本文選題：經(jīng)前期綜合征 + 實驗獼猴　； 參考：《山東中醫(yī)藥大學》2012年碩士論文

【摘要】：目的構建實驗獼猴憤怒郁怒表情模式識別系統(tǒng)（以下簡稱“模式識別系統(tǒng)”），為獼猴模型表征評價提供客觀手段；完成憤怒郁怒情緒反應及其誘發(fā)PMS肝氣逆、肝氣郁證獼猴模型的制備及評價，反證模式識別系統(tǒng)，為探索憤怒郁怒致病機理提供適宜的載體平臺；應用獼猴憤怒郁怒表情模式識別系統(tǒng)對獼猴情緒變化予以量化，采集獼猴血樣及腦中樞指標進行神經(jīng)介質檢測，通過數(shù)學建模手段構建宏微觀指標非線性方程，，探查面部表情和PMS肝氣逆、肝氣郁兩證發(fā)病及藥物干預可能微觀機制。 方法全國各實驗獼猴飼養(yǎng)基地采集海量獼猴表情圖片，動物行為學專家對表情進行分類評分，建立獼猴表情圖片數(shù)據(jù)庫，依據(jù)《雌性實驗獼猴情緒評價量表》（以下簡稱“量表”）建立評價標準，采用機器學習方法構建模式識別系統(tǒng)；應用社會層級壓力應激法誘導獼猴出現(xiàn)情緒反應，然后依據(jù)量表篩選出憤怒郁怒情緒反應獼猴模型，選取上述獼猴配合擇時擠壓造模使獼猴出現(xiàn)PMS肝氣逆、肝氣郁表現(xiàn)，應用中藥對PMS肝氣逆、郁證進行干預。隨后采用模式識別系統(tǒng)和量表評分輔助判別其表情行為，驗證模式識別系統(tǒng)的有效性；采集上述不同組別獼猴月經(jīng)周期不同時期血清，分析血清和不同腦區(qū)NE、DA、5 HT和GABA含量，結合系統(tǒng)評分結果，將不同時期微觀指標與其表情得分擬合非線性曲線，以期揭示情緒與體內指標間可能關系，為探討PMS肝氣逆、肝氣郁兩證發(fā)病及藥物干預可能微觀機制提供實驗數(shù)據(jù)支撐。 結果1、模式識別系統(tǒng)可較好識別獼猴憤怒、郁怒表情，其得分與專家評分相關性為0.959。2、使用量表對獼猴造模前后進行評分，其憤怒因子與郁怒因子于造模前后有顯著變化且符合預期規(guī)律。而各類微觀指標的升降也均符合PMS獼猴模型造模前后應有的表現(xiàn)。使用模式識別系統(tǒng)對獼猴表情進行評分后發(fā)現(xiàn)：憤怒情緒反應與PMS肝氣逆獼猴憤怒表情得分均較對照組顯著上升(P0.01)，PMS肝氣逆組又顯著多于憤怒情緒組(P0.05)，PMS肝氣郁獼猴郁怒表情得分顯著多于對照組和郁怒情緒反應組(P0.01)，中藥干預可顯著降低PMS肝氣逆、郁證獼猴憤怒、郁怒表情得分(P0.01)。3、獼猴微觀指標與同時期表情得分呈較明顯非線性關系，其中各指標與表情得分的擬合方程分別為（X代表表情得分，Y代表微觀指標含量ng/g）：NE: Y=8.044+0.035X+0.003X~2 (1.692E 5)*X~3, R~2=0.921; DA:Y=28.371+0.095X+0.009X~2 (5.689E 5)*X~3, R~2=0.575;5 HT: Y=21.843 0.203X+0.005X~2 (2.244E 5)*X~3, R~2=0.716。 結論模式識別系統(tǒng)效標關聯(lián)效度為0.959，可較好識別獼猴憤怒、郁怒表情，達到統(tǒng)計學要求；應用該模式識別系統(tǒng)進行實驗過程中我們發(fā)現(xiàn)憤怒郁怒不良情緒反應與血清單胺類神經(jīng)遞質波動變化有關，而PMS肝氣逆、郁證發(fā)病則與血清及中樞單胺類神經(jīng)遞質和GABA含量密切相關。中藥干預可通過改變上述物質含量而發(fā)揮療效。而應用模式識別系統(tǒng)及檢測技術所采集宏微觀指標的數(shù)據(jù)擬合結果則揭示不同組別、不同期屬獼猴證候表征與其體內指標動態(tài)改變相因性，上述非線性方程構建無疑對認識不良情緒反應及其引發(fā)/誘發(fā)情志病證和中藥干預的復雜機制提供了可資借鑒的思路及方法，為干預情志病證藥物開發(fā)平臺構建提供了方法學支撐。
[Abstract]:Objective To construct a model recognition system ( hereinafter referred to as " pattern recognition system " ) in an experimental rhesus monkey , which provides an objective way for the characterization and evaluation of the rhesus monkey model .
In order to explore the mechanism of anger - depression and depression , a suitable carrier platform is provided for the research on the preparation and evaluation of liver - qi depression , the preparation and evaluation of the model of liver - qi stagnation syndrome , and the evaluation of the syndrome pattern recognition system .
In this paper , the emotion changes of rhesus monkeys were quantified by the expression pattern recognition system , and the blood samples and the indexes of the brain were collected . The nonlinear equations of the macro - microscopic indexes were constructed by means of mathematical modeling , the facial expressions and PMS liver - qi adverse , the liver - qi stagnation syndrome and the possible micro - mechanism of drug intervention were explored .

Methods To collect the emoticons of a large amount of macaca mulatta from the breeding base of the experimental rhesus monkeys in the whole country , and the animal behavior experts classify the expression and establish the database of the emoticons of the rhesus monkey , and establish the evaluation standard according to the emotion evaluation scale of the female experiment ( hereinafter referred to as the " scale " ) , and construct the pattern recognition system by using the machine learning method ;
Using the social - level stress - stress method to induce the emotional response of Macaca mulatta , and then , according to the scale , we screened the model of the emotional response of the angry depression , and selected the above - mentioned rhesus monkey to make PMS liver - qi adverse and liver - qi stagnation . Then use the traditional Chinese medicine to intervene the PMS liver - qi and depression syndrome . Then the pattern recognition system and the scale score were used to help judge the expression behavior and verify the validity of the pattern recognition system .
閲囬泦涓婅堪涓嶅悓緇勫埆鐚曠尨鏈堢粡鍛ㄦ湡涓嶅悓鏃舵湡琛

本文編號：1895814