Bu Lingguo, Wang Dawei, Huo Congcong, Xu Gongcheng, Li Zengyong, Li Jianfeng
Key Laboratory of High Efficiency and Clean Mechanical Manufacture, School of Mechanical Engineering, Shandong University, Jinan, 250061, PR China.
Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, PR China.
Neurosci Lett. 2018 Mar 6;668:108-114. doi: 10.1016/j.neulet.2018.01.026. Epub 2018 Jan 31.
Poor sleep quality, which is typically related to impairments in cognitive control, is pervasive among the elderly. However, the brain function mechanisms underlying the association between sleep and elderly behavior remain elusive. This study aims to assess the effects of poor sleep quality on low-frequency neural oscillations based on the wavelet phase coherence (WPCO) and wavelet amplitude (WA) of oxyhemoglobin concentration changes (Delta [HbO]) measured through near-infrared spectroscopy (NIRS) method.
Subjective sleep quality was measured through the Pittsburgh Sleep Quality Index (PSQI). Continuously recorded NIRS signals from the prefrontal cortex, sensorimotor cortical, and occipital lobes of 15 poor-sleep-quality elderly subjects (PSQ group) as well as 14 healthy elderly subjects (control group) in the resting and task states. The WPCO and WA values were calculated in low frequency (0.01-0.08 Hz). Pearson correlation analysis was used to assess the respective degrees of correlation between the WPCO of bilateral prefrontal lobes, WA of left prefrontal cortex (LPFC), WA of right prefrontal cortex (RPFC), F scores, and PSQI scores, respectively.
The WPCO values were significantly lower in the PSQ group than in the control group (p < 0.05). Compared with the control group, the WA was significantly higher in the PSQ group and was also significantly higher in the resting state than in the task state. The F scores were significantly lower in the PSQ group when performing 1-back task. In the PSQ group, the correlation analysis showed the negative correlation between the PSQI scores and WPCO values. The WA values of LPFC and RFFC exhibited positive correlations with the PSQI scores.
Collectively, these results suggest that poor sleep reduces phase synchronization, which may contribute to the diminished cognitive functions among the sample population.
睡眠质量差在老年人中普遍存在，通常与认知控制受损有关。然而，睡眠与老年人行为之间关联的脑功能机制仍不清楚。本研究旨在基于通过近红外光谱（NIRS）方法测量的氧合血红蛋白浓度变化（Delta[HbO]）的小波相位相干性（WPCO）和小波幅度（WA），评估睡眠质量差对低频神经振荡的影响。
通过匹兹堡睡眠质量指数（PSQI）测量主观睡眠质量。连续记录15名睡眠质量差的老年受试者（PSQ组）以及14名健康老年受试者（对照组）在静息和任务状态下前额叶皮质、感觉运动皮质和枕叶的NIRS信号。在低频（0.01 - 0.08Hz）计算WPCO和WA值。分别采用Pearson相关分析评估双侧前额叶的WPCO、左侧前额叶皮质（LPFC）的WA、右侧前额叶皮质（RPFC）的WA、F分数和PSQI分数之间的各自相关程度。
PSQ组的WPCO值显著低于对照组（p < 0.05）。与对照组相比，PSQ组的WA显著更高，且在静息状态下也显著高于任务状态。PSQ组在执行1 - 回溯任务时F分数显著更低。在PSQ组中，相关分析显示PSQI分数与WPCO值之间呈负相关。LPFC和RFFC的WA值与PSQI分数呈正相关。
总体而言，这些结果表明睡眠质量差会降低相位同步性，这可能导致样本人群认知功能下降。
