CRNS: An Integrative Study of Hippocampal-Neocortical Memory Coding during Sleep

CRNS：睡眠期间海马-新皮质记忆编码的综合研究

• 批准号: 10401807
• 负责人: Zhe Sage Chen
• 金额: $ 33.68万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-12 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10401807
• 关键词: Acoustic Stimulation; Address; Animals; Area; Auditory; Code; Computing Methodologies; Coupled; Cues; Data; Dependence; Dreams; Ego; Electrophysiology (science); Goals; Hippocampus (Brain); Human; Impairment; Learning; Light; Location; Memory; Mental disorders; Methods; Neocortex; Neurons; Phase; Population; Process; REM Sleep; Rattus; Rodent; Role; Sensory; Sleep; Sleep Stages; Subgroup; Task Performances; Techniques; Therapeutic; Ursidae Family; Vision; Visual; Visual Cortex; Visual system structure; Visuospatial; Wakefulness; Work; area striata; cell assembly; experience; experimental study; information processing; innovation; insight; memory consolidation; memory process; negative affect; neocortical; nervous system disorder; non rapid eye movement; novel; optogenetics; rapid eye movement; relating to nervous system; sensory input; spatial memory; visual imagery; visual memory; way finding

Sleep is critical to memory and learning. During rapid eye movement (REM) or non-REM (NREM) sleep, subgroups of cell assemblies in hippocampal and sensory cortical circuits are reactivated in a temporally coordinated manner, forming a cortical-hippocampal-cortical loop of information processing during memory consolidation. Deciphering neural codes of hippocampal-neocortical memories during sleep would reveal important circuit mechanisms of memory consolidation. To date, a complete understanding of the mechanisms of hippocampal-neocortical memory processing and the interaction of their specific spatial/non­ spatial memory representations during sleep is lacking. Furthermore, little is known about the causal impact of the hippocampal-neocortical interactions on subsequent memory reactivation or post-sleep learning. In this proposal, we will dissect representations of spatial ("where") and visual ("what") memory in the rodent hippocampal CA1 and primary visual cortex (V1) during sleep. We will combine electrophysiology, population-decoding methods, optogenetics and closed-loop neural interface to decipher sleep-associated CA1-V1 population codes in memory coding. In Aim 1, we will identify visual cortical representations in a spatial navigation task and determine visual cortical neuronal firing dependency on space, experiences and visual cues. In Aim 2, we will uncover "where" (spatial) and "what" (visual) representations of CA1-V1 memory reactivations during sleep. In Aim 3, we will determine the causal role of the hippocampus in the V1-CA1-V1 loop of memory consolidation during sleep. Together, these results will enable us to casually dissect circuit mechanisms of hippocampal-neocortical memory coding during sleep, and to establish a new analysis paradigm to identify the contents of hippocampal-memory reactivations during sleep. Our project will provide further insight into memory-related neurological and psychiatric disorders and potential therapeutic treatment for targeted memory reactivation or enhancement.

睡眠对记忆和学习至关重要。在快速眼动（REM）或非快速眼动（NREM）睡眠期间，海马和感觉皮层回路中的细胞组装子组以时间协调的方式重新激活，在记忆巩固期间形成皮质-海马-皮质的信息处理回路。破译睡眠中大脑皮层-新皮层记忆的神经密码将揭示记忆巩固的重要回路机制。到目前为止，一个完整的了解，大脑皮层-新皮层记忆加工的机制和相互作用的特定空间/非空间记忆表征在睡眠期间缺乏。此外，很少有人知道的因果关系的影响，大脑皮层的相互作用对随后的记忆重新激活或睡眠后学习。在这个提议中，我们将解剖在睡眠期间啮齿动物海马CA 1区和初级视觉皮层（V1）的空间（“在哪里”）和视觉（“什么”）记忆的表征。我们将结合联合收割机电生理学、群体解码方法、光遗传学和闭环神经接口来破译记忆编码中与睡眠相关的CA 1-V1群体密码。在目标1中，我们将识别空间导航任务中的视觉皮层表征，并确定视觉皮层神经元放电对空间，经验和视觉线索的依赖性。在目标2中，我们将揭示睡眠期间CA 1-V1记忆再激活的“位置”（空间）和“内容”（视觉）表征。在目标3中，我们将确定海马在睡眠期间记忆巩固的V1-CA 1-V1环路中的因果作用。总之，这些结果将使我们能够随意解剖在睡眠期间的大脑皮层-新皮层记忆编码的电路机制，并建立一个新的分析范式，以确定在睡眠期间的大脑皮层-记忆再激活的内容。我们的项目将提供对记忆相关的神经和精神疾病的进一步了解，以及针对记忆重新激活或增强的潜在治疗方法。

项目成果

Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy.

逐像素可编程性可实现用于高速显微镜的动态高信噪比相机。

• DOI: 10.1101/2023.06.27.546748
• 发表时间: 2023
• 期刊: bioRxiv : the preprint server for biology
• 作者: Zhang,Jie;Newman,Jonathan;Wang,Zeguan;Qian,Yong;Guo,Wei;Chen,ZheSage;Linghu,Changyang;Etienne-Cummings,Ralph;Fossum,Eric;Boyden,Edward;Wilson,Matthew
• 通讯作者: Wilson,Matthew

Excitatory-inhibitory recurrent dynamics produce robust visual grids and stable attractors.

• DOI: 10.1016/j.celrep.2022.111777
• 发表时间: 2022-12-13
• 期刊: Cell reports
• 影响因子: 8.8

Detecting acute pain signals from human EEG.

检测人类脑电图的急性疼痛信号。

• DOI: 10.1016/j.jneumeth.2020.108964
• 发表时间: 2021-01-01
• 期刊: Journal of neuroscience methods
• 影响因子: 3
• 作者: Sun G;Wen Z;Ok D;Doan L;Wang J;Chen ZS
• 通讯作者: Chen ZS

Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus.

• DOI: 10.1162/neco_a_01281
• 发表时间: 2020-06
• 期刊: Neural computation
• 影响因子: 2.9
• 作者: Tu M;Zhao R;Adler A;Gan WB;Chen ZS
• 通讯作者: Chen ZS

In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?

• DOI: 10.3389/fnins.2023.1186418
• 发表时间: 2023
• 期刊: FRONTIERS IN NEUROSCIENCE
• 影响因子: 4.3
• 作者: Rockholt, Mika M.;Kenefati, George;Doan, Lisa V.;Chen, Zhe Sage;Wang, Jing
• 通讯作者: Wang, Jing