Cortical region-specific sleep homeostasis in mice: effects of time of day and waking experience.
Cortical region-specific sleep homeostasis in mice: effects of time of day and waking experience.
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DOI：
10.1093/sleep/zsy079
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发表时间：
2018-07-01
期刊：
影响因子：
5.6
通讯作者：
Vyazovskiy VV
中科院分区：
文献类型：
--
作者：
Guillaumin MCC;McKillop LE;Cui N;Fisher SP;Foster RG;de Vos M;Peirson SN;Achermann P;Vyazovskiy VV
睡眠-觉醒历史、觉醒行为、照明条件和昼夜节律时间影响睡眠，但它们的相对贡献和潜在机制都没有完全了解。睡眠期间的脑电图（EEG）慢波活动（SWA）的动力学可以使用两过程模型来描述，其中稳态过程S的参数使用非快速眼动睡眠（NREMS）中的经验EEG SWA（0.5 - 4Hz）和警觉状态的24小时分布来估计。我们假设，外在因素对睡眠稳态的影响，如一天中的时间或觉醒行为，将表现在经验SWA和模型预测之间的系统偏差。为了验证这一假设，我们进行了参数估计和测试模型预测，使用NREMS SWA来自连续脑电图记录从额叶和枕叶皮层在小鼠。这些动物在黑暗和光明阶段都表现出长时间的清醒期，然后是巩固的睡眠，清醒主要包括自愿的车轮运行，学习新的运动技能或新的物体探索。模拟的SWA在各种条件下都能很好地匹配经验水平，无论是清醒的经验还是一天中的时间都不会对数据和模拟之间的拟合产生显着影响。然而，我们一直观察到，在睡眠期间，S过程在新皮层的额叶比枕叶区下降得更快。该模型对特定唤醒行为、照明条件和一天中的时间的惊人弹性表明，支撑过程S动态的内在因素对外在影响是鲁棒的，尽管它们在塑造24小时内警觉状态的总量和分布方面发挥着重要作用。
Sleep–wake history, wake behaviors, lighting conditions, and circadian time influence sleep, but neither their relative contribution nor the underlying mechanisms are fully understood. The dynamics of electroencephalogram (EEG) slow-wave activity (SWA) during sleep can be described using the two-process model, whereby the parameters of homeostatic Process S are estimated using empirical EEG SWA (0.5–4 Hz) in nonrapid eye movement sleep (NREMS), and the 24 hr distribution of vigilance states. We hypothesized that the influence of extrinsic factors on sleep homeostasis, such as the time of day or wake behavior, would manifest in systematic deviations between empirical SWA and model predictions. To test this hypothesis, we performed parameter estimation and tested model predictions using NREMS SWA derived from continuous EEG recordings from the frontal and occipital cortex in mice. The animals showed prolonged wake periods, followed by consolidated sleep, both during the dark and light phases, and wakefulness primarily consisted of voluntary wheel running, learning a new motor skill or novel object exploration. Simulated SWA matched empirical levels well across conditions, and neither waking experience nor time of day had a significant influence on the fit between data and simulation. However, we consistently observed that Process S declined during sleep significantly faster in the frontal than in the occipital area of the neocortex. The striking resilience of the model to specific wake behaviors, lighting conditions, and time of day suggests that intrinsic factors underpinning the dynamics of Process S are robust to extrinsic influences, despite their major role in shaping the overall amount and distribution of vigilance states across 24 hr.
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影响因子：
5.6
作者：
Castro-Faundez, Javiera;Diaz, Javier;Ocampo-Garces, Adrian
通讯作者：
Ocampo-Garces, Adrian
影响因子：
3.8
作者：
ACHERMANN, P;DIJK, DJ;BORBELY, AA
通讯作者：
BORBELY, AA
影响因子：
3.5
作者：
DIJK D J;BEERSMA D G M;DAAN S
通讯作者：
DAAN S
DOI：
10.1007/bf00663111
发表时间：
1979-01-01
期刊：
JOURNAL OF COMPARATIVE PHYSIOLOGY
影响因子：
--
作者：
BORBELY, AA;NEUHAUS, HU
通讯作者：
NEUHAUS, HU
影响因子：
--
作者：
DAAN, S;BEERSMA, DGM;BORBELY, AA
通讯作者：
BORBELY, AA