Degree centrality analysis of brain functional network in insomnia disorder based on voxel
10.13929/j.1003-3289.201707033
- VernacularTitle:基于体素水平度中心度分析失眠障碍脑功能网络
- Author:
Dandan ZHANG
1
;
Zhonglin LI
;
Rui CHEN
;
Enfeng WANG
;
Zhi ZOU
;
Yanrui SHEN
;
Hongju ZHANG
;
Yongli LI
Author Information
1. 河南省人民医院放射科
- Keywords:
Insomnia;
Voxel;
Brain;
Functional network;
Degree centrality;
Magnetic resonance imaging
- From:
Chinese Journal of Medical Imaging Technology
2018;34(2):195-199
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the changes of brain functional network in insomnia disorder (ID) during resting-state with voxel-based degree centrality (DC).Methods Forty-five subjects underwent resting-state fMRI scans,including 22 patients with ID (ID group) and 23 sex-,age-,and education-matched healthy volunteers (control group).The subjects' sleep quality and emotion state were assessed with Pittsburgh sleep quality index (PSQI),Hamilton anxiety scale and Hamilton depression scale.The resting-state fMRI data were analyzed with voxel-based DC.The intra-and inter-groups parameters were compared using t-test.Correlation analysis was performed between DC values of ID group and clinical parameters.Results Compared with control group,DC values increased in left parahippocampal gyrus,left hippocampus and bilateral precuneus (all P＜0.05),while decreased in left middle occipital lobe,left precuneus,left inferior frontal gyrus and left middle frontal gyrus in ID group (all P＜0.05).DC values of the left hippocampus in ID patients showed significantly negative correlation with the score of Pittsburgh sleep quality index (r=-0.46,P=0.047).Conclusion ID patients have abnormal DC distribution of brain functional network,therefore providing basis for understanding pathophysiological mechanisms of ID.
