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中国科学院脑科学与智能技术卓越创新中心 Center for Excellence in Brain Science and intelligence Technology, Chinese Academy of Sciences
研究组组长,研究员 Research Fellow
刘丹倩,2010年本科毕业于中国科学技术大学,2016年博士毕业于中国科学院神经科学研究所,2016-2020年在美国加州大学伯克利分校从事博士后研究。自2020年起担任中国科学院脑科学与智能技术卓越创新中心研究员、博士生导师。主要研究睡眠和梦境的功能。近年来发表以第一/通讯作者在国际权威期刊上发表多篇高水平研究论文与综述,包括Nature Neuroscience , Science, Annual Review of Neuroscience 等。
Liu Danqian got her bachelor's degree from the University of Science and Technology of China (USTC) in 2010. In 2016, she completed her Ph.D. with Dr. Mu-Ming Poo at the Institute of Neuroscience, Chinese Academy of Sciences, studying synaptic plasticity underlying fear memory. From 2016 to 2020, she got her postdoctoral training with Dr. Yang Dan at the University of California, Berkeley. Currently, Danqian is a principal investigator and doctoral supervisor at the Center for Excellence in Brain Science and Intelligent Technology, Chinese Academy of Sciences. Her main researches focus on the functions of sleep and dreams. As a first or corresponding author, she has published multiple research articles or reviews, including Nature Neuroscience (2022, 2016), Trends in Neurosciences (2023), Science (2020), Annual Review of Neuroscience (2019).
报告题目:
自动化小鼠行为分析揭示睡眠调控的全新机制
Automated analysis of mouse behavior reveals novel mechanisms of sleep regulation
报告摘要:
清醒、快速眼动(REM)睡眠和非快速眼动(NREM)睡眠具有显著不同的脑电、肌电和自主神经活动。应用多种小鼠行为的自动化分析算法,我们揭示了全新的参与睡眠调控的皮层和皮层下神经机制。结合深度学习算法对小鼠行为的自动化分析、特定细胞类型的电生理记录、光遗传学操作和病毒介导的回路追踪,我们发现清醒-睡眠脑状态和运动行为由黑质网状部(SNr)中的特定神经元集群所协同调控。这些GABA能神经元整合广泛的输入信号,并通过广泛的胶质投射与多个促觉醒和运动控制回路相连,主动抑制运动输出促进NREM睡眠的发生。运用小鼠面部表情自动化分析,我们发现小鼠的REM睡眠可以分成两个顺序发生的亚阶段,具有显著不同的面部运动、自主神经活动和脑电图θ波振荡。通过全皮层钙成像,我们发现REM睡眠伴随着高度有规律的皮层活动波,其中后脾区皮层(RSC)是主要的起始区域。对RSC层2/3锥体神经元进行双光子成像揭示了REM睡眠期间两种不同的群体活动模式。这些活动编码了两个顺序的REM睡眠亚阶段。在REM睡眠期间对RSC进行闭环光遗传学失活证明了RSC在皮层动态和调节REM睡眠进程中的重要作用。
Wakefulness, rapid eye movement (REM) sleep, and non–rapid eye movement (NREM) sleep are characterized by distinct electroencephalogram (EEG), electromyogram (EMG), and autonomic profiles. Using automated analysis of mouse behavior, our recent works have uncovered novel subcortical and cortical mechanisms coordinating these changes for sleep regulation. Using a combination of a deep-learning algorithm for automated analysis of mouse behavior, cell type-specific electrophysiological recording, optogenetic manipulation, and virus-mediated circuit tracing, we discovered that sleep–wake brain states and motor behaviors are coregulated by shared neurons in the substantia nigra pars reticulate (SNr). These GABAergic neurons integrate wide-ranging inputs and innervate multiple arousal-promoting and motor-control circuits through extensive collateral projections, actively repressing movement for NREM sleep generation. Using facial expression analysis, we idenfitied two distinct REM sleep substages, characterized by contrasting facial movement and autonomic activity and by distinguishable electroencephalogram theta oscillations. By performing cortex-wide calcium imaging, we found that REM sleep is accompanied by highly patterned cortical activity waves, with the retrosplenial cortex (RSC) as a major initiation site. Two-photon imaging of layer 2/3 pyramidal neurons of the RSC revealed two distinct patterns of population activities during REM sleep, encoding the two sequential REM sleep substages. Closed-loop optogenetic inactivation of RSC during REM sleep further highlights the important role of the RSC in dictating cortical dynamics and regulating REM sleep progression.
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刘丹倩,2010年本科毕业于中国科学技术大学,2016年博士毕业于中国科学院神经科学研究所,2016-2020年在美国加州大学伯克利分校从事博士后研究。自2020年起担任中国科学院脑科学与智能技术卓越创新中心研究员、博士生导师。主要研究睡眠和梦境的功能。近年来发表以第一/通讯作者在国际权威期刊上发表多篇高水平研究论文与综述,包括Nature Neuroscience , Science, Annual Review of Neuroscience 等。
Liu Danqian got her bachelor's degree from the University of Science and Technology of China (USTC) in 2010. In 2016, she completed her Ph.D. with Dr. Mu-Ming Poo at the Institute of Neuroscience, Chinese Academy of Sciences, studying synaptic plasticity underlying fear memory. From 2016 to 2020, she got her postdoctoral training with Dr. Yang Dan at the University of California, Berkeley. Currently, Danqian is a principal investigator and doctoral supervisor at the Center for Excellence in Brain Science and Intelligent Technology, Chinese Academy of Sciences. Her main researches focus on the functions of sleep and dreams. As a first or corresponding author, she has published multiple research articles or reviews, including Nature Neuroscience (2022, 2016), Trends in Neurosciences (2023), Science (2020), Annual Review of Neuroscience (2019).
报告题目:
自动化小鼠行为分析揭示睡眠调控的全新机制
Automated analysis of mouse behavior reveals novel mechanisms of sleep regulation
报告摘要:
清醒、快速眼动(REM)睡眠和非快速眼动(NREM)睡眠具有显著不同的脑电、肌电和自主神经活动。应用多种小鼠行为的自动化分析算法,我们揭示了全新的参与睡眠调控的皮层和皮层下神经机制。结合深度学习算法对小鼠行为的自动化分析、特定细胞类型的电生理记录、光遗传学操作和病毒介导的回路追踪,我们发现清醒-睡眠脑状态和运动行为由黑质网状部(SNr)中的特定神经元集群所协同调控。这些GABA能神经元整合广泛的输入信号,并通过广泛的胶质投射与多个促觉醒和运动控制回路相连,主动抑制运动输出促进NREM睡眠的发生。运用小鼠面部表情自动化分析,我们发现小鼠的REM睡眠可以分成两个顺序发生的亚阶段,具有显著不同的面部运动、自主神经活动和脑电图θ波振荡。通过全皮层钙成像,我们发现REM睡眠伴随着高度有规律的皮层活动波,其中后脾区皮层(RSC)是主要的起始区域。对RSC层2/3锥体神经元进行双光子成像揭示了REM睡眠期间两种不同的群体活动模式。这些活动编码了两个顺序的REM睡眠亚阶段。在REM睡眠期间对RSC进行闭环光遗传学失活证明了RSC在皮层动态和调节REM睡眠进程中的重要作用。
Wakefulness, rapid eye movement (REM) sleep, and non–rapid eye movement (NREM) sleep are characterized by distinct electroencephalogram (EEG), electromyogram (EMG), and autonomic profiles. Using automated analysis of mouse behavior, our recent works have uncovered novel subcortical and cortical mechanisms coordinating these changes for sleep regulation. Using a combination of a deep-learning algorithm for automated analysis of mouse behavior, cell type-specific electrophysiological recording, optogenetic manipulation, and virus-mediated circuit tracing, we discovered that sleep–wake brain states and motor behaviors are coregulated by shared neurons in the substantia nigra pars reticulate (SNr). These GABAergic neurons integrate wide-ranging inputs and innervate multiple arousal-promoting and motor-control circuits through extensive collateral projections, actively repressing movement for NREM sleep generation. Using facial expression analysis, we idenfitied two distinct REM sleep substages, characterized by contrasting facial movement and autonomic activity and by distinguishable electroencephalogram theta oscillations. By performing cortex-wide calcium imaging, we found that REM sleep is accompanied by highly patterned cortical activity waves, with the retrosplenial cortex (RSC) as a major initiation site. Two-photon imaging of layer 2/3 pyramidal neurons of the RSC revealed two distinct patterns of population activities during REM sleep, encoding the two sequential REM sleep substages. Closed-loop optogenetic inactivation of RSC during REM sleep further highlights the important role of the RSC in dictating cortical dynamics and regulating REM sleep progression.