本文選題：輕度認(rèn)知功能障礙 + 工作記憶��； 參考：《天津醫(yī)科大學(xué)》2017年碩士論文

【摘要】：研究目的:輕度認(rèn)知功能障礙(Mild Cognitive Impairment,MCI)是介于正常衰老和阿爾茲海默癥(Alzheimer’s Disease,AD)之間的一種認(rèn)知障礙癥候群,工作記憶障礙是MCI的主要臨床表現(xiàn)。研究MCI的工作記憶障礙機(jī)制具有重要的意義。目前,腦網(wǎng)絡(luò)研究是神經(jīng)科學(xué)領(lǐng)域研究的熱點(diǎn)。本論文從腦網(wǎng)絡(luò)的角度,對(duì)MCI患者在工作記憶任務(wù)下的多通道腦電(multi-channel electroencephalographs,EEGs)數(shù)據(jù)進(jìn)行動(dòng)態(tài)因果模型(Dynamic Causal Modeling,DCM)分析,研究MCI患者工作記憶腦效應(yīng)網(wǎng)絡(luò)的連接模式,為探索MCI的工作記憶障礙機(jī)制提供新的視角。研究方法:1.受試者和實(shí)驗(yàn)數(shù)據(jù):MCI組、正常老年組(Elderly組)和正常青年組(Youth組)各15名受試者,分別記錄每位受試者在視覺(jué)工作記憶任務(wù)下的行為學(xué)數(shù)據(jù)和34通道腦電數(shù)據(jù)。2.行為學(xué)分析:計(jì)算MCI組、Elderly組和Youth組在工作記憶任務(wù)下的平均反應(yīng)時(shí)間和正確率。3.數(shù)據(jù)預(yù)處理:對(duì)采集到的EEGs去除工頻干擾、基線漂移、眼動(dòng)干擾和肌電干擾。4.時(shí)頻分析:應(yīng)用短時(shí)傅里葉變換(STFT)方法計(jì)算預(yù)處理后的EEGs的能量密度分布,分析工作記憶EEGs的特征頻段和特征時(shí)段。5.源分析:應(yīng)用分布式線性模型的方法確定MCI組、Elderly組和Youth組在工作記憶特征時(shí)段和頻段上的激活腦區(qū)。6.DCM分析:根據(jù)源分析所確定的工作記憶激活腦區(qū),構(gòu)建DCM網(wǎng)絡(luò),計(jì)算三組受試者DCM網(wǎng)絡(luò)子連接的超越概率(Exceedance Probability,EP),分析工作記憶腦效應(yīng)網(wǎng)絡(luò)的連接特性;分別計(jì)算三組受試者DCM網(wǎng)絡(luò)中不同方向連接族(正向連接、反向連接和橫向連接)和左右側(cè)連接族的超越概率,比較分析MCI組工作記憶信息的傳遞方向和大腦偏側(cè)性。7.統(tǒng)計(jì)學(xué)分析:在SPSS 22.0統(tǒng)計(jì)分析軟件上應(yīng)用單因素方差分析方法對(duì)實(shí)驗(yàn)數(shù)據(jù)進(jìn)行統(tǒng)計(jì)學(xué)檢驗(yàn)。研究結(jié)果:1.行為學(xué)結(jié)果MCI組、Elderly組和Youth組的工作記憶任務(wù)平均反應(yīng)時(shí)間分別為:1387.8±80.0ms、1262.1±69.9ms、912.7±66.4ms,MCI組的反應(yīng)時(shí)間顯著大于Elderly組(P0.01)和Youth組(P0.001);MCI組、Elderly組和Youth組的正確率分別為:73.38±1.10%、82.58±1.42%、92.53±1.49%,MCI組的正確率顯著低于Elderly組(P0.01)和Youth組(P0.001)。2.工作記憶EEGs的能量密度三組受試者工作記憶EEGs的能量密度主要集中在theta頻段(4-8Hz),MCI組EEGs在theta頻段上的能量密度顯著低于Elderly組和Youth組。三組受試者的工作記憶特征通道的時(shí)頻圖表明工作記憶延遲期的能量密度最為連續(xù)和集中。3.工作記憶激活腦區(qū)源分析結(jié)果顯示,MCI組的激活腦區(qū)為雙側(cè)額中線皮層(middleline-frontal cortex,MFC);Elderly組的激活腦區(qū)為雙側(cè)背外側(cè)前額葉皮層(dorsolateral prefrontal cortex,DLPFC)和雙側(cè)MFC;Youth組的激活腦區(qū)為雙側(cè)DLPFC、雙側(cè)MFC和雙側(cè)頂葉皮層(parietal cortex,PAR)。將Youth組的激活腦區(qū)作為網(wǎng)絡(luò)節(jié)點(diǎn)進(jìn)行DCM分析。4.DCM分析結(jié)果(1)DCM網(wǎng)絡(luò)子連接的超越概率MCI組:雙側(cè)PAR到同側(cè)DLPFC(M7,M13)、雙側(cè)PAR到同側(cè)MFC(M9,M15)的網(wǎng)絡(luò)連接的超越概率大于5%,其中左側(cè)PAR到左側(cè)MFC(M9)的連接的超越概率最大,其他連接超越概率近似等于零。Elderly組:雙側(cè)PAR到同側(cè)DLPFC(M7,M13)、雙側(cè)PAR到同側(cè)MFC(M9,M15)、左側(cè)DLPFC到左側(cè)MFC(M3)、左側(cè)DLPFC到左側(cè)PAR(M8)、左側(cè)MFC到左側(cè)PAR(M10)和右側(cè)PAR到左側(cè)PAR(M12)的連接超越概率大于5%,其中右側(cè)PAR到右側(cè)DLPFC(M13)的連接的超越概率最大,其他連接的超越概率近似等于零。Youth組:雙側(cè)PAR到同側(cè)DLPFC(M7,M13)、雙側(cè)PAR到同側(cè)MFC(M9,M15)的網(wǎng)絡(luò)連接的超越概率大于5%,其中左側(cè)PAR到左側(cè)MFC(M9)的連接的超越概率最大,其他連接超越概率近似等于零。MCI組有效連接的總超越概率顯著小于Elderly組(P0.05)和Youth組(P0.01)。(2)不同方向連接族的超越概率MCI組、Elderly組和Youth組的正向連接族超越概率(EP_forward)均顯著高于同組的反向連接族(EP_backward)和橫向連接族的超越概率(EP_lateral)(P0.01);MCI組的EP_forward(0.6113±0.0193)顯著高于Elderly組的EP_forward(0.4626±0.0492)(P0.01);MCI組的EP_backward(0.1942±0.0085)顯著低于Elderly組的EP_backward(0.2926±0.0440)(P0.01);MCI組和Elderly的EP_lateral之間沒(méi)有顯著性差異。MCI組的EP_forward、EP_backward和EP_lateral和Youth組均沒(méi)有顯著性差異。(3)左右側(cè)連接的超越概率MCI組和Elderly的左側(cè)連接族超越概率(EP_left)和同組右側(cè)連接族的超越概率(EP_right)之間均無(wú)顯著性差異,Youth組的EP_left顯著大于EP_right(P0.001)。MCI的EP_left(0.5671±0.0751)和Elderly組的EP_left(0.5259±0.0592)之間沒(méi)有顯著性差異;MCI組和Elderly組的EP_left均顯著小于Youth組。研究結(jié)論:1.行為學(xué)結(jié)果表明,MCI組工作記憶任務(wù)的平均反應(yīng)時(shí)間顯著增加,正確率顯著降低。工作記憶EEGs時(shí)頻分析結(jié)果表明,工作記憶EEGs的特征頻段是theta頻段,特征時(shí)段是記憶延遲階段。MCI患者在工作記憶EEGs特征頻段(theta頻段)的活動(dòng)減弱。2.源分析結(jié)果表明,MCI組的工作記憶激活腦區(qū)為MFC,Elderly組的激活腦區(qū)為DLPFC和MFC,Youth組的激活腦區(qū)為DLPFC、MFC和PAR。MCI組工作記憶的激活腦區(qū)比Elderly組和Youth組減少。3.DCM分析結(jié)果表明,MCI組的工作記憶有效連接在網(wǎng)絡(luò)中的貢獻(xiàn)程度低于Elderly組和Youth組的有效連接在網(wǎng)絡(luò)中的貢獻(xiàn)程度。4.MCI組和Youth組的工作記憶延遲階段信息主要流向?yàn)閺捻斎~皮層到前額葉皮層;Elderly組工作記憶延遲期的信息流向既有從頂葉皮層到前額葉皮層,還有從前額葉皮層到頂葉皮層。提示正常老年人不存在工作記憶障礙可能與其工作記憶信息流動(dòng)增加有關(guān),而MCI患者的工作記憶腦網(wǎng)絡(luò)沒(méi)有形成這種代償機(jī)制。
[Abstract]:Research objectives: Mild Cognitive Impairment (MCI) is a cognitive disorder syndrome between normal aging and Alzheimer 's Disease, AD (AD). Working memory disorder is the main clinical manifestation of MCI. The study of the mechanism of working memory disorder in MCI is of great significance. This paper is a hot spot in the field of neuroscience. From the point of view of brain network, this paper makes a dynamic causal model (Dynamic Causal Modeling, DCM) analysis of MCI patients' multi-channel electroencephalographs (EEGs) data under the task memory task, and studies the connection mode of the working memory brain effect network of MCI patients, in order to explore M. The mechanism of CI's working memory disorder provides a new perspective. 1. subjects and experimental data: group MCI, normal old age group (group Elderly) and 15 normal youth group (group Youth) each, the behavioral data and.2. behavioral analysis of 34 channel EEG data of each subject were recorded respectively in the visual working memory task: MCI group, E The average reaction time and the correct rate of.3. data preprocessing under the working memory task of group lderly and Youth: removal of frequency interference, baseline drift, eye movement interference and electromyography interference.4. time frequency analysis for collected EEGs: using the short time Fourier transform (STFT) method to calculate the energy density distribution of the pretreated EEGs and analyze the working memory EEGs Characteristic frequency and characteristic time period.5. source analysis: using the method of distributed linear model to determine the.6.DCM analysis of MCI group, Elderly group and Youth group in the active brain area of the working memory characteristic period and frequency band: Based on the working memory identified by the source analysis, the brain area is activated and the DCM network is constructed, and the transcendental probability of the DCM network subconnection of three groups of subjects is calculated. Exceedance Probability (EP), analyze the connection characteristics of the working memory brain effect network, and calculate the transcendental probability of the three groups of subjects in the DCM network (positive connection, reverse connection and lateral connection) and the left and right connections in the DCM network, and compare the transmission direction of the working memory information of the MCI group and the statistics of the cerebral laterality.7.. Study analysis: the experimental data were statistically tested by single factor ANOVA on SPSS 22 statistical analysis software. The results were as follows: the average reaction time of working memory tasks in group MCI, Elderly group and Youth group were 1387.8 + 80.0ms, 1262.1 + 69.9ms, 912.7 + 66.4ms, and the reaction time of MCI group was significantly greater than El The correct rates of group derly (P0.01) and group Youth (P0.001) were 73.38 + 1.10%, 82.58 + 1.42% and 92.53 + 1.49%, respectively. The correct rate of MCI group was significantly lower than that of Elderly group (P0.01) and Youth group (P0.001). 8Hz), in group MCI, the energy density of EEGs in the theta band was significantly lower than that in group Elderly and Youth. The time frequency diagram of the working memory characteristic channel of the three groups showed that the energy density of the working memory delay period was the most continuous and the concentrated.3. working memory activated brain region source analysis showed that the activation brain area of MCI group was bilateral middle frontal cortex (middle). Line-frontal cortex, MFC); the activation brain area of group Elderly is bilateral dorsolateral prefrontal cortex (dorsolateral prefrontal cortex, DLPFC) and bilateral MFC. The activation brain region of the Youth group is bilateral DLPFC, bilateral MFC and bilateral parietal cortex (bilateral parietal cortex). (1) the transcendental probability MCI group of DCM network subconnections: bilateral PAR to ipsilateral DLPFC (M7, M13), bilateral PAR to ipsilateral MFC (M9, M15) network connection transcendental probability is greater than 5%, of which the left PAR to the left MFC is the greatest transcendental probability, and the other connection transcendental probability is equal to zero. R to the same side MFC (M9, M15), the left DLPFC to the left MFC (M3), the left DLPFC to the left PAR (M8), the left MFC to the left and the left, to the left, the transcendental probability is greater than 5%, and the transcendental probability of the connection of the right side to the right is maximum, and the transcendental probability of the other connections is approximately equal to that of the same side. LPFC (M7, M13), the transcendental probability of the network connection between the two sides PAR to the ipsilateral MFC (M9, M15) is greater than 5%, of which the left PAR to the left MFC (M9) is the greatest transcendental probability, and the total transcendental probability of the other connection transcendental probability approximated to the zero.MCI group is significantly smaller than that of the Elderly group and the group. (2) the connection family in different directions. The more probability of MCI group, the positive connection group transcendental probability (EP_forward) of Elderly group and Youth group was significantly higher than that of the same group, EP_backward and EP_lateral (P0.01), and EP_forward (0.6113 + 0.0193) of MCI group was significantly higher than EP_forward (0.4626 + 0.0492) of Elderly group (P0.01). 0.1942 + 0.0085) was significantly lower than that of group Elderly (0.2926 + 0.0440) (P0.01), and there was no significant difference in.MCI group EP_forward between MCI and Elderly EP_lateral. There was no significant difference between EP_backward and EP_lateral and Youth groups. (3) the overvietnam probability MCI group and the left side connective surpassing probability of the left and right connections (3) There was no significant difference between the transcendental probability (EP_right) of the same group on the right side. The EP_left of group Youth was significantly greater than that of EP_right (P0.001).MCI EP_left (0.5671 + 0.0751) and EP_left (0.5259 + 0.0592) in Elderly group. The EP_left of MCI and Elderly group was significantly smaller than that of the group. Conclusion: 1. behavior science The results showed that the average response time of the working memory task in the MCI group was significantly increased and the correct rate was significantly reduced. The EEGs frequency analysis of working memory EEGs showed that the frequency band of working memory EEGs was the theta band, and the characteristic period of the memory delayed stage was that the activity of.MCI in the working memory EEGs frequency band (theta band) weakened the.2. source analysis node. The results showed that the working memory activated brain area of group MCI was MFC, the activation brain area of group Elderly was DLPFC and MFC, and the activation brain area of group Youth was DLPFC, MFC and PAR.MCI group working memory activated brain regions decreased.3.DCM analysis results than Elderly and Youth groups. The contribution of the Youth group to the network, the information of the working memory delay phase of the group.4.MCI and the Youth group mainly flows from the parietal cortex to the prefrontal cortex, and the information of the Elderly group's working memory delay time flows from the parietal cortex to the prefrontal cortex, as well as the frontal cortex to the top leaf cortex. No working memory impairment may be associated with increased information flow in working memory, while working memory brain networks in MCI patients do not form this compensatory mechanism.
【學(xué)位授予單位】：天津醫(yī)科大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：R749.1;TN911.7

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 韓利坤;姚婧t，

本文編號(hào)：1972383