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Degree centrality analysis of brain functional network in insomnia disorder based on voxel / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 195-199, 2018.
Article in Chinese | WPRIM | ID: wpr-706206
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.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2018 Type: Article