Development of the sleep-wake switch in rats during the P2-P21 early infancy period

Mainak Patel, Badal Joshi
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Abstract

In early infancy, rats randomly alternate between the sleeping and waking states–from postnatal day 2–10 (P2-P10), sleep and wake bouts are both exponentially distributed with increasing means, while from P10-P21 sleep and wake bout means continue to increase, though there is a striking qualitative shift in the distribution of wake bouts from exponential to power law. The behavioral states of sleep and wakefulness correspond to the activity of sleep-active and wake-active neuronal brainstem populations, with reciprocal inhibition between the two ensuring that only one population is active at a time. The locus coeruleus (LC) forms a third component of this circuit that rises in prominence during the P10-P21 period, as experimental evidence shows that an as-of-yet undeciphered interaction of the LC with sleep-active and wake-active populations is responsible for the transformation of the wake bout distribution from exponential to power law. Interestingly, the LC undergoes remarkable physiological changes during the P10-P21 period–gap junctions within the LC are pruned and network-wide oscillatory synchrony declines and vanishes. In this work, we discuss a series of models of sleep-active, wake-active, and the LC populations, and we use these models to postulate the nature of the interaction between these three populations and how these interactions explain empirical observations of sleep and wake bout dynamics. We hypothesize a circuit in which there is reciprocal excitation between the LC and wake-active population with inhibition from the sleep-active population to the LC that suppresses the LC during sleep bouts. During the P2-P10 period, we argue that a noise-based switching mechanism between the sleep-active and wake-active populations provides a simple and natural way to account for exponential bout distributions, and that the locked oscillatory state of the LC prevents it from impacting bout distributions. From P10-P21, we use our models to postulate that, as the LC gradually shifts from a state of synchronized oscillations to a state of continuous firing, reciprocal excitation between the LC and the wake-active population is able to gradually transform the wake bout distribution from exponential to power law.
P2-P21 婴儿早期大鼠睡眠-觉醒转换功能的发展
在婴儿早期,大鼠会随机交替进入睡眠和觉醒状态--从出生后第 2-10 天(P2-P10)开始,睡眠和觉醒阵列均呈指数分布,且均值不断增加;而从 P10-P21 开始,睡眠和觉醒阵列均值继续增加,但觉醒阵列的分布发生了显著的质变,从指数分布变为幂律分布。睡眠和觉醒的行为状态与睡眠活跃和觉醒活跃的脑干神经元群的活动相对应,两者之间的相互抑制确保了同一时间只有一个神经元群处于活跃状态。由于实验证据表明,LC 与睡眠-活跃和觉醒-活跃神经元群之间尚未破解的相互作用是觉醒阵痛分布从指数型向幂律型转变的原因,因此,LC 构成了这一电路的第三个组成部分,并在 P10-P21 阶段变得更加突出。有趣的是,LC 在 P10-P21 期间发生了显著的生理变化--LC 内的间隙连接被修剪,整个网络的振荡同步性下降并消失。在这项工作中,我们讨论了一系列睡眠活跃、觉醒活跃和 LC 群的模型,并利用这些模型来推测这三个群之间相互作用的性质,以及这些相互作用如何解释睡眠和觉醒阵列动态的经验观察。我们假设了一个回路,在这个回路中,LC 和唤醒活跃人群之间存在相互兴奋,睡眠活跃人群对 LC 产生抑制,从而在睡眠阵发期间抑制 LC。在 P2-P10 期间,我们认为睡眠活跃人群和觉醒活跃人群之间基于噪声的切换机制提供了一种简单而自然的方式来解释指数分布,而 LC 的锁定振荡状态使其无法影响阵发分布。从 P10 到 P21,我们利用我们的模型推测,当 LC 从同步振荡状态逐渐转变为持续发射状态时,LC 和觉醒活跃群体之间的相互激发能够逐渐将觉醒阵痛分布从指数分布转变为幂律分布。
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