本文選題：腦電　切入點(diǎn)：功能磁共振成像　出處：《常州大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：腦電(electroencephalogram,EEG )與功能磁共振成像(functional magnetic resonance imaging,fMRI)作為無創(chuàng)的神經(jīng)成像技術(shù),已經(jīng)成為腦科學(xué)研究中的兩種重要途徑。兩者信號(hào)具有互補(bǔ)性:EEG時(shí)間分辨率高而fMRI空間分辨率高,為EEG-fMRI融合技術(shù)提供了可能。研究表明,同步EEG-fMRI融合技術(shù)對(duì)于了解大腦的基本功能,研究神經(jīng)精神類疾病和探討認(rèn)知心理學(xué)機(jī)制具有重要的作用。執(zhí)行功能指對(duì)思想和行動(dòng)進(jìn)行有意識(shí)控制的心理過程。它與多種能力(如,注意、規(guī)則運(yùn)用、心理理論等)的發(fā)展有關(guān)。熱執(zhí)行功能與社會(huì)化和高度的情感卷入密切聯(lián)系,對(duì)認(rèn)知和情感的發(fā)展具有重要的指導(dǎo)意義。情感決策是一種同時(shí)包含情緒和邏輯因素的決策過程,是熱執(zhí)行功能的一部分,且作為一種重要的社會(huì)適應(yīng)能力,近年來受到了越來越多的關(guān)注。本文運(yùn)用預(yù)測融合技術(shù)分析賭博范式同步EEG-fMRI數(shù)據(jù)。首先同步采集20名健康成年人經(jīng)典賭博范式EEG-fMRI數(shù)據(jù)。然后對(duì)EEG數(shù)據(jù)采用相對(duì)功率譜分析等方法,提取相關(guān)反饋負(fù)波、alpha頻段相對(duì)能量、theta頻段相對(duì)能量特征;對(duì)fMRI數(shù)據(jù)采用k-均值聚類算法制作mask并提取特征。最后,利用fMRI數(shù)據(jù)構(gòu)造廣義線性模型,并分別使用EEG特征作為其回歸項(xiàng),對(duì)比三種不同回歸項(xiàng)下的預(yù)測融合結(jié)果,從而分析情感決策問題。實(shí)驗(yàn)結(jié)果表明:一、被試在受到獎(jiǎng)勵(lì)刺激時(shí),明顯激活了腹側(cè)紋狀體、內(nèi)側(cè)前額葉、眶額皮質(zhì)和扣帶回等獎(jiǎng)賞回路中的腦區(qū)。二、預(yù)測融合分析結(jié)果與傳統(tǒng)fMRI分析結(jié)果相比,提取出了更多與獎(jiǎng)懲相關(guān)的激活腦區(qū),如眶額皮質(zhì)和后扣帶回,這兩者都與被試受到反饋刺激后的主觀情緒相關(guān)。三、EEG相對(duì)能量作為廣義線性模型回歸項(xiàng)的融合結(jié)果與反饋相關(guān)負(fù)波作為回歸項(xiàng)的結(jié)果相比,提取出了腹側(cè)紋狀體區(qū)域,這一腦區(qū)與被試對(duì)獎(jiǎng)懲的期待密切相關(guān)。且以theta頻段相對(duì)能量作為回歸項(xiàng)提取出的大腦激活強(qiáng)度最強(qiáng)(用alpha頻段能量對(duì)比theta頻段能量分析得到的激活強(qiáng)度對(duì)比:P=0.002)。總之,EEG-fMRI預(yù)測融合技術(shù)能更精確的反映被試受到獎(jiǎng)懲反饋刺激時(shí)的神經(jīng)活動(dòng),描繪腦區(qū)激活情況,從而更準(zhǔn)確的分析情感決策問題,為研究熱執(zhí)行功能提供科學(xué)依據(jù)。
[Abstract]:Electroencephalograms (EEG) and functional magnetic resonance imaging of MRI (functional magnetic resonance imaging), as non-invasive neuroimaging techniques, have become two important approaches in the research of brain science. This provides the possibility for EEG-fMRI fusion technology. Studies have shown that synchronous EEG-fMRI fusion technology is useful in understanding the basic functions of the brain. The study of neuropsychiatric disorders and the exploration of cognitive psychological mechanisms play an important role. Executive function refers to the psychological process of conscious control of thought and action. It is associated with a variety of abilities (e.g. attention, application of rules, etc.). The hot executive function is closely related to socialization and high emotional involvement, and has important guiding significance for the development of cognition and emotion. Emotional decision-making is a decision-making process that includes both emotional and logical factors. Is part of the thermal executive function, and as an important social adaptability, In recent years, more and more attention has been paid. In this paper, we use the prediction fusion technique to analyze the synchronous EEG-fMRI data of gambling paradigm. Firstly, we synchronously collect 20 healthy adults' EEG-fMRI data of classical gambling paradigm. Then we use the relative work to the EEG data. Rate spectrum analysis and other methods, The relative energy characteristics of the fMRI band are extracted from the relative energy of the correlation feedback negative wave band alpha band, and the mask feature is extracted from the fMRI data by using the k-means clustering algorithm. Finally, the generalized linear model is constructed by using the fMRI data. Using the EEG feature as its regression term, the prediction fusion results of three different regression items were compared to analyze the affective decision making problem. The experimental results showed that: first, the subjects activated the ventral striatum obviously when they were stimulated by reward. The medial prefrontal lobe, orbitofrontal cortex and cingulate gyrus, etc. Second, compared with the traditional fMRI analysis, the predicted fusion analysis results extracted more activated brain regions related to rewards and punishments, such as the orbital frontal cortex and the posterior cingulate gyrus. The relative energy of EEG was used as the fusion result of generalized linear model regression term and the feedback correlation negative wave was used as the regression term to extract the ventral striatum region. This brain area is closely related to the expectation of reward and punishment, and the brain activation intensity extracted from the relative energy of the theta band as the regression term is the strongest (the activation intensity obtained from the energy analysis of the alpha band compared with the theta band energy analysis shows that the activation intensity is higher than that of the theta band energy analysis. In a word, EEG-fMRI predictive fusion technique can more accurately reflect the neural activity of subjects when they are stimulated by rewards and punishment feedback. The activation of brain region is described to analyze affective decision making more accurately and to provide scientific basis for the study of hot executive function.
【學(xué)位授予單位】：常州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41;R338

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