Association between excessive daytime sleepiness and non-motor symptoms in non-somnolence patients with Parkinson disease: A Graphical Lasso network analysis
10.19845/j.cnki.zfysjjbzz.2025.0187
- VernacularTitle:基于Graphical Lasso网络分析的日间过度嗜睡与非嗜睡帕金森病患者非运动症状关系研究
- Author:
Jingyue LIU
1
;
Erhe XU
2
Author Information
1. 首都医科大学宣武医院国家老年疾病临床医学研究中心, 北京 100053
2. 首都医科大学宣武医院神经内科, 北京 100053
- Publication Type:Journal Article
- Keywords:
Parkinson disease;
Excessive daytime sleepiness;
Non‑motor symptoms;
Graphical Lasso;
Symptom network analysis
- MeSH:
Parkinson Disease
- From:
Journal of Apoplexy and Nervous Diseases
2025;42(11):1024-1028
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the association between excessive daytime sleepiness (EDS) and other non-motor symptoms (NMS) in patients with Parkinson disease (PD) using a graphical LASSO (GLASSO) network analysis, as well as the potential role of the sleepiness-olfaction-emotion axis in the onset of EDS. Methods A total of 500 PD patients who attended Xuanwu Hospital, Capital Medical University, from February 2023 to February 2024 were enrolled, and according to the Epworth Sleepiness Scale (ESS) score, they were divided into EDS group (ESS score ≥10) and non-EDS group (ESS score<10). General clinical data were collected from all patients, and NMSS, HAMA, HAMD, PDSS, RBDQ-HK, MoCA, MMSE, and QOD-F scales were used to assess NMS. A graphical LASSO analysis was used to construct the NMS network in PD, and centrality indices were calculated to investigate the core role of EDS in the NMS network. Results The incidence rate of EDS was 7.12% in this study population. Compared with the non-EDS group, the EDS group had significantly higher HAMA, HAMD, NMSS, PDSS, and RBDQ-HK scores (P<0.05). The network analysis showed that NMSS had the highest centrality (strength=0.906) in the non-EDS group, serving as the core node of the NMS network. However, in the EDS group, there was a significant increase in the centrality of olfactory function (strength=0.930), replacing NMSS as the core of the network, and there was also an increase in the influence of RBDQ-HK (strength=0.318). Conclusion EDS is closely associated with multiple NMS in PD patients, and the state of somnolence may alter the structure of the NMS network. Further studies can be conducted to investigate the role of the sleepiness-olfaction-emotion axis in the development of EDS.
- Full text:2025122910480110612基于Graphical Lasso网络分析的日间过度嗜睡与非嗜睡帕金森病患者非运动症状关系研究.pdf