首页 | 本学科首页   官方微博 | 高级检索  
检索        

多发性硬化网络节点改变的基于体素度中心度的fMRI研究
引用本文:刘常恩,杜小峰.多发性硬化网络节点改变的基于体素度中心度的fMRI研究[J].温州医科大学学报,2019,49(11):819-825.
作者姓名:刘常恩  杜小峰
作者单位:1.舟山市普陀区人民医院放射科,浙江舟山316100;2.中国科学院大学宁波华美医院放射科,浙江宁波315010
摘    要:目的:利用度中心度(DC)探索复发缓解型多发性硬化(RRMS)患者脑网络的功能异常。方法:选择26例RRMS患者为RRMS组,27例性别、年龄匹配的正常人为对照组。所有患者完成扩展残疾状况评分量表(EDSS)。DC和功能连接方法评估RRMS的脑功能改变。Pearson相关评估差异脑区与行为学的相关性。ROC曲线评估差异脑区对2组的区分能力。结果:DC差异不随相关系数r值的不同而变化。相比对照组,RRMS组DC值增加脑区主要包括右侧小脑后叶、左侧枕中回、左侧背侧前额叶和双侧顶上小叶,减低脑区主要包括左侧扣带回和双侧颞极突入岛叶。ROC曲线显示这些脑区能较好的区分2组(AUC=0.943,敏感度为96.3%,特异度为88.5%)。在RRMS组,病程与左侧颞极呈负相关(r=-0.483,P=0.020),EDSS得分与右侧顶上小叶呈正相关(r=0.485,P=0.019),与右侧颞极呈负相关(r=-0.430,P=0.041)。功能连接显示DC减低的颞极和扣带回存在网络间和网络内的功能连接减低。结论:扣带回和颞极在RRMS患者中存在功能异常,这些关键网络节点可以预测疾病进展和残疾状态。

关 键 词:多发性硬化  度中心度  功能连接  功能磁共振成像  
收稿时间:2019-03-11

An fMRI study of network node changes in relapsing-remitting multiple sclerosis based on voxel centrality
LIU Chang’en,Du Xiaofeng.An fMRI study of network node changes in relapsing-remitting multiple sclerosis based on voxel centrality[J].JOURNAL OF WENZHOU MEDICAL UNIVERSITY,2019,49(11):819-825.
Authors:LIU Chang’en  Du Xiaofeng
Institution:1.Department of Radiology, Putuo People’s Hospital of Zhoushan, Zhoushan 316100, China; 2.Department of Radiology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo 315010, China
Abstract:Objective: To explore the abnormal alteration of intrinsic functional hubs and their relationship with the clinical features in relapsing-remitting multiple sclerosis (RRMS) using degree centrality approach. Methods: A total of 26 RRMS and 27 status-matched healthy groups were recruited. RRMS patients underwent a physical examination using Expanded Disability Status Scale (EDSS) by an experienced neurologist. Degree centrality and functional connectivity methods were used to evaluate the features of abnormal intrinsic functional hubs. Pearson correlation analysis was conducted to investigate the relationship between clinical features and abnormal functional hubs. Receiver operating characteristic (ROC) curve was applied to calculate the sensitivity and specificity of those altered functional hubs in distinguishing the RRMS from the HGs. Results: The covered brain areas of degree centrality differences didn’t change with different thresholds of correlation coefficient r values. Compared with the HGs, the RRMS demonstrated significantly higher degree centrality values in multiple brain areas and lower degree centrality values in bilateral salience network and left cingulate gyrus. Decreased functional connectivity was found within the left-right salience network, and between the salience network and the cingulate gyrus. Disease duration of RRMS revealed a negative linear correlation with the degree centrality value in the left temporal pole (r=-0.483, P=0.020). EDSS revealed a positive linear correlation with the degree centrality value in the right superior parietal lobule (r=0.485, P=0.019), and a negative linear correlation with the degree centrality value in the right temporal pole (r=-0.430, P=0.041). ROC analysis showed good performance of these abnormal hubs in distinguishing the RRMS from the HGs (AUC=0.943, sensitivity was 96.3%, specificity was 88.5%). Conclusion: The functional deficits in the cingulate gyrus and temporal pole in RRMS could predict disease progression and disability status, which may expand our understanding of functional characteristics and provide a new insight into the pathophysiological mechanism of RRMS.
Keywords:multiple sclerosis  degree centrality  functional connectivity  functional magnetic resonance imaging  
点击此处可从《温州医科大学学报》浏览原始摘要信息
点击此处可从《温州医科大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号