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The Impact of Sleep on Network Coding and Perceptual Performance

睡眠对网络编码和感知性能的影响

基本信息

批准号：
10543110
负责人：
VALENTIN DRAGOI
金额：
$ 45.95万
依托单位：
UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-01 至 2025-11-30
项目状态：
未结题

项目摘要

PROJECT SUMMARY A critical issue for understanding sleep function is whether and how it impacts the accuracy of neuronal network computations to improve behavioral performance. Indeed, studies over the past several decades have shown that even brief periods of rest are correlated with subsequent improved perceptual and cognitive performance. However, despite the prevalence and beneficial impact of sleep on behavioral performance, little is known about the neural mechanisms of this improvement. We propose new studies to explore unchartered territory: we will explore the beneficial impact of sleep on information coding across cortical circuits and on perceptual performance. We propose to use multiple-electrode recordings simultaneously in three cortical areas, early and mid-level visual cortex (areas V1 and V4) and dorsolateral prefrontal cortex (area dlPFC) to examine, for the first time, the dynamics and coding in neuronal populations before, during, and after sleep, and their impact on behavioral performance. In Aim 1, we will investigate whether the low-frequency synchronization of network activity ubiquitously observed during slow-wave sleep is associated with a post- sleep reduction in the degree of synchronized fluctuations of population activity in visual and prefrontal cortex. In Aim 2, we will use electrical stimulation during quiet wakefulness to emulate the restorative effects of sleep in the absence of sleep, and causally test our hypothesis in Aim 1 that slow-wave population activity during sleep causes a reduction in synchronized fluctuations in population activity after sleep. This Aim will provide proof of concept for invasive stimulation procedures to improve perceptual performance in the absence of sleep, and will set the stage for future noninvasive procedures in humans. In Aim 3, we will use optogenetic stimulation to test the mechanism of the sleep-dependent improvement in neuronal and behavioral performance. We hypothesize that sleep is associated with increased synaptic efficacy in local circuits that persists during post-sleep wakefulness. We further hypothesize that this increase in synaptic efficacy elevates firing rates and spike timing coordination between neurons after sleep to improve the accuracy of encoding information in population activity. Our research has the potential to advance our understanding of the neural mechanisms underlying sleep and thus provide future solutions to ameliorate the detrimental effects of sleep disorder on cognitive performance, including practical applications for non-invasive neuronal prosthetic devices.

项目摘要了解睡眠功能的一个关键问题是它是否以及如何影响神经元的准确性。网络计算来改善行为性能。事实上，过去几十年的研究研究表明，即使是短暂的休息也与随后改善的感知和认知能力有关，性能然而，尽管睡眠对行为表现的普遍性和有益影响，这种改善的神经机制是已知的。我们提出新的研究来探索未知的领域：我们将探索睡眠对大脑皮层回路信息编码的有益影响，知觉表现我们建议在三个皮层同时使用多电极记录区域，早期和中级视觉皮层（V1和V4区）和背外侧前额叶皮层（dlPFC区），第一次检查神经元群体在睡眠前、睡眠中和睡眠后的动态和编码，以及它们对行为表现的影响。在目标1中，我们将研究低频是否在慢波睡眠期间普遍观察到的网络活动的同步与睡眠后睡眠降低了视觉和前额皮质群体活动的同步波动程度。在目标2中，我们将在安静的清醒状态下使用电刺激来模拟睡眠的恢复效果在缺乏睡眠的情况下，并因果检验我们在目标1中的假设，即在睡眠期间慢波群体活动睡眠导致睡眠后群体活动的同步波动减少。这一目标将提供侵入性刺激程序的概念验证，以在缺乏睡眠，并将为未来的人类非侵入性程序奠定基础。在目标3中，我们将使用光遗传学刺激以测试神经元和行为的睡眠依赖性改善的机制性能我们假设睡眠与局部回路中突触效能的增加有关，在睡眠后的觉醒中持续存在。我们进一步假设，这种突触功效的增加提高了睡眠后神经元之间的放电率和尖峰时间协调，以提高编码的准确性人口活动信息。我们的研究有可能促进我们对神经系统的理解睡眠的潜在机制，从而提供未来的解决方案，以改善睡眠的有害影响认知功能障碍，包括非侵入性神经元假体的实际应用装置.