Ding Jurong, Yu Mengjie, Li Lihong, Yang Mei, Yang Pan, Hua Bo, Ding Xin
School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, PR China.
School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, PR China; Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Zigong, PR China.
Neuroscience. 2025 Jan 26;565:257-264. doi: 10.1016/j.neuroscience.2024.11.046. Epub 2024 Nov 22.
Chronic insomnia (CI) is a common sleep disorder in middle-aged and elderly individuals. Long-term sleep deprivation can lead to physical, mental, and cognitive damage. Resting-state networks (RSNs) in the brain are closely linked to cognition and behavior. Therefore, we investigated changes in RSNs to explore behavioral and cognitive abnormalities in middle-aged and elderly CI patients. Resting state functional magnetic resonance imaging (rs-fMRI) and independent component analysis were used to study the intrinsic functional connectivity (FC) of the RSNs in 36 CI patients (20 CI with cognitive impairment (CI-I) patients and 16 CI without cognitive impairment (CI-N) patients) and 20 healthy controls (HC). Two-sample t-tests were used to compare RSNs differences between CI and HC groups, as well as between CI-I and CI-N groups. Partial correlation analysis was used to explore the relationship between the significant abnormal brain regions in RSN and clinical scales. Compared with HCs, CI patients showed significant differences in multiple RSNs, and FC values in two brain regions within RSNs were correlated with clinical scales. Furthermore, compared with CI-N group, CI-I group also showed significantly altered FC in multiple RSNs. Moreover, FC values in the right middle frontal gyrus within right frontal parietal network of CI-I patients were negatively correlated with the Mini-Mental State Examination scores. These results may explain hyperarousal, attention deficit and motor impairments in CI patients. Furthermore, the aberrant alterations of RSNs in CI-I patients may play a crucial role in the onset and progression of cognitive impairment in CI patients.
慢性失眠(CI)是中老年人群中常见的睡眠障碍。长期睡眠剥夺会导致身体、心理和认知损伤。大脑中的静息态网络(RSNs)与认知和行为密切相关。因此,我们研究了RSNs的变化,以探索中老年CI患者的行为和认知异常。采用静息态功能磁共振成像(rs-fMRI)和独立成分分析,研究了36例CI患者(20例伴有认知障碍(CI-I)的CI患者和16例无认知障碍(CI-N)的CI患者)和20例健康对照(HC)的RSNs的内在功能连接(FC)。采用双样本t检验比较CI组和HC组之间以及CI-I组和CI-N组之间的RSNs差异。采用偏相关分析探讨RSN中显著异常脑区与临床量表之间的关系。与HCs相比,CI患者在多个RSNs中存在显著差异,且RSNs内两个脑区的FC值与临床量表相关。此外,与CI-N组相比,CI-I组在多个RSNs中也表现出FC的显著改变。此外,CI-I患者右侧额顶网络中右侧额中回的FC值与简易精神状态检查评分呈负相关。这些结果可能解释了CI患者的过度觉醒、注意力缺陷和运动障碍。此外,CI-I患者RSNs的异常改变可能在CI患者认知障碍的发生和发展中起关键作用。