Disrupted network topology in patients with idiopathic rapid eye movement sleep behavior disorder
10.3760/cma.j.issn.2095-2848.2019.06.002
- VernacularTitle: 特发性快速眼动期睡眠行为障碍患者脑内拓扑结构异常的研究
- Author:
Jiehui JIANG
1
;
Deqiang ZHAO
1
;
Hucheng ZHOU
1
;
Huan YU
2
;
Chuantao ZUO
3
;
Jian WANG
2
Author Information
1. Institute of Biomedical Engineering, Shanghai University, Shanghai 200444, China
2. Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200235, China
3. PET Center, Huashan Hospital, Fudan University, Shanghai 200235, China
- Publication Type:Journal Article
- Keywords:
REM sleep behavior disorder;
Parkinson disease;
Metabolic networks and pathways;
Positron-emission tomography;
Deoxyglucose
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2019;39(6):325-330
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the topological abnormality of brain metabolic network in patients with idiopathic rapid eye movement sleep behavior disorder (iRBD) and compare it with the topology of brain metabolic network in patients with Parkinson′s disease (PD).
Methods:The 18F-fluorodeoxyglucose (FDG) PET brain images of 19 patients with iRBD diagnosed with polysomnography (PSG) (iRBD group; 15 males, 4 females, average age: 64.9 years), 19 patients with PD (PD group; 12 males, 7 females, average age: 62.2 years) and 19 gender and age-matched healthy controls (HC group; 15 males, 4 females, average age: 63.1 years) in Huashan Hospital from September 2014 to June 2015 were retrospectively analyzed. According to the complex brain network method based on graph theory, the brain metabolic networks of each group was constructed and the network parameters (clustering coefficient, characteristic path length, local efficiency, global efficiency and small-world property, etc) were evaluated quantitatively. The 500 times non-parametric permutation test was used to determine the differences in network parameters between groups.
Results:The brain metabolic networks of iRBD group and PD group both had abnormal topological structure, which showed that the characteristic path length (for example, when sparsity=34%, HC vs iRBD vs PD groups: 1.517 vs 1.552 vs 1.561) and local efficiency (for example, when sparsity=30%, HC vs iRBD vs PD groups: 0.802 vs 0.824 vs 0.831) were significantly increased (both P<0.05), the global efficiency (for example, when sparsity=36%, HC vs iRBD vs PD groups: 0.672 vs 0.658 vs 0.656) was significantly decreased (P<0.05). The topology was more aggravated in PD group compared with that in iRBD group.
Conclusion:The graph-based complex brain network analysis can reveal the abnormal topological structure of the brain metabolic network in which iRBD progresses to PD.
