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

• 批准号: 10392202
• 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
• 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
• 来源: https://reporter.nih.gov/project-details/10392202
• 关键词: Address; Affect; Animals; Area; Behavior; Behavioral; Brain; Code; Communication; Complex; Discrimination; Electric Stimulation; Electrodes; Electrophysiology (science); Exhibits; Eye; Frequencies; Future; Goals; Human; Individual; Jaw; Learning; Macaca; Napping; Neurons; Neurophysiology - biologic function; Perception; Performance; Persons; Play; Population; Prefrontal Cortex; Prevalence; Procedures; Property; Prosthesis; Research; Rest; Role; Sensory; Sleep; Sleep Disorders; Slow-Wave Sleep; Stimulus; Stream; Synapses; Testing; Time; Visual; Visual Cortex; Wakefulness; area V1; area V4; behavior influence; cognitive performance; experimental study; improved; improvement on sleep; neural circuit; neural network; neuromechanism; nonhuman primate; optogenetics; practical application; receptive field; relating to nervous system; response; visual coding; visual information

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 理解睡眠功能的关键问题是它是否以及如何影响神经元的准确性 网络计算以提高行为绩效。确实，过去几十年的研究已经 表明即使短暂的休息时间也与随后的改善感知和认知相关 表现。但是，尽管睡眠对行为表现产生了普遍性和有益的影响，但很少 已经知道这种改善的神经机制。我们提出了新的研究，以探索未经概括的 领土：我们将探讨睡眠对跨皮质电路信息编码的有益影响 感知性能。我们建议在三个皮质中同时使用多电极记录 区域，早期和中级视觉皮层（区域V1和V4）和背外侧前额叶皮层（区域DLPFC） 首次检查在睡眠之前，期间和之后的神经元种群中的动态和编码 及其对行为绩效的影响。在AIM 1中，我们将研究低频是否 在慢波睡眠期间观察到的网络活动的同步与后期有关 视觉和前额叶皮层中种群活性同步波动的同步波动的程度。 在AIM 2中，我们将在安静的清醒期间使用电刺激来模仿睡眠的恢复作用 在没有睡眠的情况下，并在AIM 1中检验了我们的假设，该假设在 睡眠会导致睡眠后人口活动的同步波动减少。这个目标将提供 侵入性刺激程序的概念证明，以提高知觉表现 睡眠，并将为未来人类的无创程序奠定基础。在AIM 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 表现。我们假设睡眠与当地电路中的突触功效提高有关 在腿后的清醒期间持续存在。我们进一步假设，突触功效的这种增加提高了 睡眠后神经元之间的发射速率和尖峰正时协调，以提高编码的准确性 人口活动中的信息。我们的研究有可能提高我们对神经的理解 睡眠的基础机制，从而提供未来的解决方案以改善睡眠的不利影响 认知表现的障碍，包括无创神经假体的实际应用 设备。