本文選題：腦機(jī)接口 + 運動想象��； 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：腦機(jī)接口系統(tǒng)是指不依賴于大腦的信息傳出通路,通過腦電放大器等一系列設(shè)備直接完成人與外接設(shè)備的通信的系統(tǒng)。腦機(jī)接口涉及到許多學(xué)科,如信號采集、特征分類、模式識別等。其中基于運動想象的腦機(jī)接口系統(tǒng),由于其和運動功能中樞緊密關(guān)聯(lián),在運動功能康復(fù)等領(lǐng)域具有潛在的應(yīng)用價值,因此受到了廣泛的關(guān)注。但是人群中約有20%左右的盲被試,即在現(xiàn)有的刺激范式下不能有效誘發(fā)分類所需要的節(jié)律特征信號,而且也不能通過增加訓(xùn)練的重復(fù)次數(shù)來提高在線系統(tǒng)的表現(xiàn)正確率。本文主要對這類盲被試與正常被試進(jìn)行組間比較,從而挖掘其在腦結(jié)構(gòu)特征與大腦纖維束連接方面的區(qū)別,從而很好地識別人群中的盲被試,并為運動想象腦機(jī)接口研究提供必要的神經(jīng)機(jī)制理論基礎(chǔ)。本論文的工作主要如下:1.被試篩選和數(shù)據(jù)獲取。由于研究對象需要獲得較為可靠的盲被試。本論文設(shè)計了相應(yīng)的運動想象實驗范式,通過多次的在線和離線實驗,獲取相應(yīng)的腦電數(shù)據(jù),基于腦電數(shù)據(jù)對被試的BCI能力進(jìn)行評估,并完成對被試的篩選。篩選出的被試進(jìn)行了結(jié)構(gòu)磁共振,靜息功能磁共振數(shù)據(jù)的獲取,本論文主要基于結(jié)構(gòu)磁共振進(jìn)行了相應(yīng)機(jī)制的研究。2.通過對兩組被試的結(jié)構(gòu)的皮層厚度、灰質(zhì)體積、表面積等指標(biāo)的分析,我們發(fā)現(xiàn),正常BCI表現(xiàn)好被試左腦的內(nèi)側(cè)枕顳腹側(cè)溝的皮層厚度、灰質(zhì)體積、表面積等參數(shù)比表現(xiàn)較差被試體現(xiàn)出較大的值(p0.05);同樣在在中央前回腦區(qū)的表面積和定點個數(shù)方面,表現(xiàn)較差的被試比正常被試的值要小,這揭示了結(jié)構(gòu)上的差異對兩組被試間的表現(xiàn)差異的影響。同時相關(guān)結(jié)構(gòu)指標(biāo)和BCI表現(xiàn)的關(guān)聯(lián)分析表明,腦區(qū)的皮層表面積和灰質(zhì)體積指標(biāo)和BCI表現(xiàn)有密切的關(guān)聯(lián)。3.基于DTI結(jié)構(gòu)的分析結(jié)果發(fā)現(xiàn),中央前回、額下回、額上回、中央溝蓋等腦區(qū)的纖維束連接與被試在線系統(tǒng)的表現(xiàn)呈現(xiàn)高度相關(guān)(r0.5,p0.05),可望為腦機(jī)接口在線表現(xiàn)和被試篩選提供相應(yīng)的生理指標(biāo)。除了額頂網(wǎng)絡(luò),纖維束連接研究也顯示了尾狀核、楔前葉等邊緣系統(tǒng)對運動想象能力的影響作用。同時兩組間的對比分析結(jié)果揭示了,在扣帶回、海馬等結(jié)構(gòu)上,兩組被試間存在顯著性的差異。
[Abstract]:Brain-computer interface system (BCI) is a system that can directly communicate between human beings and external devices through a series of devices, such as EEG amplifiers, which do not depend on the information efferent pathway of the brain. BCI involves many subjects, such as signal acquisition, feature classification, pattern recognition and so on. The brain-computer interface system, which is based on motion imagination, has been paid more and more attention because of its close relationship with motor function center and its potential application value in the field of motor function rehabilitation and so on. However, about 20% of the blind subjects in the population can not effectively induce the rhythmic characteristic signals needed for classification under the existing stimulus paradigm, and can not improve the performance accuracy of the online system by increasing the number of training repeats. In this paper, we compared this kind of blind subjects with the normal subjects in order to dig out the differences between the brain structure characteristics and the connections of the cerebral fiber bundles, so as to identify the blind subjects in the population. It also provides the necessary theoretical basis of neural mechanism for the study of brain-computer interface in motor imagination. The work of this thesis is as follows: 1. The subjects were screened and the data were obtained. Because the subjects need to obtain more reliable blind subjects. In this paper, we design the corresponding experimental paradigm of motion imagination, obtain the corresponding EEG data through many online and offline experiments, evaluate the BCI ability of the subjects based on the EEG data, and complete the screening of the subjects. The structural magnetic resonance (SRM) and resting functional magnetic resonance (fMRI) data were obtained from the selected subjects. By analyzing the cortical thickness, gray matter volume and surface area of the structure of the two groups, we found that the normal BCI showed good cortical thickness and gray matter volume in the medial occipito-temporal sulcus of the left brain of the subjects. The surface area and other parameters were larger than those of the poor subjects (p0.05), and the values of the surface area and the number of fixed points in the precentral gyrus were smaller than those of the normal subjects. This reveals the effect of structural differences on the performance differences between the two groups. The cortical surface area and gray matter volume index were closely related to BCI performance. The results of DTI-based analysis showed that precentral gyrus, inferior frontal gyrus, suprafrontal gyrus, There is a high correlation between the fiber bundle connection and the performance of the online system in the central sulcus and other brain regions (r0.5 / p0.05), which is expected to provide the corresponding physiological index for the on-line performance of the brain-computer interface and the screening of the subjects. In addition to frontal-parietal networks, the effect of edge systems such as caudate nucleus and anterior wedge on motor imagination is also demonstrated. At the same time, the results of comparative analysis between the two groups revealed that there were significant differences in the structures of cingulate gyrus and hippocampus between the two groups.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：R445.2;TN911.7

【共引文獻(xiàn)】

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1 高晴;陳華富;;基于動態(tài)因果模型的運動執(zhí)行和運動想象腦網(wǎng)絡(luò)研究[J];電子科技大學(xué)學(xué)報;2010年03期

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1 高晴;基于功能磁共振成像的運動系統(tǒng)腦功能網(wǎng)絡(luò)研究[D];電子科技大學(xué);2010年

2 張君梅;運動表象訓(xùn)練對肌肉力量的作用[D];北京體育大學(xué);2012年

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1 劉小燮;腦機(jī)交互結(jié)合功能性電刺激康復(fù)訓(xùn)練新技術(shù)對慢性期腦卒中大腦可塑性的影響[D];中國人民解放軍醫(yī)學(xué)院;2014年

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本文編號：2107999