3.1 The multi-electrode records overlapping signals from adjacent electrodes                                                         3
Figure 1.3.2 Blind Source Separation (BSS)                         4
Figure 2.1.1. Overview of the multi-site brain activity recording system
                                                        6
Figure 2.1.2. The layout of preamplifier and amplifiers     7
Figure 2.1.3 Modular design of amplifiers                          8
Figure 2.1.4 Configuration of data acquiring and signals processing system
                                                                   8
Figure2.1.5 The recording of 16 channels sine wave                 10
Figure2.1.6 The correlation coefficient                            10
Figure 2.3.1 Animals in preparation for multi-site recording      11
Figure 2.3.2 The flow chart of animal experiments for validation purpose                                                                  12
Figure 2.2.1 The theory of PCA and PCs are uncorrelated           13
Figure 2.2.2. The variance of PCs are maximized and the sources become uncorrelated                                                      14
Figure 2.2.3 The ICA and PCA model                                15
Figure 2.2.4 The Gaussian distribution versus the nongaussian distribution                                                                16
Figure2.2.5 The procedures of FastICA                             18
Figure3.1.1 The baseline of 7 channels cortical EEG               20
Figure3.2.1 The SEP of one channel after one stimulus pulse       21
Figure3.2.2 Multi-site SEP signals that extracted from averaging method       
22
Figure3.3.1 Six components extracted by PAC                       23
Figure3.3.2 Six independent components are separated by the ICA   24
Figure3.3.3 SEP consists of two independent components            24
Figure3.3.4 The stimulus artifact                                 25
Figure3.4.1 Topographical map of SEP at different time            26
Figure3.4.2 The location of electrodes in rat’s brain            26

Table 2.2.1. The differences between PCA and ICA                  19
                                    

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校外：2003-07-09公開

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