Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan.
Laboratory of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
Sci Rep. 2022 May 11;12(1):7766. doi: 10.1038/s41598-022-11888-0.
Senescence affects various aspects of sleep, and it remains unclear how sleep-related neuronal network activity is altered by senescence. Here, we recorded local field potential signals from multiple brain regions covering the forebrain in young (10-week-old) and aged (2-year-old) mice. Interregional LFP correlations across these brain regions could not detect pronounced differences between awake and sleep states in both young and aged mice. Multivariate analyses with machine learning algorithms with uniform manifold approximation and projection and robust continuous clustering demonstrated that LFP correlational patterns at multiple frequency bands, ranging from delta to high gamma bands, in aged mice less represented awake/sleep states than those in young mice. By housing aged mice in an enriched environment, the LFP patterns were changed to more precisely represent awake/sleep states. Our results demonstrate senescence-induced changes in neuronal activity at the network level and provide insight into the prevention of pathological symptoms associated with sleep disturbance in senescence.
衰老影响睡眠的各个方面，目前尚不清楚衰老如何改变与睡眠相关的神经网络活动。在这里，我们记录了来自覆盖年轻（10 周龄）和老年（2 岁）小鼠前脑的多个脑区的局部场电位信号。在年轻和老年小鼠的清醒和睡眠状态下，跨这些脑区的 LFP 相关性无法检测到明显差异。使用具有均匀流形逼近和投影以及稳健连续聚类的机器学习算法进行的多变量分析表明，与年轻小鼠相比，老年小鼠在多个频率带（从 delta 到高 gamma 带）的 LFP 相关模式较少代表清醒/睡眠状态。通过将老年小鼠饲养在丰富的环境中，LFP 模式发生了变化，更准确地代表了清醒/睡眠状态。我们的研究结果表明，衰老会引起网络层面神经元活动的改变，并为预防与衰老相关的睡眠障碍相关的病理症状提供了线索。
