本文關(guān)鍵詞： 功能磁共振成像 一般線性模型 獨(dú)立成分分析 針刺效應(yīng) 組間獨(dú)立成分分析　出處：《湖南大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：針刺醫(yī)學(xué)是中華民族優(yōu)秀傳統(tǒng)科學(xué)和文化的瑰寶，其應(yīng)用廣泛，療效顯著，為中華民族的繁榮昌盛作出了重大貢獻(xiàn)。根據(jù)傳統(tǒng)中醫(yī)理論以及大量的臨床研究，針刺效應(yīng)存在持續(xù)性。針刺效應(yīng)是指針刺刺激對(duì)機(jī)體生理、病理過程的影響，是通過針刺這種非特異性刺激激發(fā)或誘導(dǎo)體內(nèi)固有的調(diào)節(jié)系統(tǒng)，使失調(diào)、紊亂的生理生化過程恢復(fù)正常。目前，與針刺效應(yīng)相關(guān)的研究大都難以突破經(jīng)驗(yàn)醫(yī)學(xué)的界限，不能客觀的闡明針刺的有效性和作用機(jī)理，因而限制了針刺療法的進(jìn)一步推廣與應(yīng)用。 fMRI(functional magnetic resonance imaging)由于其無創(chuàng)性為研究針刺效應(yīng)提供了方便，也使得探尋經(jīng)穴－大腦－臟腑之間的相互作用關(guān)系成為可能。該技術(shù)由于無創(chuàng)性、無輻射以及圖像的時(shí)間和空間分辨率高等優(yōu)勢，，已經(jīng)成為研究針刺效應(yīng)以及活體研究人腦中樞神經(jīng)系統(tǒng)的重要手段。 用功能磁共振成像技術(shù)來研究針刺效應(yīng)，采集的數(shù)據(jù)包含的只是腦皮層不同位置對(duì)針刺響應(yīng)的活動(dòng)，這些活動(dòng)是不同的腦部活動(dòng)所產(chǎn)生的各種信號(hào)的疊加，這些獨(dú)立的源信號(hào)反映了腦部實(shí)際活動(dòng)情況，如果把這些獨(dú)立的源信號(hào)分離出來就可以獲得真正意義上的生理信號(hào)，從而有助于了解大腦活動(dòng)，進(jìn)而達(dá)到了解針刺對(duì)人腦中樞神經(jīng)系統(tǒng)作用機(jī)理的目的。ICA(independent component analysis)是解決以上問題的一種有效方法。ICA不需要對(duì)實(shí)驗(yàn)設(shè)計(jì)的時(shí)間序列有預(yù)先的了解，具有廣闊的應(yīng)用前景。本文利用針刺實(shí)驗(yàn)中的功能磁共振像數(shù)據(jù)進(jìn)行了以下研究。 (1)探討了目前國際上廣泛應(yīng)用的腦功能磁共振成像數(shù)據(jù)處理軟件SPM(statistical parametric mapping)的基本原理和應(yīng)用，給出了SPM中利用廣義線性模型(GLM)構(gòu)建統(tǒng)計(jì)參數(shù)圖的方法，并針對(duì)手針和電針實(shí)驗(yàn)中的fMRI數(shù)據(jù)采用SPM進(jìn)行了針刺效應(yīng)的統(tǒng)計(jì)分析和比較。 (2)介紹了ICA的原理以及目前國際上比較流行的組間獨(dú)立成分分析(GroupICA)來處理多個(gè)被試的fMRI數(shù)據(jù)的方法。將其應(yīng)用于手針(MA)和電針(EA)實(shí)驗(yàn)中的fMRI數(shù)據(jù)處理，成功提取出默認(rèn)網(wǎng)絡(luò)，并對(duì)兩種模態(tài)下的腦默認(rèn)模式網(wǎng)絡(luò)進(jìn)行了分析比較。
[Abstract]:Acupuncture medicine is the treasure of the excellent traditional science and culture of the Chinese nation, its application is extensive, the curative effect is remarkable, has made the great contribution to the prosperity of the Chinese nation. The acupuncture effect is the effect of needle stimulation on the physiological and pathological process of the body. It is caused by acupuncture which stimulates or induces the inherent regulatory system in the body. At present, most of the researches related to acupuncture effects are difficult to break through the limits of empirical medicine, and can not objectively clarify the effectiveness and mechanism of acupuncture. Therefore, the further popularization and application of acupuncture therapy are limited. Because of its noninvasive nature, fMRI(functional magnetic resonance imagingprovides convenience for the study of acupuncture effect and makes it possible to explore the interaction between meridian, cerebral-viscera and viscera. The advantages of no radiation and high spatial and temporal resolution of images have become an important means to study acupuncture effect and in vivo study of the central nervous system of human brain. Functional Magnetic Resonance Imaging (fMRI) is used to study the acupuncture effect. The data collected contain only the actions of the different parts of the cerebral cortex in response to acupuncture, which are the superposition of various signals generated by different brain activities. These independent source signals reflect the actual activity of the brain, and if these independent source signals are separated from each other, we can get real physiological signals, which will help us to understand the brain's activities. The purpose of understanding the mechanism of acupuncture on the central nervous system of human brain. ICA independent component analysis is an effective method to solve the above problems. ICA does not need to have a prior understanding of the experimental design time series. In this paper, the functional magnetic resonance imaging data of acupuncture experiment are used to study the following. (1) the basic principle and application of SPM(statistical parametric mapping software, which is widely used in the world, are discussed. The method of constructing statistical parameter map by using generalized linear model in SPM is given. According to the fMRI data of hand acupuncture and electroacupuncture experiment, SPM was used to analyze and compare the acupuncture effect. This paper introduces the principle of ICA and the method of processing the fMRI data of multiple subjects by using ICA, which is popular in the world at present. It is applied to fMRI data processing in hand acupuncture (MAA) and electroacupuncture (EA) experiments, and the default network is extracted successfully. The brain default network in two modes is analyzed and compared.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：R445.2;R245

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

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