论文部分内容阅读
目的采用图论衍生的成本整合(CI)分析对复发缓解型多发性硬化(RRMS)患者默认网络(DMN)亚区间(内)相互关系进行研究。方法采集24例处于缓解期的RRMS患者及相同数量健康对照组静息态功能磁共振(R-f MRI)和高分辨率T1WI数据。R-f MRI数据处理助手(DPARSFA)基于Matlab2012a平台进行数据预处理,提取DMN核心和双侧亚系统区20个感兴趣区信号,Pearson相关计算功能连接系数为边,计算并比较两组维持网络不碎裂条件下,DMN亚区间(内)的CI值的改变,及与临床参数如临床扩展残疾量表(EDSS)、同步听觉连续加法测验评分(PASAT)、脑实质分数(BPF)、T2WI可见病灶体积和病程的相关性。结果最小网络密度(Dmin)条件下,RRMS患者DMN功能网络左侧颞中叶(MTL)亚系统区成本整合(0.80 vs.0.30)较对照组显著增高(P=0.006),且和BPF之间呈负相关(r=-0.414,P=0.045)。结论处于缓解期的RRMS患者,存在和脑萎缩相关的DMN亚区成本整合增高改变。该方法为理解疾病状态下的功能整合机制提供了新的视角。
OBJECTIVE: To study the inter-subinterval (inter) relationship of default network (DMN) in patients with relapsing remitting multiple sclerosis (RRMS) based on graph theory-derived cost integration (CI) analysis. Methods The resting-state functional magnetic resonance (R-f MRI) and high-resolution T1WI data of 24 remission RRMS patients and the same number of healthy controls were collected. Rf MRI data processing assistant (DPARSFA) based on Matlab2012a platform for data preprocessing, extraction of DMN core and bilateral sub-system area of 20 signals of interest area, Pearson correlation calculation function connection coefficient for the edge, calculate and compare two groups to maintain the network is not broken CI values of DMN subinterval (inner) under the condition of cleft were compared with clinical parameters such as EDSS, PASAT, BPF and T2WI Volume and duration of the correlation. Results Under the minimal network density (Dmin), the cost integration (0.80 vs.0.30) in the left middle temporal lobe (MTL) subfractions of RRMS patients was significantly higher than that in the control group (P = 0.006) Negative correlation (r = -0.414, P = 0.045). Conclusions RRMS patients in remission have increased integration of DMN subregions with brain atrophy. This method provides a new perspective for understanding the mechanism of functional integration in disease states.