本文選題：動態(tài)社區(qū)結(jié)構(gòu) + 核磁共振成像　； 參考：《Journal of Southeast University(English Edition)》2017年03期

【摘要】：為了更有效地評估抑郁癥患者治療前后的改善效果,使用動態(tài)模塊化算法探測抑郁癥患者靜息態(tài)腦網(wǎng)絡(luò)的靈活度屬性.使用獨立成分分析獲得每個被試的特定腦網(wǎng)絡(luò)分區(qū)信號,通過滑動窗口和L1范數(shù)計算動態(tài)功能連接矩陣,然后運用社區(qū)探測算法計算功能連接的動態(tài)社區(qū)結(jié)構(gòu).最終獲得的模塊化分配結(jié)構(gòu)具有大腦活動隨時間推移的一般特征.靈活性指標是動態(tài)社區(qū)結(jié)構(gòu)的特征之一,表征區(qū)域變化的次數(shù).本次研究中,有16名患者實現(xiàn)臨床緩解并治療前后各掃描一次.計算得到的所有患者治療前后全腦6個網(wǎng)絡(luò)的靈活度指標組間置換檢驗結(jié)果顯示,患者治療前和治療后的默認網(wǎng)絡(luò)和認知控制網(wǎng)絡(luò)靈活性度分布存在下降趨勢,且該趨勢具有統(tǒng)計學(xué)差異.因此這2個網(wǎng)絡(luò)的靈活度指標可用于抑郁病人治療效果評估的客觀參考.
[Abstract]:In order to evaluate the improvement effect of depression patients before and after treatment, dynamic modularization algorithm was used to detect the flexibility of resting brain network in depression patients. Independent component analysis (ICA) was used to obtain the specific brain network partitioning signals of each subject. The dynamic functional connection matrix was calculated by sliding window and L1 norm, and then the dynamic community structure of functional connection was calculated by community detection algorithm. The resulting modular allocation structure has the general characteristics of brain activity over time. Flexibility index is one of the characteristics of dynamic community structure, representing the number of regional changes. In this study, 16 patients achieved clinical remission and one scan before and after treatment. The results of intergroup replacement test of all patients before and after treatment showed that the distribution of default network and cognitive control network flexibility decreased before and after treatment. And the trend is statistically different. Therefore, these two network flexibility indicators can be used as an objective reference for the evaluation of the therapeutic effect of depressive patients.
【作者單位】： 東南大學(xué)兒童發(fā)展與學(xué)習(xí)科學(xué)教育部重點實驗室;南京醫(yī)科大學(xué)附屬腦科醫(yī)院精神科;
【基金】：The National High Technology Research and Development Program of China(863 program)(No.2015AA020509) the National Natural Science Foundation of China(No.81571639,81371522,61372032)
【分類號】：R445.2;R749.4
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本文編號：1867081