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The neural mechanisms and mnemonic consequences of sound processing during sleep

睡眠期间声音处理的神经机制和记忆后果

基本信息

批准号：
10734969
负责人：
Ada Eban-Rothschild
金额：
$ 49.2万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-07-15 至 2028-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10734969
关键词：
Acoustics Acute Address Amendment Arousal Auditory area Auditory system Behavioral Brain Brain region Chronic Communication Dependence Dopamine Electroencephalography Electrophysiology (science)Event Exposure to Familiarity Health Policy Hippocampus Household Impaired cognition Impairment Infant Investigation Joints Knowledge Light Link Memory Memory impairment Mus Names Neighborhoods Neurons Noise Nucleus Accumbens Optics Pattern Persons Process Property Public Health Research Rodent Role Semantics Signal Transduction Sleep Sleep disturbances Stimulus Testing Ventral Tegmental Area Wakefulness behavioral response cognitive process cost dopaminergic neuron epidemiology study experimental study insight long term memory memory consolidation memory process memory retention neural neuromechanism neurophysiology noise exposure noise pollution novel optogenetics semantic processing sound urban setting

项目摘要

Project Summary Despite the overall reduced responsiveness to external stimuli during sleep, incoming sounds are processed by a highly active and broadly projecting auditory system. Moreover, not only the acoustic aspects of sounds are processed during sleep but also their associated meaning, as evidenced by a higher likelihood of awakening from novel and meaningful sounds as compared to familiar and meaningless sounds. These and other findings suggest that there is ongoing semantic neural processing during sleep, yet the underlying brain circuits and neurophysiological mechanisms remain poorly understood. Sound salience processing during sleep enables rapid arousal when a behavioral response is appropriate, such as in the presence of danger or when an infant is in need. However, as millions of people in the US and worldwide live in noisy urban environments, in which they are exposed to household, traffic and other neighborhood sounds during sleep, ongoing processing of sounds during sleep may come at a cost. During sleep in the absence of incoming sounds, brain circuits engage in internally generated neural activity patterns that underlie memory consolidation–the transformation of temporary and labile memory traces into long-term memories. A potential interaction between sound processing and memory processes during sleep has been proposed by recent epidemiological studies which link exposure to nighttime noise and memory impairments. Moreover, we have recently discovered that acute exposure to non-awakening sounds during sleep impairs subsequent memory retention in rodents. However, the acoustic properties of sounds impairing memory consolidation, the consequences of chronic exposure to sounds during sleep on memory capacities and the neural interactions between online sound processing with offline neurophysiological signatures of memory consolidation are largely unknown. We will fill these knowledge gaps using electrophysiological and optical recordings from multiple brain regions, closed-loop sound manipulations and light-activated modulation of neural activity in freely behaving and naturally sleeping mice. In Aim 1, we will determine the role of key brain regions in sound salience processing during wakefulness–the auditory cortex and ventral tegmental area–in processing of sound salience during sleep. In Aim 2, we will determine the acoustic properties of sounds that impair memory processes and the consequences of chronic sound exposure during sleep on memory capacities. In Aim 3, we will determine the acute and chronic consequences of sound processing during sleep on circuit-level neurophysiological mechanisms of memory consolidation. Together, these experiments will provide a mechanistic understanding of the neuronal substrates underlying sound processing during sleep and their mnemonic consequences.

项目总结