Sleep disorders affect more than one-quarter of the world's population, resulting in reduced daytime productivity, impaired immune function, and an increased risk of cardiovascular disease. It is important to identify the physiological and psychological factors related to sleep for the prevention and treatment of sleep disorders. In this study, we correlated measurements of emotional state, sleep quality, and some brain neural activity parameters to better understand the brain and psychological factors related to sleep. Resting-state functional magnetic resonance imaging (rs-fMRI) of 116 healthy undergraduates were analyzed using graph theory to assess regional topological characteristics. Among these, the left thalamic cluster coefficient proved to be the ablest to reflect the characteristics of the sleep neural graph index. The Profile of Mood States (POMS) was used to measure vigor, and the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality. The results showed that the left thalamic clustering coefficient was negatively correlated with sleep quality and vigor. Further, the left thalamic clustering coefficient moderated the relationship between vigor and sleep quality. When the left thalamic clustering coefficient was very low, there was a significant positive correlation between vigor and sleep quality. However, when the left thalamic clustering coefficient was high, the correlation between vigor and sleep quality became insignificant. The relationship between vigor and sleep quality is heterogeneous. Analyzing the function of the left thalamic neural network could help understand the variation in the relationship between vigor and sleep quality in different populations. Such observations may help in the development of personalized interventions for sleep disorders.

睡眠障碍影响着世界上超过四分之一的人口，导致白天生产力下降、免疫功能受损以及心血管疾病风险增加。识别与睡眠相关的生理和心理因素对于预防和治疗睡眠障碍具有重要意义。在这项研究中，我们将情绪状态、睡眠质量和一些大脑神经活动参数的测量结果相关联，以更好地了解与睡眠相关的大脑和心理因素。使用图论分析 116 名健康本科生的静息态功能磁共振成像 (rs-fMRI) 以评估区域拓扑特征。其中左侧丘脑簇系数被证明最能反映睡眠神经图指标的特征。情绪状态概况 (POMS) 用于衡量活力，匹兹堡睡眠质量指数 (PSQI) 用于评估睡眠质量。结果表明，左侧丘脑聚集系数与睡眠质量和活力呈负相关。此外，左侧丘脑聚集系数缓和了活力与睡眠质量之间的关系。当左侧丘脑聚集系数很低时，活力与睡眠质量呈显着正相关。然而，当左侧丘脑聚集系数较高时，活力与睡眠质量之间的相关性变得不显着。活力和睡眠质量之间的关系是异质的。分析左侧丘脑神经网络的功能有助于了解不同人群活力与睡眠质量之间关系的变化。这些观察可能有助于开发针对睡眠障碍的个性化干预措施。