Brain glucose metabolism network and connectivity in patients with somatoform disorders
10.3760/cma.j.issn.2095-2848.2020.01.002
- VernacularTitle: 躯体形式障碍患者脑葡萄糖代谢功能网络研究
- Author:
Zhiwei PAN
1
;
Jianfei XIAO
1
;
Qi HUANG
1
;
Donglang JIANG
1
;
Shuhua REN
1
;
Yihui GUAN
1
;
Fang XIE
1
;
Daliang SUN
2
;
Fengchun HUA
3
Author Information
1. PET Center, Huashan Hospital, Fudan University, Shanghai 200235, China
2. Department of Psychiatry, Tianjin Anding Hospital, Tianjin 300222, China
3. PET Center, Huashan Hospital, Fudan University, Shanghai 200235, China (Hua Fengchun is working on the Department of Nuclear Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China)
- Publication Type:Clinical Trail
- Keywords:
Somatoform disorders;
Metabolic networks and pathways;
Brain;
Positron-emission tomography;
Deoxyglucose
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2020;40(1):6-10
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To observe the alteration of brain glucose metabolic network in patients with somatoform disorders (SFD).
Methods:18F-fluorodeoxyglucose (FDG) PET images of 18 SFD patients (10 males, 8 females; age: (39.5±12.0) years; illness duration: (3.67±3.20) years) and 21 matched healthy controls (13 males, 8 females; age: (43.9±8.4) years) in Huashan Hospital of Fudan University from October 2011 to December 2012 were enrolled to construct the brain glucose metabolic networks for 2 groups (SFD group, control group) respectively. Then the global network properties (normalized clustering coefficient, normalized shortest path length, small-worldness and global efficiency) and local parameters (clustering coefficient and betweenness centrality of the node) were calculated using the graph theory. Differences between 2 groups were compared by permutation test with 1 000 permutations. The top 20% (18/90) were classified as Hub nodes based on the results of clustering coefficient and betweenness centrality of the node.
Results:Small-worldness of SFD patients was similar to that of healthy controls (σ>1). There were decreased tendency in normalized clustering coefficient and global efficiency, and increased tendency in normalized shortest path length in SFD patients, but without significant differences (P>0.05). Compared to healthy controls, the betweenness centrality of left pallidum, left amygdala, left precuneus and right angular gyrus increased (permutation test, P<0.05); the betweenness centrality of left middle temporal gyrus, right superior occipital gyrus decreased (permutation test, P<0.05); the clustering coefficients of bilateral pallidum, bilateral thalamus, and left amygdala decreased (permutation test, P<0.05). Most changed Hub nodes (16/24) belonged to limbic system.
Conclusion:The changes of topological properties of brain glucose metabolic network in SFD patients including the decreased tendency of small-worldness and global efficiency, as well as the altered Hub nodes, may provide valid imaging evidences for brain dysfunction of somatization symptoms.
