1
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Sun H, Shen S, Thomas RJ, Westover MB, Zhang C. Sleep as a window to understand and regulate Alzheimer's disease: emerging roles of thalamic reticular nucleus. Neural Regen Res 2025; 20:1711-1712. [PMID: 39104106 PMCID: PMC11688547 DOI: 10.4103/nrr.nrr-d-24-00351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 05/16/2024] [Accepted: 05/25/2024] [Indexed: 08/07/2024] Open
Affiliation(s)
- Haoqi Sun
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Shiqian Shen
- Center for Translational Pain Research, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert J. Thomas
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - M. Brandon Westover
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Can Zhang
- Genetics and Aging Research Unit, McCance Center for Brain Health, Mass General Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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2
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Serantes D, Cavelli M, Gonzalez J, Mondino A, Benedetto L, Torterolo P. Characterising the power spectrum dynamics of the non-REM to REM sleep transition. J Sleep Res 2025; 34:e14388. [PMID: 39520222 DOI: 10.1111/jsr.14388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/11/2024] [Accepted: 10/16/2024] [Indexed: 11/16/2024]
Abstract
The transition from non-rapid eye movement (NREM) to rapid eye movement (REM) sleep is considered a transitional or intermediate stage (IS), characterised by high amplitude spindles in the frontal cortex and theta activity in the occipital cortex. Early reports in rats showed an IS lasting from 1 to 5 s, but recent studies suggested a longer duration of this stage of up to 20 s. To further characterise the IS, we analysed its spectral characteristics on electrocorticogram (ECoG) recordings of the olfactory bulb (OB), primary motor (M1), primary somatosensory (S1), and secondary visual cortex (V2) in 12 Wistar male adult rats. By comparing the IS with consolidated NREM/REM epochs, our results reveal that the IS has specific power spectral patterns that fall out of the NREM and REM sleep state power distribution. Specifically, the main findings were that sigma (11-16 Hz) power in OB, M1, S1, and V2 increased during the IS compared with NREM and REM sleep, which started first in the frontal part of the brain (OB -54 s, M1 -53 s) prior to the last spindle occurrence. The beta band (17-30 Hz) power showed a similar pattern to that of the sigma band, starting -54 s before the last spindle occurrence in the M1 cortex. Notably, sigma infraslow coupling (~0.02 Hz) increased during the IS but occurred at a slower frequency (~0.01 Hz) compared with NREM sleep. Thus, we argue that the NREM to REM transition contains its own local spectral profile, in accordance with previous reports, and is more extended than described previously.
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Affiliation(s)
- Diego Serantes
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Matías Cavelli
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
- Department of Psychiatry, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Joaquín Gonzalez
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Alejandra Mondino
- Departamento de Clínicas y Hospital Veterinario, Unidad de Medicina de Pequeños Animales, Neurología, Universidad de la República, Montevideo, Uruguay
- Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Luciana Benedetto
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Pablo Torterolo
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
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3
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Ye X, Pang S, Ren X, Wang H, Chen M. Neurotransmitter modulation of sleep-wake States: From molecular mechanisms to therapeutic potential. Sleep Med 2025; 132:106547. [PMID: 40359849 DOI: 10.1016/j.sleep.2025.106547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2025] [Revised: 04/14/2025] [Accepted: 04/28/2025] [Indexed: 05/15/2025]
Abstract
Sleep is one of the most fundamental physiological activities in humans and animals, and a normal sleep cycle is crucial for maintaining overall health. However, sleep disorders are increasingly becoming a major mental health issue affecting individuals and society, as well as a contributing factor to the onset of other diseases. Consequently, the development of novel therapeutic strategies for sleep disorders has emerged as a significant scientific challenge garnering widespread attention. Based on current research findings, focusing on neurotransmitters remains a promising approach for developing effective treatments. Neurotransmitters play a central role in regulating the sleep-wake cycle by precisely modulating the activity states of different brain regions. This review aims to elucidate the neural mechanisms underlying sleep initiation and function, thereby providing a comprehensive understanding of the complex nature of sleep as a physiological process. Furthermore, it seeks to uncover the potential pathological mechanisms of sleep disorders, offering a theoretical foundation and novel insights for precision medicine and drug development, ultimately reducing the negative impact of sleep disorders on individuals and society.
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Affiliation(s)
- Xinyi Ye
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
| | - Shuchao Pang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, 300381, China.
| | - Xiaoliang Ren
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
| | - Hui Wang
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
| | - Meiling Chen
- College of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
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4
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Foustoukos G, Lüthi A. Monoaminergic signaling during mammalian NREM sleep - Recent insights and next-level questions. Curr Opin Neurobiol 2025; 92:103025. [PMID: 40267623 DOI: 10.1016/j.conb.2025.103025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2025] [Revised: 03/10/2025] [Accepted: 03/24/2025] [Indexed: 04/25/2025]
Abstract
Subcortical neuromodulatory activity in the mammalian brain enables flexible wake behaviors, which are essential for survival in an ever-changing external environment. With the suppression of such behaviors in sleep, this activity is, on average, much reduced. Recent discoveries, enabled by unprecedented technical advancements, challenge the long-standing view that monoaminergic systems-noradrenaline (NA), dopamine (DA), and serotonin (5-HT)-remain largely inactive during sleep. This review highlights recent technological and scientific progress in this field, summarizing evidence that monoaminergic signaling in the brain supplements sleep with essential wake-related functions. Stress and/or neuropsychiatric conditions negatively impact on monoaminergic signaling, which can lead to sleep disruptions. Furthermore, subcortical neuromodulatory systems are vulnerable to neurodegenerative pathologies, which implies them in sleep disruptions at early stages of disease. We propose that future research will be well-invested in elucidating the spatiotemporal organization, cellular mechanisms, and functional relevance of neuromodulatory dynamics across species, and in identifying the molecular and physiological processes that sustain their integrity throughout the lifespan.
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Affiliation(s)
- Georgios Foustoukos
- Department of Fundamental Neurosciences, University of Lausanne, Rue du Bugnon 9, 1005 Lausanne, CH, Switzerland.
| | - Anita Lüthi
- Department of Fundamental Neurosciences, University of Lausanne, Rue du Bugnon 9, 1005 Lausanne, CH, Switzerland.
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5
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Deng Z, Fei X, Zhang S, Xu M. A time window for memory consolidation during NREM sleep revealed by cAMP oscillation. Neuron 2025:S0896-6273(25)00220-X. [PMID: 40233747 DOI: 10.1016/j.neuron.2025.03.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 01/29/2025] [Accepted: 03/14/2025] [Indexed: 04/17/2025]
Abstract
Memory formation requires specific neural activity in coordination with intracellular signaling mediated by second messengers such as cyclic adenosine monophosphate (cAMP). However, the real-time dynamics of cAMP remain largely unknown. Here, using a genetically encoded cAMP sensor with high temporal resolution, we found neural-activity-dependent rapid cAMP elevation during learning. Interestingly, in slow-wave sleep, during which memory consolidation occurs, the cAMP level in mice was anti-correlated with neural activity and exhibited norepinephrine β1 receptor-dependent infra-slow oscillations that were synchronized across the hippocampus and cortex. Furthermore, the hippocampal-cortical interactions increased during the narrow time-window of the peak cAMP level; suppressing hippocampal activity specifically during this window impaired spatial memory consolidation. Thus, hippocampal-dependent memory consolidation occurs within a specific time window of high cAMP activity during slow-wave sleep.
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Affiliation(s)
- Ziru Deng
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; Songjiang Hospital and Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Shanghai Jiao Tong University School of Medicine, Shanghai 201600, China; Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Xiang Fei
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Siyu Zhang
- Songjiang Hospital and Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Shanghai Jiao Tong University School of Medicine, Shanghai 201600, China; Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Min Xu
- Institute of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.
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6
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Turi GF, Teng S, Chen X, Lim ECY, Dias C, Hu R, Wang R, Zhen F, Peng Y. Serotonin modulates infraslow oscillation in the dentate gyrus during non-REM sleep. eLife 2025; 13:RP100196. [PMID: 40178074 PMCID: PMC11968106 DOI: 10.7554/elife.100196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2025] Open
Abstract
Synchronous neuronal activity is organized into neuronal oscillations with various frequency and time domains across different brain areas and brain states. For example, hippocampal theta, gamma, and sharp wave oscillations are critical for memory formation and communication between hippocampal subareas and the cortex. In this study, we investigated the neuronal activity of the dentate gyrus (DG) with optical imaging tools during sleep-wake cycles in mice. We found that the activity of major glutamatergic cell populations in the DG is organized into infraslow oscillations (0.01-0.03 Hz) during NREM sleep. Although the DG is considered a sparsely active network during wakefulness, we found that 50% of granule cells and about 25% of mossy cells exhibit increased activity during NREM sleep, compared to that during wakefulness. Further experiments revealed that the infraslow oscillation in the DG was correlated with rhythmic serotonin release during sleep, which oscillates at the same frequency but in an opposite phase. Genetic manipulation of 5-HT receptors revealed that this neuromodulatory regulation is mediated by Htr1a receptors and the knockdown of these receptors leads to memory impairment. Together, our results provide novel mechanistic insights into how the 5-HT system can influence hippocampal activity patterns during sleep.
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Affiliation(s)
- Gergely F Turi
- New York State Psychiatric Institute, Division of Systems Neuroscience New YorkNew YorkUnited States
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - Sasa Teng
- Institute for Genomic Medicine, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - Xinyue Chen
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
- Department of Neuroscience, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - Emily CY Lim
- Columbia College, Columbia UniversityNew YorkUnited States
| | - Carla Dias
- New York State Psychiatric Institute, Division of Systems Neuroscience New YorkNew YorkUnited States
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - Ruining Hu
- Institute for Genomic Medicine, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - Ruizhi Wang
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - Fenghua Zhen
- Institute for Genomic Medicine, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - Yueqing Peng
- Institute for Genomic Medicine, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
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7
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Sheybani L, Frauscher B, Bernard C, Walker MC. Mechanistic insights into the interaction between epilepsy and sleep. Nat Rev Neurol 2025; 21:177-192. [PMID: 40065066 DOI: 10.1038/s41582-025-01064-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2025] [Indexed: 04/04/2025]
Abstract
Epidemiological evidence has demonstrated associations between sleep and epilepsy, but we lack a mechanistic understanding of these associations. If sleep affects the pathophysiology of epilepsy and the risk of seizures, as suggested by correlative evidence, then understanding these effects could provide crucial insight into the basic mechanisms that underlie the development of epilepsy and the generation of seizures. In this Review, we provide in-depth discussion of the associations between epilepsy and sleep at the cellular, network and system levels and consider the mechanistic underpinnings of these associations. We also discuss the clinical relevance of these associations, highlighting how they could contribute to improvements in the management of epilepsy. A better understanding of the mechanisms that govern the interactions between epilepsy and sleep could guide further research and the development of novel approaches to the management of epilepsy.
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Affiliation(s)
- Laurent Sheybani
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK.
- NIHR University College London Hospitals Biomedical Research Centre, London, UK.
| | - Birgit Frauscher
- Department of Neurology, Duke University Medical Center, Durham, NC, USA
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Christophe Bernard
- Aix Marseille Université, INSERM, INS, Institute Neurosciences des Systèmes, Marseille, France
| | - Matthew C Walker
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
- NIHR University College London Hospitals Biomedical Research Centre, London, UK
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8
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Ji Y, Xu F, Shuai J, Yang D, Yao C. Dynamical mechanism for the interplay of circadian, homeostatic, and ultradian rhythm in normal human sleep. Phys Rev E 2025; 111:044215. [PMID: 40411008 DOI: 10.1103/physreve.111.044215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 04/02/2025] [Indexed: 05/26/2025]
Abstract
The 90-minute ultradian rhythm is a hallmark of healthy human sleep, yet its governing mechanisms remain elusive. In this study, we develop a biologically grounded sleep model to unravel the complex dynamics underlying this rhythm. Our model integrates both circadian and ultradian drives, which collectively shape sleep architecture, along with bidirectional "flip-flop" switches that control transitions between wakefulness, nonrapid eye movement (NREM) sleep, and rapid eye movement (REM) sleep. Calibrated with empirically derived neurophysiological parameters, the model successfully reproduces core sleep features, including the 24-hour circadian rhythm and the 90-minute ultradian rhythm. To dissect state transition mechanisms, we employ potential landscape analysis to quantify how global stability is modulated by three key factors: circadian drive, homeostatic drive, and REM pressure. Our results reveal that the ultradian rhythm emerges from an interplay between a weak ultradian drive and REM pressure. In a reduced model focusing on NREM-REM interactions, we demonstrate that the periodic transitions between NREM and REM sleep arise from a saddle-node bifurcation on an invariant circle (SNIC) induced by REM sleep pressure. Additionally, the ultradian drive entrains the rhythmic NREM-REM system to exhibit the stable 90-minute ultradian rhythm, as characterized by the Arnold tongue. Our work provides the mechanistic explanation of the 90-minute ultradian rhythm, identifying REM pressure as its core regulator and highlighting the SNIC bifurcation together with the Arnold tongue as its dynamical mechanisms. This framework establishes testable neurophysiological requirements for experimental validation, thereby bridging theoretical models with empirical sleep neuroscience.
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Affiliation(s)
- Yinchu Ji
- Zhejiang Normal University, School of Mathematical Sciences, JinHua 312000, China
- Jiaxing University, College of Data Science, Jiaxing 314000, China
| | - Fei Xu
- Anhui Normal University, Department of Physics, Wuhu 241000, China
| | - Jianwei Shuai
- University of Chinese Academy of Sciences, Wenzhou Key Laboratory of Biophysics, Wenzhou Institute, Wenzhou 325000, China
| | - Dongping Yang
- Zhejiang Lab, Research Center for Frontier Fundamental Studies, Hangzhou Zhejiang 311101, China
| | - Chenggui Yao
- Jiaxing University, College of Data Science, Jiaxing 314000, China
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9
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Abstract
Since one of its first descriptions 70 years ago, rapid eye movement sleep has continually inspired and excited new generations of sleep researchers. Despite significant advancements in understanding its neurocircuitry, underlying mechanisms and microstates, many questions regarding its function, especially beyond the early neurodevelopment, remain unanswered. This opinion review delves into some of the unresolved issues in rapid eye movement sleep research, highlighting the ongoing need for comprehensive exploration in this fascinating field.
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Affiliation(s)
- Liborio Parrino
- Sleep Medicine CenterUniversity of ParmaParmaItaly
- Neurology UnitParma University HospitalParmaItaly
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, Institute of PsychiatryPsychology and Neuroscience (IoPPN), King's College LondonLondonUK
- Sleep Disorders CentreGuy's and St Thomas' NHS Foundation TrustLondonUK
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10
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Mortazavi N, Talwar P, Koshmanova E, Sharifpour R, Beckers E, Berger A, Campbell I, Paparella I, Balda F, Dardour Hamzaoui I, Berthomier C, Bastin C, Phillips C, Maquet P, Collette F, Zubkov M, Lamalle L, Vandewalle G. REM sleep quality is associated with balanced tonic activity of the locus coeruleus during wakefulness. J Biomed Sci 2025; 32:35. [PMID: 40069818 PMCID: PMC11900061 DOI: 10.1186/s12929-025-01127-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Accepted: 02/21/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND Animal studies established that the locus coeruleus (LC) plays important roles in sleep and wakefulness regulation. Whether it contributes to sleep variability in humans is not yet established. Here, we investigated if the in vivo activity of the LC is related to the variability in the quality of Rapid Eye Movement (REM) sleep. METHODS We assessed the LC activity of 34 healthy younger (~ 22y) and 18 older (~ 61y) individuals engaged in bottom-up and top-down cognitive tasks using 7-Tesla functional Magnetic Resonance Imaging (fMRI). We further recorded their sleep electroencephalogram (EEG) to evaluate associations between LC fMRI measures and REM sleep EEG metrics. RESULTS Theta oscillation energy during REM sleep was positively associated with LC response in the top-down task. In contrast, REM sleep theta energy was negatively associated with LC activity in older individuals during the bottom-up task. Importantly, sigma oscillations power immediately preceding a REM sleep episode was positively associated with LC activity in the top-down task. CONCLUSIONS LC activity during wakefulness was related to REM sleep intensity and to a transient EEG change preceding REM sleep, a feature causally related to LC activity in animal studies. The associations depend on the cognitive task, suggesting that a balanced level of LC tonic activity during wakefulness is required for optimal expression of REM sleep. The findings may have implications for the high prevalence of sleep complaints reported in aging and for disorders such as insomnia, Alzheimer's, and Parkinson's disease, for which the LC may play pivotal roles through sleep.
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Affiliation(s)
- Nasrin Mortazavi
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Puneet Talwar
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Ekaterina Koshmanova
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Roya Sharifpour
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Elise Beckers
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
- Faculty of Health, Medicine and Life Sciences, Mental Health and Neuroscience Research Institute, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Alexandre Berger
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
- Department of Clinical Neuroscience, Institute of Neuroscience (Ions), Université Catholique de Louvain (UCLouvain), Brussels, Belgium
- Synergia Medical SA, Mont-Saint-Guibert, Belgium
| | - Islay Campbell
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Ilenia Paparella
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Fermin Balda
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Ismael Dardour Hamzaoui
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | | | - Christine Bastin
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
- Psyncog, University of Liège, Liège, Belgium
| | - Christophe Phillips
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Pierre Maquet
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
- Neurology Department, CHU de Liège, Liège, Belgium
| | - Fabienne Collette
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
- Psyncog, University of Liège, Liège, Belgium
| | - Mikhail Zubkov
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Laurent Lamalle
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium
| | - Gilles Vandewalle
- GIGA-Institute, CRC-Human Imaging, University of Liège, Bâtiment B30, 8 Allée du Six Août, Sart Tilman, 4000, Liège, Belgium.
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11
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Sun H, Parekh A, Thomas RJ. Artificial Intelligence Can Drive Sleep Medicine. Sleep Med Clin 2025; 20:81-91. [PMID: 39894601 PMCID: PMC11829804 DOI: 10.1016/j.jsmc.2024.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2025]
Abstract
This article explores the transformative role of artificial intelligence (AI) in sleep medicine, highlighting its applications in detecting sleep microstructure patterns and integrating novel metrics. AI enhances diagnostic accuracy and objectivity, addressing inter-rater variability. AI also facilitates the classification of sleep disorders and the prediction of health outcomes. AI can drive sleep medicine to achieve deeper insights into sleep's impact on health, leading to personalized treatment strategies and improved patient care.
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Affiliation(s)
- Haoqi Sun
- Department of Neurology, Beth Israel Deaconess Medical Center, DA-0815, East Campus, 330 Brookline Avenue, Boston, MA 02215, USA
| | - Ankit Parekh
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Robert Joseph Thomas
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
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12
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Carro-Domínguez M, Huwiler S, Oberlin S, Oesch TL, Badii G, Lüthi A, Wenderoth N, Meissner SN, Lustenberger C. Pupil size reveals arousal level fluctuations in human sleep. Nat Commun 2025; 16:2070. [PMID: 40021662 PMCID: PMC11871316 DOI: 10.1038/s41467-025-57289-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 02/18/2025] [Indexed: 03/03/2025] Open
Abstract
Recent animal research has revealed the intricate dynamics of arousal levels that are important for maintaining proper sleep resilience and memory consolidation. In humans, changes in arousal level are believed to be a determining characteristic of healthy and pathological sleep but tracking arousal level fluctuations has been methodologically challenging. Here we measured pupil size, an established indicator of arousal levels, by safely taping the right eye open during overnight sleep and tested whether pupil size affects cortical response to auditory stimulation. We show that pupil size dynamics change as a function of important sleep events across different temporal scales. In particular, our results show pupil size to be inversely related to the occurrence of sleep spindle clusters, a marker of sleep resilience. Additionally, we found pupil size prior to auditory stimulation to influence the evoked response, most notably in delta power, a marker of several restorative and regenerative functions of sleep. Recording pupil size dynamics provides insights into the interplay between arousal levels and sleep oscillations.
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Affiliation(s)
- Manuel Carro-Domínguez
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092, Zurich, Switzerland
| | - Stephanie Huwiler
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092, Zurich, Switzerland
| | - Stella Oberlin
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092, Zurich, Switzerland
| | - Timona Leandra Oesch
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092, Zurich, Switzerland
| | | | - Anita Lüthi
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Nicole Wenderoth
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092, Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Center, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Neuroscience Center Zurich (ZNZ), University of Zurich, ETH Zurich, Zurich, Switzerland
| | - Sarah Nadine Meissner
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092, Zurich, Switzerland
| | - Caroline Lustenberger
- Neural Control of Movement Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, 8092, Zurich, Switzerland.
- Neuroscience Center Zurich (ZNZ), University of Zurich, ETH Zurich, Zurich, Switzerland.
- Center of Competence Sleep & Health Zurich, University of Zurich, Zurich, Switzerland.
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13
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Toth BA, Burgess CR. Phasic Dopamine Release in the Nucleus Accumbens Influences REM Sleep Timing. J Neurosci 2025; 45:e1374242024. [PMID: 39794128 PMCID: PMC11867001 DOI: 10.1523/jneurosci.1374-24.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 12/04/2024] [Accepted: 12/05/2024] [Indexed: 01/13/2025] Open
Abstract
Based on the activity of dopamine (DA) neurons during behavioral states, the DA system has long been thought to be foundational in regulating sleep-wake behavior; over the past decade, advances in circuit manipulation and recording techniques have strengthened this perspective. Recently, several studies have demonstrated that DA release in regions of the limbic system is important in the promotion of REM sleep. Yet how DA dynamics change within bouts of sleep, how these changes are regulated, and whether they influence future state changes remains unclear. To address these questions, in mice of both sexes we used in vivo fiber photometry and inhibitory optogenetics to identify a specific role of DA transients in the nucleus accumbens (NAcc) in state transitions from NREM sleep. We found that DA transients increase their frequency and amplitude over the duration of NREM sleep and that this increase is more pronounced during NREM bouts that transition into REM sleep. Next, we found that DA transients in NREM sleep are influenced by changes in REM sleep pressure. Finally, we show that transient DA release in the NAcc plays a functional role in regulating the timing of REM sleep entrances, as inhibition of midbrain DA neuron terminals in the NAcc prolonged bouts of NREM sleep and decreased the frequency of bouts of REM sleep. These findings demonstrate that DA release in the NAcc is dynamically regulated by sleep pressure and has a functional role in transitions from NREM sleep, particularly those into REM sleep.
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Affiliation(s)
- Brandon A Toth
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan 48109
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, Michigan 48109
| | - Christian R Burgess
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, Michigan 48109
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, Michigan 48109
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan 48109
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14
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Lüthi A, Nedergaard M. Anything but small: Microarousals stand at the crossroad between noradrenaline signaling and key sleep functions. Neuron 2025; 113:509-523. [PMID: 39809276 DOI: 10.1016/j.neuron.2024.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 09/16/2024] [Accepted: 12/10/2024] [Indexed: 01/16/2025]
Abstract
Continuous sleep restores the brain and body, whereas fragmented sleep harms cognition and health. Microarousals (MAs), brief (3- to 15-s-long) wake intrusions into sleep, are clinical markers for various sleep disorders. Recent rodent studies show that MAs during healthy non-rapid eye movement (NREM) sleep are driven by infraslow fluctuations of noradrenaline (NA) in coordination with electrophysiological rhythms, vasomotor activity, cerebral blood volume, and glymphatic flow. MAs are hence part of healthy sleep dynamics, raising questions about their biological roles. We propose that MAs bolster NREM sleep's benefits associated with NA fluctuations, according to an inverted U-shaped curve. Weakened noradrenergic fluctuations, as may occur in neurodegenerative diseases or with sleep aids, reduce MAs, whereas exacerbated fluctuations caused by stress fragment NREM sleep and collapse NA signaling. We suggest that MAs are crucial for the restorative and plasticity-promoting functions of sleep and advance our insight into normal and pathological arousal dynamics from sleep.
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Affiliation(s)
- Anita Lüthi
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.
| | - Maiken Nedergaard
- Division of Glial Disease and Therapeutics, Center for Translational Neuromedicine, University of Copenhagen, Copenhagen, Denmark; Center for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, USA.
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15
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Hauglund NL, Andersen M, Tokarska K, Radovanovic T, Kjaerby C, Sørensen FL, Bojarowska Z, Untiet V, Ballestero SB, Kolmos MG, Weikop P, Hirase H, Nedergaard M. Norepinephrine-mediated slow vasomotion drives glymphatic clearance during sleep. Cell 2025; 188:606-622.e17. [PMID: 39788123 DOI: 10.1016/j.cell.2024.11.027] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 08/29/2024] [Accepted: 11/18/2024] [Indexed: 01/12/2025]
Abstract
As the brain transitions from wakefulness to sleep, processing of external information diminishes while restorative processes, such as glymphatic removal of waste products, are activated. Yet, it is not known what drives brain clearance during sleep. We here employed an array of technologies and identified tightly synchronized oscillations in norepinephrine, cerebral blood volume, and cerebrospinal fluid (CSF) as the strongest predictors of glymphatic clearance during NREM sleep. Optogenetic stimulation of the locus coeruleus induced anti-correlated changes in vasomotion and CSF signal. Furthermore, stimulation of arterial oscillations enhanced CSF inflow, demonstrating that vasomotion acts as a pump driving CSF into the brain. On the contrary, the sleep aid zolpidem suppressed norepinephrine oscillations and glymphatic flow, highlighting the critical role of norepinephrine-driven vascular dynamics in brain clearance. Thus, the micro-architectural organization of NREM sleep, driven by norepinephrine fluctuations and vascular dynamics, is a key determinant for glymphatic clearance.
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Affiliation(s)
- Natalie L Hauglund
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark; Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, UK; Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet, 2600 Glostrup, Denmark
| | - Mie Andersen
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Klaudia Tokarska
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Tessa Radovanovic
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Celia Kjaerby
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Frederikke L Sørensen
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Zuzanna Bojarowska
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Verena Untiet
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Sheyla B Ballestero
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Mie G Kolmos
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Pia Weikop
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Hajime Hirase
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Maiken Nedergaard
- Center for Translational Neuromedicine, University of Copenhagen, 2200 Copenhagen N, Denmark; Center for Translational Neuromedicine, University of Rochester, Rochester, NY 14627, USA.
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16
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Silverman D, Chen C, Chang S, Bui L, Zhang Y, Raghavan R, Jiang A, Le A, Darmohray D, Sima J, Ding X, Li B, Ma C, Dan Y. Activation of locus coeruleus noradrenergic neurons rapidly drives homeostatic sleep pressure. SCIENCE ADVANCES 2025; 11:eadq0651. [PMID: 39823324 PMCID: PMC11740930 DOI: 10.1126/sciadv.adq0651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 12/17/2024] [Indexed: 01/19/2025]
Abstract
Homeostatic sleep regulation is essential for optimizing the amount and timing of sleep for its revitalizing function, but the mechanism underlying sleep homeostasis remains poorly understood. Here, we show that optogenetic activation of locus coeruleus (LC) noradrenergic neurons immediately increased sleep propensity following a transient wakefulness, contrasting with many other arousal-promoting neurons whose activation induces sustained wakefulness. Fiber photometry showed that repeated optogenetic or sensory stimulation caused a rapid reduction of calcium activity in LC neurons and steep declines in noradrenaline/norepinephrine (NE) release in both the LC and medial prefrontal cortex (mPFC). Knockdown of α2A adrenergic receptors in LC neurons mitigated the decline of NE release induced by repetitive stimulation and extended wakefulness, demonstrating an important role of α2A receptor-mediated auto-suppression of NE release. Together, these results suggest that functional fatigue of LC noradrenergic neurons, which reduces their wake-promoting capacity, contributes to sleep pressure.
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Affiliation(s)
- Daniel Silverman
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Changwan Chen
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Shuang Chang
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | | | | | - Rishi Raghavan
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Anna Jiang
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - April Le
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Dana Darmohray
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jiao Sima
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Xinlu Ding
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | | | | | - Yang Dan
- Department of Neuroscience, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
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17
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Chen S, He M, Brown RE, Eden UT, Prerau MJ. Individualized temporal patterns drive human sleep spindle timing. Proc Natl Acad Sci U S A 2025; 122:e2405276121. [PMID: 39772740 PMCID: PMC11745340 DOI: 10.1073/pnas.2405276121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 11/15/2024] [Indexed: 01/11/2025] Open
Abstract
Sleep spindles are cortical electrical oscillations considered critical for memory consolidation and sleep stability. The timing and pattern of sleep spindles are likely to be important in driving synaptic plasticity during sleep as well as preventing disruption of sleep by sensory and internal stimuli. However, the relative importance of factors such as sleep depth, cortical up/down-state, and temporal clustering in governing sleep spindle dynamics remains poorly understood. Here, we analyze sleep data from 1,025 participants, statistically modeling the simultaneous influences of multiple factors on moment-to-moment spindle production using a point process-generalized linear model framework. Results reveal fingerprint-like timing patterns, characterized by a refractory period followed by a period of increased spindle activity, which are highly individualized yet consistent night-to-night, with increased variability with age. Strikingly, short-term (<15 s) temporal patterns of past spindle history are the main determinant of spindle timing, accounting for over 70% of the statistical deviance-surpassing the contribution of factors such as cortical up/down-state (slow oscillation phase), sleep depth, and long-term history (15 to 90 s, including ~50 s infraslow activity). Short-term history has a statistically significant influence in over 98% of the population, suggesting it is a near-universal feature of spindle activity. Short-term history and slow oscillation phase exert independent effects on spindle timing. Our results establish a robust statistical framework to examine abnormalities in sleep spindle timing observed in neurological disorders and aging, as well as the relationship between individualized sleep spindle timing, cognition, and sleep stability.
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Affiliation(s)
- Shuqiang Chen
- Graduate Program for Neuroscience, Boston University, Boston, MA02215
| | - Mingjian He
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA02114
- Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA02139
| | - Ritchie E. Brown
- Department of Psychiatry, Veterans Affairs Boston Healthcare System and Harvard Medical School, Boston, MA02132
| | - Uri T. Eden
- Department of Mathematics and Statistics, Boston University, Boston, MA02215
| | - Michael J. Prerau
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA02115
- Department of Medicine, Harvard Medical School, Boston, MA02115
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18
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Osorio-Forero A, Foustoukos G, Cardis R, Cherrad N, Devenoges C, Fernandez LMJ, Lüthi A. Infraslow noradrenergic locus coeruleus activity fluctuations are gatekeepers of the NREM-REM sleep cycle. Nat Neurosci 2025; 28:84-96. [PMID: 39587312 DOI: 10.1038/s41593-024-01822-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/15/2024] [Indexed: 11/27/2024]
Abstract
The noradrenergic locus coeruleus (LC) regulates arousal levels during wakefulness, but its role in sleep remains unclear. Here, we show in mice that fluctuating LC neuronal activity partitions non-rapid-eye-movement sleep (NREMS) into two brain-autonomic states that govern the NREMS-REMS cycle over ~50-s periods; high LC activity induces a subcortical-autonomic arousal state that facilitates cortical microarousals, whereas low LC activity is required for NREMS-to-REMS transitions. This functional alternation regulates the duration of the NREMS-REMS cycle by setting permissive windows for REMS entries during undisturbed sleep while limiting these entries to maximally one per ~50-s period during REMS restriction. A stimulus-enriched, stress-promoting wakefulness was associated with longer and shorter levels of high and low LC activity, respectively, during subsequent NREMS, resulting in more microarousal-induced NREMS fragmentation and delayed REMS onset. We conclude that LC activity fluctuations are gatekeepers of the NREMS-REMS cycle and that this role is influenced by adverse wake experiences.
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Affiliation(s)
- Alejandro Osorio-Forero
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Georgios Foustoukos
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Romain Cardis
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Najma Cherrad
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Christiane Devenoges
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Laura M J Fernandez
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland
| | - Anita Lüthi
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, Switzerland.
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19
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Chang H, Tang W, Wulf AM, Nyasulu T, Wolf ME, Fernandez-Ruiz A, Oliva A. Sleep microstructure organizes memory replay. Nature 2025; 637:1161-1169. [PMID: 39743590 PMCID: PMC12107872 DOI: 10.1038/s41586-024-08340-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 11/05/2024] [Indexed: 01/04/2025]
Abstract
Recently acquired memories are reactivated in the hippocampus during sleep, an initial step for their consolidation1-3. This process is concomitant with the hippocampal reactivation of previous memories4-6, posing the problem of how to prevent interference between older and recent, initially labile, memory traces. Theoretical work has suggested that consolidating multiple memories while minimizing interference can be achieved by randomly interleaving their reactivation7-10. An alternative is that a temporal microstructure of sleep can promote the reactivation of different types of memories during specific substates. Here, to test these two hypotheses, we developed a method to simultaneously record large hippocampal ensembles and monitor sleep dynamics through pupillometry in naturally sleeping mice. Oscillatory pupil fluctuations revealed a previously unknown microstructure of non-REM sleep-associated memory processes. We found that memory replay of recent experiences dominated in sharp-wave ripples during contracted pupil substates of non-REM sleep, whereas replay of previous memories preferentially occurred during dilated pupil substates. Selective closed-loop disruption of sharp-wave ripples during contracted pupil non-REM sleep impaired the recall of recent memories, whereas the same manipulation during dilated pupil substates had no behavioural effect. Stronger extrinsic excitatory inputs characterized the contracted pupil substate, whereas higher recruitment of local inhibition was prominent during dilated pupil substates. Thus, the microstructure of non-REM sleep organizes memory replay, with previous versus new memories being temporally segregated in different substates and supported by local and input-driven mechanisms, respectively. Our results suggest that the brain can multiplex distinct cognitive processes during sleep to facilitate continuous learning without interference.
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Affiliation(s)
- Hongyu Chang
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Wenbo Tang
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Annabella M Wulf
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Thokozile Nyasulu
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | - Madison E Wolf
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA
| | | | - Azahara Oliva
- Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, USA.
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20
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Choi A, Kim B, Labriola E, Wiest A, Wang Y, Smith J, Shin H, Jin X, An I, Hong J, Antila H, Thomas S, Bhattarai JP, Beier K, Ma M, Weber F, Chung S. Circuit mechanism underlying fragmented sleep and memory deficits in 16p11.2 deletion mouse model of autism. iScience 2024; 27:111285. [PMID: 39628570 PMCID: PMC11612818 DOI: 10.1016/j.isci.2024.111285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 08/26/2024] [Accepted: 10/25/2024] [Indexed: 12/06/2024] Open
Abstract
Sleep disturbances are prevalent in children with autism spectrum disorder (ASD). Strikingly, sleep problems are positively correlated with the severity of ASD symptoms, such as memory impairment. However, the neural mechanisms underlying sleep disturbances and cognitive deficits in ASD are largely unexplored. Here, we show that non-rapid eye movement sleep (NREMs) is fragmented in the 16p11.2 deletion mouse model of ASD. The degree of sleep fragmentation is reflected in an increased number of calcium transients in the activity of locus coeruleus noradrenergic (LC-NE) neurons during NREMs. In contrast, optogenetic inhibition of LC-NE neurons and pharmacological blockade of noradrenergic transmission using clonidine consolidate sleep. Furthermore, inhibiting LC-NE neurons restores memory. Finally, rabies-mediated screening of presynaptic neurons reveals altered connectivity of LC-NE neurons with sleep- and memory-regulatory regions in 16p11.2 deletion mice. Our findings identify a crucial role of the LC-NE system in regulating sleep stability and memory in ASD.
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Affiliation(s)
- Ashley Choi
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bowon Kim
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Eleanor Labriola
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alyssa Wiest
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yingqi Wang
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jennifer Smith
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hyunsoo Shin
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Xi Jin
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Isabella An
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jiso Hong
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hanna Antila
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Steven Thomas
- Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Janardhan P. Bhattarai
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kevin Beier
- Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Minghong Ma
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Franz Weber
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shinjae Chung
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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21
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Fenk LA, Riquelme JL, Laurent G. Central pattern generator control of a vertebrate ultradian sleep rhythm. Nature 2024; 636:681-689. [PMID: 39506115 PMCID: PMC11655359 DOI: 10.1038/s41586-024-08162-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Accepted: 10/07/2024] [Indexed: 11/08/2024]
Abstract
The mechanisms underlying the mammalian ultradian sleep rhythm-the alternation of rapid-eye-movement (REM) and slow-wave (SW) states-are not well understood but probably depend, at least in part, on circuits in the brainstem1-6. Here, we use perturbation experiments to probe this ultradian rhythm in sleeping lizards (Pogona vitticeps)7-9 and test the hypothesis that it originates in a central pattern generator10,11-circuits that are typically susceptible to phase-dependent reset and entrainment by external stimuli12. Using light pulses, we find that Pogona's ultradian rhythm8 can be reset in a phase-dependent manner, with a critical transition from phase delay to phase advance in the middle of SW. The ultradian rhythm frequency can be decreased or increased, within limits, by entrainment with light pulses. During entrainment, Pogona REM (REMP) can be shortened but not lengthened, whereas SW can be dilated more flexibly. In awake animals, a few alternating light/dark epochs matching natural REMP and SW durations entrain a sleep-like brain rhythm, suggesting the transient activation of an ultradian rhythm generator. In sleeping animals, a light pulse delivered to a single eye causes an immediate ultradian rhythm reset, but only of the contralateral hemisphere; both sides resynchronize spontaneously, indicating that sleep is controlled by paired rhythm-generating circuits linked by functional excitation. Our results indicate that central pattern generators of a type usually known to control motor rhythms may also organize the ultradian sleep rhythm in a vertebrate.
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Affiliation(s)
- Lorenz A Fenk
- Max Planck Institute for Brain Research, Frankfurt, Germany.
- Max Planck Institute for Biological Intelligence, Martinsried, Germany.
| | | | - Gilles Laurent
- Max Planck Institute for Brain Research, Frankfurt, Germany.
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22
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Cankar N, Beschorner N, Tsopanidou A, Qvist FL, Colaço AR, Andersen M, Kjaerby C, Delle C, Lambert M, Mundt F, Weikop P, Jucker M, Mann M, Skotte NH, Nedergaard M. Sleep deprivation leads to non-adaptive alterations in sleep microarchitecture and amyloid-β accumulation in a murine Alzheimer model. Cell Rep 2024; 43:114977. [PMID: 39541211 DOI: 10.1016/j.celrep.2024.114977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 09/09/2024] [Accepted: 10/24/2024] [Indexed: 11/16/2024] Open
Abstract
Impaired sleep is a common aspect of aging and often precedes the onset of Alzheimer's disease. Here, we compare the effects of sleep deprivation in young wild-type mice and their APP/PS1 littermates, a murine model of Alzheimer's disease. After 7 h of sleep deprivation, both genotypes exhibit an increase in EEG slow-wave activity. However, only the wild-type mice demonstrate an increase in the power of infraslow norepinephrine oscillations, which are characteristic of healthy non-rapid eye movement sleep. Notably, the APP/PS1 mice fail to enhance norepinephrine oscillations 24 h after sleep deprivation, coinciding with an accumulation of cerebral amyloid-β protein. Proteome analysis of cerebrospinal fluid and extracellular fluid further supports these findings by showing altered protein clearance in APP/PS1 mice. We propose that the suppression of infraslow norepinephrine oscillations following sleep deprivation contributes to increased vulnerability to sleep loss and heightens the risk of developing amyloid pathology in early stages of Alzheimer's disease.
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Affiliation(s)
- Neža Cankar
- Center for Translational Neuromedicine, Faculty of Medical and Health Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark; Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Natalie Beschorner
- Center for Translational Neuromedicine, Faculty of Medical and Health Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Anastasia Tsopanidou
- Center for Translational Neuromedicine, Faculty of Medical and Health Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Filippa L Qvist
- NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Ana R Colaço
- Proteomics Research Infrastructure, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Mie Andersen
- Center for Translational Neuromedicine, Faculty of Medical and Health Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Celia Kjaerby
- Center for Translational Neuromedicine, Faculty of Medical and Health Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Christine Delle
- Center for Translational Neuromedicine, Faculty of Medical and Health Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Marius Lambert
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Filip Mundt
- NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pia Weikop
- Center for Translational Neuromedicine, Faculty of Medical and Health Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Mathias Jucker
- Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Matthias Mann
- NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Department for Proteomics and Signal Transduction, Max-Planck Institute for Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany
| | - Niels Henning Skotte
- NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Maiken Nedergaard
- Center for Translational Neuromedicine, Faculty of Medical and Health Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark; Center for Translational Neuromedicine, University of Rochester Medical School, Elmwood Avenue 601, Rochester, NY 14642, USA.
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23
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Grimm C, Duss SN, Privitera M, Munn BR, Karalis N, Frässle S, Wilhelm M, Patriarchi T, Razansky D, Wenderoth N, Shine JM, Bohacek J, Zerbi V. Tonic and burst-like locus coeruleus stimulation distinctly shift network activity across the cortical hierarchy. Nat Neurosci 2024; 27:2167-2177. [PMID: 39284964 PMCID: PMC11537968 DOI: 10.1038/s41593-024-01755-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 08/07/2024] [Indexed: 11/07/2024]
Abstract
Noradrenaline (NA) release from the locus coeruleus (LC) changes activity and connectivity in neuronal networks across the brain, modulating multiple behavioral states. NA release is mediated by both tonic and burst-like LC activity. However, it is unknown whether the functional changes in target areas depend on these firing patterns. Using optogenetics, photometry, electrophysiology and functional magnetic resonance imaging in mice, we show that tonic and burst-like LC firing patterns elicit brain responses that hinge on their distinct NA release dynamics. During moderate tonic LC activation, NA release engages regions associated with associative processing, while burst-like stimulation biases the brain toward sensory processing. These activation patterns locally couple with increased astrocytic and inhibitory activity and change the brain's topological configuration in line with the hierarchical organization of the cerebral cortex. Together, these findings reveal how the LC-NA system achieves a nuanced regulation of global circuit operations.
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Affiliation(s)
- Christina Grimm
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Neuro-X institute, School of Engineering (STI), EPFL, Lausanne, Switzerland
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland
| | - Sian N Duss
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Neuroscience Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - Mattia Privitera
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Neuroscience Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - Brandon R Munn
- School of Physics, The University of Sydney, Sydney, New South Wales, Australia
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Nikolaos Karalis
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, Inserm, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Stefan Frässle
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zürich & ETH Zürich, Zürich, Switzerland
| | - Maria Wilhelm
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Neuroscience Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - Tommaso Patriarchi
- Neuroscience Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
- Chemical Neuropharmacology, Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland
| | - Daniel Razansky
- Neuroscience Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zürich, Zürich, Switzerland
- Institute of Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, Munich, Germany
| | - Nicole Wenderoth
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland
- Neuroscience Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland
| | - James M Shine
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Johannes Bohacek
- Laboratory of Molecular and Behavioral Neuroscience, Institute for Neuroscience, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
- Neuroscience Center Zürich, ETH Zürich and University of Zürich, Zürich, Switzerland.
| | - Valerio Zerbi
- Neural Control of Movement Lab, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
- Neuro-X institute, School of Engineering (STI), EPFL, Lausanne, Switzerland.
- CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
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24
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Kelberman MA, Rodberg E, Arabzadeh E, Bair-Marshall CJ, Berridge CW, Berrocoso E, Breton-Provencher V, Chandler DJ, Che A, Davy O, Devilbiss DM, Downs AM, Drummond G, Dvorkin R, Fazlali Z, Froemke RC, Glennon E, Gold JI, Ito H, Jiang X, Johansen JP, Kaye AP, Kim JR, Kuo CC, Liu RJ, Liu Y, Llorca-Torralba M, McCall JG, McElligott ZA, McKinney AM, Miguelez C, Min MY, Nowlan AC, Omrani M, Poe GR, Pickering AE, Ranjbar-Slamloo Y, Razquin J, Rodenkirch C, Sales AC, Satyasambit R, Shea SD, Sur M, Tkaczynski JA, Torres-Sanchez S, Uematsu A, Vazquez CR, Vreven A, Wang Q, Waterhouse BD, Yang HW, Yang JH, Zhao L, Zouridis IS, Weinshenker D, Vazey E, Totah NK. Diversity of ancestral brainstem noradrenergic neurons across species and multiple biological factors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.14.618224. [PMID: 39464004 PMCID: PMC11507722 DOI: 10.1101/2024.10.14.618224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/29/2024]
Abstract
The brainstem region, locus coeruleus (LC), has been remarkably conserved across vertebrates. Evolution has woven the LC into wide-ranging neural circuits that influence functions as broad as autonomic systems, the stress response, nociception, sleep, and high-level cognition among others. Given this conservation, there is a strong possibility that LC activity is inherently similar across species, and furthermore that age, sex, and brain state influence LC activity similarly across species. The degree to which LC activity is homogenous across these factors, however, has never been assessed due to the small sample size of individual studies. Here, we pool data from 20 laboratories (1,855 neurons) and show diversity across both intrinsic and extrinsic factors such as species, age, sex and brain state. We use a negative binomial regression model to compare activity from male monkeys, and rats and mice of both sexes that were recorded across brain states from brain slices ex vivo or under different anesthetics or during wakefulness in vivo. LC activity differed due to complex interactions of species, sex, and brain state. The LC became more active during aging, independent of sex. Finally, in contrast to the foundational principle that all species express two distinct LC firing modes ("tonic" or "phasic"), we discovered great diversity within spontaneous LC firing patterns. Different factors were associated with higher incidence of some firing modes. We conclude that the activity of the evolutionarily-ancient LC is not conserved. Inherent differences due to age and species-sex-brain state interactions have implications for understanding the role of LC in species-specific naturalistic behavior, as well as in psychiatric disorders, cardiovascular disease, immunology, and metabolic disorders.
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Affiliation(s)
- Michael A. Kelberman
- Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
- Department of Human Genetics, Emory University, Atlanta, GA, USA
| | - Ellen Rodberg
- Department of Biology, University of Massachusetts Amherst, Amherst, MA, USA
- Neuroscience and Behavior Program, University of Massachusetts Amherst, Amherst, MA, USA
| | - Ehsan Arabzadeh
- Eccles Institute of Neuroscience, John Curtin School of Medical Research, The Australian National University, Canberra, AUS
| | - Chloe J. Bair-Marshall
- Neuroscience Institute, NYU Langone Medical Center, New York University, New York, New York, USA
| | - Craig W. Berridge
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Esther Berrocoso
- Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, School of Medicine, Biomedical Research and Innovation Institute of Cádiz (INiBICA), University of Cadiz, Cadiz, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | | | | | - Alicia Che
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Oscar Davy
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
| | | | - Anthony M. Downs
- Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gabrielle Drummond
- Department of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Roman Dvorkin
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Zeinab Fazlali
- School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
- Department of Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Robert C. Froemke
- Neuroscience Institute, NYU Langone Medical Center, New York University, New York, New York, USA
- Department of Otolaryngology, NYU Grossman School of Medicine, New York, NY, USA
| | - Erin Glennon
- Neuroscience Institute, NYU Langone Medical Center, New York University, New York, New York, USA
- Department of Neurology, Weill Cornell Medicine, New York
| | - Joshua I. Gold
- Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
| | - Hiroki Ito
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
- Department of Urology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Xiaolong Jiang
- Department of Neuroscience, Baylor College of Medicine Neurological Research Institute at Texas Children’s Hospital, 1250, Houston, TX, USA
- Department of Ophthalmology, Baylor College of Medicine Neurological Research Institute at Texas Children’s Hospital, 1250, Houston, TX, USA
| | | | - Alfred P. Kaye
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
- Clinical Neurosciences Division, VA National Center for PTSD, West Haven, CT, USA
| | - Jenny R. Kim
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Chao-Cheng Kuo
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
- Department of Life Science, College of Life Science, National Taiwan University, Taipei, Taiwan
| | - Rong-Jian Liu
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yang Liu
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Meritxell Llorca-Torralba
- Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, School of Medicine, Biomedical Research and Innovation Institute of Cádiz (INiBICA), University of Cadiz, Cadiz, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Jordan G. McCall
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Zoe A. McElligott
- Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew M. McKinney
- Department of Neuroscience, Baylor College of Medicine Neurological Research Institute at Texas Children’s Hospital, 1250, Houston, TX, USA
| | - Cristina Miguelez
- Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Ming-Yuan Min
- Department of Life Science, College of Life Science, National Taiwan University, Taipei, Taiwan
| | - Alexandra C. Nowlan
- Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mohsen Omrani
- Department of Psychiatry, Queen’s University, Kingston, ON, Canada
| | - Gina R. Poe
- Integrative Biology and Physiology, UCLA, Los Angeles, CA, USA
| | - Anthony Edward Pickering
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
| | - Yadollah Ranjbar-Slamloo
- School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Jone Razquin
- Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Charles Rodenkirch
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Anna C. Sales
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, United Kingdom
| | - Rath Satyasambit
- RIKEN Center for Brain Science, Wako-shi Saitama, Japan
- Department of Computer Science, Tokyo Institute of Technology, Midori, Yokohama, Japan
| | | | - Mriganka Sur
- Department of Brain and Cognitive Sciences, Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Sonia Torres-Sanchez
- Neuropsychopharmacology and Psychobiology Research Group, Department of Neuroscience, School of Medicine, Biomedical Research and Innovation Institute of Cádiz (INiBICA), University of Cadiz, Cadiz, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Akira Uematsu
- Human Informatics and Information Research Institute, National Institute of Advanced Industrial Science and Technology, Japan
| | - Chayla R. Vazquez
- Department of Anesthesiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Amelien Vreven
- Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
- Neuroscience Center, University of Helsinki, Helsinki, Finland
- Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Qi Wang
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | | | - Hsiu-Wen Yang
- Department of Biomedical Sciences, Chung-Shan Medical University, Taichung, Taiwan
| | - Jen-Hau Yang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Doctoral Program of Clinical and Experimental Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Liping Zhao
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA USA
| | - Ioannis S. Zouridis
- Graduate Training Centre of Neuroscience, International Max Planck Research School (IMPRS), University of Tübingen, Tübingen, Germany
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | | | - Elena Vazey
- Department of Biology, University of Massachusetts Amherst, Amherst, MA, USA
- Neuroscience and Behavior Program, University of Massachusetts Amherst, Amherst, MA, USA
| | - Nelson K. Totah
- Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
- Neuroscience Center, University of Helsinki, Helsinki, Finland
- Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
- Department of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
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25
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Sulaman BA, Zhang Y, Matosevich N, Kjærby C, Foustoukos G, Andersen M, Eban-Rothschild A. Emerging Functions of Neuromodulation during Sleep. J Neurosci 2024; 44:e1277242024. [PMID: 39358018 PMCID: PMC11450531 DOI: 10.1523/jneurosci.1277-24.2024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 07/24/2024] [Accepted: 07/27/2024] [Indexed: 10/04/2024] Open
Abstract
Neuromodulators act on multiple timescales to affect neuronal activity and behavior. They function as synaptic fine-tuners and master coordinators of neuronal activity across distant brain regions and body organs. While much research on neuromodulation has focused on roles in promoting features of wakefulness and transitions between sleep and wake states, the precise dynamics and functions of neuromodulatory signaling during sleep have received less attention. This review discusses research presented at our minisymposium at the 2024 Society for Neuroscience meeting, highlighting how norepinephrine, dopamine, and acetylcholine orchestrate brain oscillatory activity, control sleep architecture and microarchitecture, regulate responsiveness to sensory stimuli, and facilitate memory consolidation. The potential of each neuromodulator to influence neuronal activity is shaped by the state of the synaptic milieu, which in turn is influenced by the organismal or systemic state. Investigating the effects of neuromodulator release across different sleep substates and synaptic environments offers unique opportunities to deepen our understanding of neuromodulation and explore the distinct computational opportunities that arise during sleep. Moreover, since alterations in neuromodulatory signaling and sleep are implicated in various neuropsychiatric disorders and because existing pharmacological treatments affect neuromodulatory signaling, gaining a deeper understanding of the less-studied aspects of neuromodulators during sleep is of high importance.
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Affiliation(s)
- Bibi Alika Sulaman
- Department of Psychology, University of Michigan, Ann Arbor, Michigan 48109
| | - Yiyao Zhang
- Neuroscience Institute, New York University, New York, New York 10016
| | - Noa Matosevich
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo 69978, Israel
| | - Celia Kjærby
- Center for Translational Neuromedicine, University of Copenhagen, Copenhagen 2200, Denmark
| | - Georgios Foustoukos
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne 1005, Switzerland
| | - Mie Andersen
- Center for Translational Neuromedicine, University of Copenhagen, Copenhagen 2200, Denmark
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26
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Abdelaal MS, Kato T, Natsubori A, Tanaka KF. Temporal and Potential Predictive Relationships between Sleep Spindle Density and Spike-and-Wave Discharges. eNeuro 2024; 11:ENEURO.0058-24.2024. [PMID: 39256042 PMCID: PMC11412100 DOI: 10.1523/eneuro.0058-24.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 08/27/2024] [Accepted: 08/29/2024] [Indexed: 09/12/2024] Open
Abstract
Spike-and-wave discharges (SWDs) and sleep spindles are characteristic electroencephalographic (EEG) hallmarks of absence seizures and nonrapid eye movement sleep, respectively. They are commonly generated by the cortico-thalamo-cortical network including the thalamic reticular nucleus (TRN). It has been reported that SWD development is accompanied by a decrease in sleep spindle density in absence seizure patients and animal models. However, whether the decrease in sleep spindle density precedes, coincides with, or follows, the SWD development remains unknown. To clarify this, we exploited Pvalb-tetracycline transactivator (tTA)::tetO-ArchT (PV-ArchT) double-transgenic mouse, which can induce an absence seizure phenotype in a time-controllable manner by expressing ArchT in PV neurons of the TRN. In these mice, EEG recordings demonstrated that a decrease in sleep spindle density occurred 1 week before the onset of typical SWDs, with the expression of ArchT. To confirm such temporal relationship observed in these genetic model mice, we used a gamma-butyrolactone (GBL) pharmacological model of SWDs. Prior to GBL administration, we administered caffeine to wild-type mice for 3 consecutive days to induce a decrease in sleep spindle density. We then administered low-dose GBL, which cannot induce SWDs in normally conditioned mice but led to the occurrence of SWDs in caffeine-conditioned mice. These findings indicate a temporal relationship in which the decrease in sleep spindle density consistently precedes SWD development. Furthermore, the decrease in sleep spindle activity may have a role in facilitating the development of SWDs. Our findings suggest that sleep spindle reductions could serve as early indicators of seizure susceptibility.
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Affiliation(s)
- Manal S Abdelaal
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Tomonobu Kato
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
- Department of System Design Engineering, Faculty of Science and Technology, Keio University, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan
| | - Akiyo Natsubori
- Sleep Disorders Project, Tokyo Metropolitan Institute of Medical Science, Setagaya-Ku, Tokyo 156-8506, Japan
| | - Kenji F Tanaka
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
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27
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Huo C, Lombardi F, Blanco-Centurion C, Shiromani PJ, Ivanov PC. Role of the Locus Coeruleus Arousal Promoting Neurons in Maintaining Brain Criticality across the Sleep-Wake Cycle. J Neurosci 2024; 44:e1939232024. [PMID: 38951035 PMCID: PMC11358608 DOI: 10.1523/jneurosci.1939-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 06/17/2024] [Accepted: 06/20/2024] [Indexed: 07/03/2024] Open
Abstract
Sleep control depends on a delicate interplay among brain regions. This generates a complex temporal architecture with numerous sleep-stage transitions and intermittent fluctuations to micro-states and brief arousals. These temporal dynamics exhibit hallmarks of criticality, suggesting that tuning to criticality is essential for spontaneous sleep-stage and arousal transitions. However, how the brain maintains criticality remains not understood. Here, we investigate θ- and δ-burst dynamics during the sleep-wake cycle of rats (Sprague-Dawley, adult male) with lesion in the wake-promoting locus coeruleus (LC). We show that, in control rats, θ- and δ-bursts exhibit power-law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, as well as power-law long-range temporal correlations (LRTCs)-typical of non-equilibrium systems self-organizing at criticality. Furthermore, consecutive θ- and δ-bursts durations are characterized by anti-correlated coupling, indicating a new class of self-organized criticality that emerges from underlying feedback between neuronal populations and brain areas involved in generating arousals and sleep states. In contrast, we uncover that LC lesion leads to alteration of θ- and δ-burst critical features, with change in duration distributions and correlation properties, and increase in θ-δ coupling. Notably, these LC-lesion effects are opposite to those observed for lesions in the sleep-promoting ventrolateral preoptic (VLPO) nucleus. Our findings indicate that critical dynamics of θ- and δ-bursts arise from a balanced interplay of LC and VLPO, which maintains brain tuning to criticality across the sleep-wake cycle-a non-equilibrium behavior in sleep micro-architecture at short timescales that coexists with large-scale sleep-wake homeostasis.
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Affiliation(s)
- Chengyu Huo
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, Massachusetts 02215
- School of Electronic Information Engineering, Changshu Institute of Technology, Changshu, Jiangsu 215500, China
| | - Fabrizio Lombardi
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, Massachusetts 02215
- Department of Biomedical Sciences, University of Padova, Padova 35131, Italy
| | - Carlos Blanco-Centurion
- Departments of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina 29425
| | - Priyattam J Shiromani
- Departments of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina 29425
- Ralph H. Johnson Veterans Healthcare System Charleston, Charleston, South Carolina 29401
| | - Plamen Ch Ivanov
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, Massachusetts 02215
- Harvard Medical School and Division of Sleep Medicine, Brigham and Women Hospital, Boston, Massachusetts 02115
- Institute of Solid State Physics, Bulgarian Academy of Sciences, Sofia 1784, Bulgaria
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28
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España JC, Yasoda-Mohan A, Vanneste S. The Locus Coeruleus in Chronic Pain. Int J Mol Sci 2024; 25:8636. [PMID: 39201323 PMCID: PMC11354431 DOI: 10.3390/ijms25168636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 07/30/2024] [Accepted: 08/01/2024] [Indexed: 09/02/2024] Open
Abstract
Pain perception is the consequence of a complex interplay between activation and inhibition. Noradrenergic pain modulation inhibits nociceptive transmission and pain perception. The main source of norepinephrine (NE) in the central nervous system is the Locus Coeruleus (LC), a small but complex cluster of cells in the pons. The aim of this study is to review the literature on the LC-NE inhibitory system, its influence on chronic pain pathways and its frequent comorbidities. The literature research showed that pain perception is the consequence of nociceptive and environmental processing and is modulated by the LC-NE system. If perpetuated in time, nociceptive inputs can generate neuroplastic changes in the central nervous system that reduce the inhibitory effects of the LC-NE complex and facilitate the development of chronic pain and frequent comorbidities, such as anxiety, depression or sleeping disturbances. The exact mechanisms involved in the LC functional shift remain unknown, but there is some evidence that they occur through plastic changes in the medial and lateral pathways and their brain projections. Additionally, there are other influencing factors, like developmental issues, neuroinflammatory glial changes, NE receptor affinity and changes in LC neuronal firing rates.
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Affiliation(s)
- Jorge Castejón España
- Lab for Clinical and Integrative Neuroscience, Trinity College Institute for Neuroscience, School of Psychology, Trinity College Dublin, D02 PN40 Dublin, Ireland; (J.C.E.); (A.Y.-M.)
- Compass Physio, A83 YW96 Enfield, Ireland
| | - Anusha Yasoda-Mohan
- Lab for Clinical and Integrative Neuroscience, Trinity College Institute for Neuroscience, School of Psychology, Trinity College Dublin, D02 PN40 Dublin, Ireland; (J.C.E.); (A.Y.-M.)
- Global Brain Health Institute, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Sven Vanneste
- Lab for Clinical and Integrative Neuroscience, Trinity College Institute for Neuroscience, School of Psychology, Trinity College Dublin, D02 PN40 Dublin, Ireland; (J.C.E.); (A.Y.-M.)
- Global Brain Health Institute, Trinity College Dublin, D02 PN40 Dublin, Ireland
- Brain Research Centre for Advanced, International, Innovative and Interdisciplinary Neuromodulation, 9000 Ghent, Belgium
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Cusinato R, Gross S, Bainier M, Janz P, Schoenenberger P, Redondo RL. Workflow for the unsupervised clustering of sleep stages identifies light and deep sleep in electrophysiological recordings in mice. J Neurosci Methods 2024; 408:110155. [PMID: 38710233 DOI: 10.1016/j.jneumeth.2024.110155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/12/2024] [Accepted: 04/27/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Sleep physiology plays a critical role in brain development and aging. Accurate sleep staging, which categorizes different sleep states, is fundamental for sleep physiology studies. Traditional methods for sleep staging rely on manual, rule-based scoring techniques, which limit their accuracy and adaptability. NEW METHOD We describe, test and challenge a workflow for unsupervised clustering of sleep states (WUCSS) in rodents, which uses accelerometer and electrophysiological data to classify different sleep states. WUCSS utilizes unsupervised clustering to identify sleep states using six features, extracted from 4-second epochs. RESULTS We gathered high-quality EEG recordings combined with accelerometer data in diverse transgenic mouse lines (male ApoE3 versus ApoE4 knockin; male CNTNAP2 KO versus wildtype littermates). WUCSS showed high recall, precision, and F1-score against manual scoring on awake, NREM, and REM sleep states. Within NREM, WUCSS consistently identified two additional clusters that qualify as deep and light sleep states. COMPARISON WITH EXISTING METHODS The ability of WUCSS to discriminate between deep and light sleep enhanced the precision and comprehensiveness of the current mouse sleep physiology studies. This differentiation led to the discovery of an additional sleep phenotype, notably in CNTNAP2 KO mice, showcasing the method's superiority over traditional scoring methods. CONCLUSIONS WUCSS, with its unsupervised approach and classification of deep and light sleep states, provides an unbiased opportunity for researchers to enhance their understanding of sleep physiology. Its high accuracy, adaptability, and ability to save time and resources make it a valuable tool for improving sleep staging in both clinical and preclinical research.
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Affiliation(s)
- Riccardo Cusinato
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Basel 4070, Switzerland
| | - Simon Gross
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Basel 4070, Switzerland.
| | - Marie Bainier
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Basel 4070, Switzerland
| | - Philipp Janz
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Basel 4070, Switzerland
| | - Philipp Schoenenberger
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Basel 4070, Switzerland
| | - Roger L Redondo
- Roche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Basel 4070, Switzerland
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Mueller C, Nenert R, Catiul C, Pilkington J, Szaflarski JP, Amara AW. Brain metabolites are associated with sleep architecture and cognitive functioning in older adults. Brain Commun 2024; 6:fcae245. [PMID: 39104903 PMCID: PMC11300014 DOI: 10.1093/braincomms/fcae245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 05/09/2024] [Accepted: 07/17/2024] [Indexed: 08/07/2024] Open
Abstract
Sleep deficits are a possible risk factor for development of cognitive decline and dementia in older age. Research suggests that neuroinflammation may be a link between the two. This observational, cross-sectional study evaluated relationships between sleep architecture, neuroinflammation and cognitive functioning in healthy older adults. Twenty-two adults aged ≥60 years underwent whole-brain magnetic resonance spectroscopic imaging (in vivo method of visualizing increased brain temperatures as a proxy for neuroinflammation), supervised laboratory-based polysomnography, and comprehensive neurocognitive testing. Multiple regressions were used to assess relationships between magnetic resonance spectroscopic imaging-derived brain temperature and metabolites related to inflammation (choline; myo-inositol; N-acetylaspartate), sleep efficiency, time and % N3 sleep and cognitive performance. Choline, myo-inositol and N-acetylaspartate were associated with sleep efficiency and cognitive performance. Higher choline and myo-inositol in the bilateral frontal lobes were associated with slower processing speed and lower sleep efficiency. Higher choline and myo-inositol in bilateral frontoparietal regions were associated with better cognitive performance. Higher N-acetylaspartate around the temporoparietal junction and adjacent white matter was associated with better visuospatial function. Brain temperature was not related to cognitive or sleep outcomes. Our findings are consistent with the limited literature regarding neuroinflammation and its relationships with sleep and cognition in older age, which has implicated ageing microglia and astrocytes in circadian dysregulation, impaired glymphatic clearance and increased blood-brain barrier integrity, with downstream effects of neurodegeneration and cognitive decline. Inflammatory processes remain difficult to measure in the clinical setting, but magnetic resonance spectroscopic imaging may serve as a marker of the relationship between neuroinflammation, sleep and cognitive decline in older adults.
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Affiliation(s)
- Christina Mueller
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Rodolphe Nenert
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Corina Catiul
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Jennifer Pilkington
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Jerzy P Szaflarski
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Amy W Amara
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
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Sima J, Zhang Y, Farriday D, Ahn AYE, Lopez ER, Jin C, Harrell J, Darmohray D, Silverman D, Dan Y. Restoration of locus coeruleus noradrenergic transmission during sleep. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.03.601820. [PMID: 39005471 PMCID: PMC11244971 DOI: 10.1101/2024.07.03.601820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Sleep is indispensable for health and wellbeing, but its basic function remains elusive. The locus coeruleus (LC) powerfully promotes arousal by releasing noradrenaline. We found that noradrenaline transmission is reduced by prolonged wakefulness and restored during sleep. Fiber-photometry imaging of noradrenaline using its biosensor showed that its release evoked by optogenetic LC neuron activation was strongly attenuated by three hours of sleep deprivation and restored during subsequent sleep. This is accompanied by the reduction and recovery of the wake-promoting effect of the LC neurons. The reduction of both LC evoked noradrenaline release and wake-inducing potency is activity dependent, and the rate of noradrenaline transmission recovery depends on mammalian target of rapamycin (mTOR) signaling. The decline and recovery of noradrenaline transmission also occur in spontaneous sleep-wake cycles on a timescale of minutes. Together, these results reveal an essential role of sleep in restoring transmission of a key arousal-promoting neuromodulator.
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Affiliation(s)
- Jiao Sima
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Yuchen Zhang
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Declan Farriday
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Andy Young-Eon Ahn
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Eduardo Ramirez Lopez
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Chennan Jin
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Jade Harrell
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Dana Darmohray
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Daniel Silverman
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
| | - Yang Dan
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA
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32
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Lahlou S, Kaminska M, Doyon J, Carrier J, Sharp M. Sleep spindle density and temporal clustering are associated with sleep-dependent memory consolidation in Parkinson's disease. J Clin Sleep Med 2024; 20:1153-1162. [PMID: 38427318 PMCID: PMC11217638 DOI: 10.5664/jcsm.11080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
STUDY OBJECTIVES Sleep is required for successful memory consolidation. Sleep spindles, bursts of oscillatory activity occurring during non-rapid eye movement sleep, are known to be crucial for this process and, recently, it has been proposed that the temporal organization of spindles into clusters might additionally play a role in memory consolidation. In Parkinson's disease, spindle activity is reduced, and this reduction has been found to be predictive of cognitive decline. However, it remains unknown whether alterations in sleep spindles in Parkinson's disease are predictive of sleep-dependent cognitive processes such as memory consolidation, leaving open questions about the possible mechanisms linking sleep and a more general cognitive state in Parkinson's patients. METHODS The current study sought to fill this gap by recording overnight polysomnography and measuring overnight declarative memory consolidation in a sample of 35 patients with Parkinson's. Memory consolidation was measured using a verbal paired-associates task administered before and after the night of recorded sleep. RESULTS We found that lower sleep spindle density at frontal leads during non-rapid eye movement stage 3 was associated with worse overnight declarative memory consolidation. We also found that patients who showed less temporal clustering of spindles exhibited worse declarative memory consolidation. CONCLUSIONS These results suggest alterations to sleep spindles, which are known to be a consequence of Parkinson's disease, might represent a mechanism by which poor sleep leads to worse cognitive function in Parkinson's patients. CITATION Lahlou S, Kaminska M, Doyon J, Carrier J, Sharp M. Sleep spindle density and temporal clustering are associated with sleep-dependent memory consolidation in Parkinson's disease. J Clin Sleep Med. 2024;20(7):1153-1162.
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Affiliation(s)
- Soraya Lahlou
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Marta Kaminska
- Department of Medicine, McGill University, Montreal, Canada
| | - Julien Doyon
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Julie Carrier
- Department of Psychology, Université de Montréal, Montreal, Canada
| | - Madeleine Sharp
- Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada
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Mao R, Cavelli ML, Findlay G, Driessen K, Peterson MJ, Marshall W, Tononi G, Cirelli C. Behavioral and cortical arousal from sleep, muscimol-induced coma, and anesthesia by direct optogenetic stimulation of cortical neurons. iScience 2024; 27:109919. [PMID: 38812551 PMCID: PMC11134913 DOI: 10.1016/j.isci.2024.109919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 11/28/2023] [Accepted: 05/03/2024] [Indexed: 05/31/2024] Open
Abstract
The cerebral cortex is widely considered part of the neural substrate of consciousness, but direct causal evidence is missing. Here, we tested in mice whether optogenetic activation of cortical neurons in posterior parietal cortex (PtA) or medial prefrontal cortex (mPFC) is sufficient for arousal from three behavioral states characterized by progressively deeper unresponsiveness: sleep, a coma-like state induced by muscimol injection in the midbrain, and deep sevoflurane-dexmedetomidine anesthesia. We find that cortical stimulation always awakens the mice from both NREM sleep and REM sleep, with PtA requiring weaker/shorter light pulses than mPFC. Moreover, in most cases light pulses produce both cortical activation (decrease in low frequencies) and behavioral arousal (recovery of the righting reflex) from brainstem coma, as well as cortical activation from anesthesia. These findings provide evidence that direct activation of cortical neurons is sufficient for behavioral and/or cortical arousal from sleep, brainstem coma, and anesthesia.
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Affiliation(s)
- Rong Mao
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - Matias Lorenzo Cavelli
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Departamento de Fisiología de Facultad de Medicina, Universidad de la República, Montevideo 11800, Uruguay
| | - Graham Findlay
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - Kort Driessen
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - Michael J. Peterson
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - William Marshall
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
- Department of Mathematics and Statistics, Brock University, St. Catharines, ON L2S 3A1, Canada
| | - Giulio Tononi
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
| | - Chiara Cirelli
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53719, USA
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Feng J, Dong H, Lischinsky JE, Zhou J, Deng F, Zhuang C, Miao X, Wang H, Li G, Cai R, Xie H, Cui G, Lin D, Li Y. Monitoring norepinephrine release in vivo using next-generation GRAB NE sensors. Neuron 2024; 112:1930-1942.e6. [PMID: 38547869 PMCID: PMC11364517 DOI: 10.1016/j.neuron.2024.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 01/21/2024] [Accepted: 03/01/2024] [Indexed: 06/22/2024]
Abstract
Norepinephrine (NE) is an essential biogenic monoamine neurotransmitter. The first-generation NE sensor makes in vivo, real-time, cell-type-specific and region-specific NE detection possible, but its low NE sensitivity limits its utility. Here, we developed the second-generation GPCR-activation-based NE sensors (GRABNE2m and GRABNE2h) with a superior response and high sensitivity and selectivity to NE both in vitro and in vivo. Notably, these sensors can detect NE release triggered by either optogenetic or behavioral stimuli in freely moving mice, producing robust signals in the locus coeruleus and hypothalamus. With the development of a novel transgenic mouse line, we recorded both NE release and calcium dynamics with dual-color fiber photometry throughout the sleep-wake cycle; moreover, dual-color mesoscopic imaging revealed cell-type-specific spatiotemporal dynamics of NE and calcium during sensory processing and locomotion. Thus, these new GRABNE sensors are valuable tools for monitoring the precise spatiotemporal release of NE in vivo, providing new insights into the physiological and pathophysiological roles of NE.
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Affiliation(s)
- Jiesi Feng
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, New Cornerstone Science Laboratory, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
| | - Hui Dong
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, New Cornerstone Science Laboratory, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Julieta E Lischinsky
- Neuroscience Institute, New York University School of Medicine, New York, NY 10016, USA
| | - Jingheng Zhou
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Fei Deng
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
| | - Chaowei Zhuang
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Xiaolei Miao
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China; Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, 100020 Beijing, China
| | - Huan Wang
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China
| | - Guochuan Li
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
| | - Ruyi Cai
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China
| | - Hao Xie
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Guohong Cui
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Dayu Lin
- Neuroscience Institute, New York University School of Medicine, New York, NY 10016, USA
| | - Yulong Li
- State Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing 100871, China; PKU-IDG/McGovern Institute for Brain Research, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, New Cornerstone Science Laboratory, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Chinese Institute for Brain Research, Beijing 102206, China; Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, Guangdong 518055, China; National Biomedical Imaging Center, Peking University, Beijing 100871, China.
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35
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Zhang Y, Karadas M, Liu J, Gu X, Vöröslakos M, Li Y, Tsien RW, Buzsáki G. Interaction of acetylcholine and oxytocin neuromodulation in the hippocampus. Neuron 2024; 112:1862-1875.e5. [PMID: 38537642 PMCID: PMC11156550 DOI: 10.1016/j.neuron.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/17/2024] [Accepted: 02/29/2024] [Indexed: 06/09/2024]
Abstract
A postulated role of subcortical neuromodulators is to control brain states. Mechanisms by which different neuromodulators compete or cooperate at various temporal scales remain an open question. We investigated the interaction of acetylcholine (ACh) and oxytocin (OXT) at slow and fast timescales during various brain states. Although these neuromodulators fluctuated in parallel during NREM packets, transitions from NREM to REM were characterized by a surge of ACh but a continued decrease of OXT. OXT signaling lagged behind ACh. High ACh was correlated with population synchrony and gamma oscillations during active waking, whereas minimum ACh predicts sharp-wave ripples (SPW-Rs). Optogenetic control of ACh and OXT neurons confirmed the active role of these neuromodulators in the observed correlations. Synchronous hippocampal activity consistently reduced OXT activity, whereas inactivation of the lateral septum-hypothalamus path attenuated this effect. Our findings demonstrate how cooperative actions of these neuromodulators allow target circuits to perform specific functions.
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Affiliation(s)
| | | | | | - Xinyi Gu
- Neuroscience Institute, New York, NY, USA
| | | | - Yulong Li
- School of Life Science, Peking University, Beijing, China
| | - Richard W Tsien
- Neuroscience Institute, New York, NY, USA; Department of Neurology, Langone Medical Center, New York University, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA
| | - György Buzsáki
- Neuroscience Institute, New York, NY, USA; Department of Neurology, Langone Medical Center, New York University, New York, NY 10016, USA; Center for Neural Science, New York University, New York, NY 10003, USA.
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36
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Choi A, Smith J, Wang Y, Shin H, Kim B, Wiest A, Jin X, An I, Hong J, Antila H, Thomas S, Bhattarai JP, Beier K, Ma M, Weber F, Chung S. Circuit mechanism underlying fragmented sleep and memory deficits in 16p11.2 deletion mouse model of autism. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.26.573156. [PMID: 38234815 PMCID: PMC10793436 DOI: 10.1101/2023.12.26.573156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Sleep disturbances are prevalent in children with autism spectrum disorder (ASD) and have a major impact on the quality of life. Strikingly, sleep problems are positively correlated with the severity of ASD symptoms, such as memory impairment. However, the neural mechanisms underlying sleep disturbances and cognitive deficits in ASD are largely unexplored. Here, we show that non-rapid eye movement sleep (NREMs) is highly fragmented in the 16p11.2 deletion mouse model of ASD. The degree of sleep fragmentation is reflected in an increased number of calcium transients in the activity of locus coeruleus noradrenergic (LC-NE) neurons during NREMs. Exposure to a novel environment further exacerbates sleep disturbances in 16p11.2 deletion mice by fragmenting NREMs and decreasing rapid eye movement sleep (REMs). In contrast, optogenetic inhibition of LC-NE neurons and pharmacological blockade of noradrenergic transmission using clonidine reverse sleep fragmentation. Furthermore, inhibiting LC-NE neurons restores memory. Rabies-mediated unbiased screening of presynaptic neurons reveals altered connectivity of LC-NE neurons with sleep- and memory regulatory brain regions in 16p11.2 deletion mice. Our findings demonstrate that heightened activity of LC-NE neurons and altered brain-wide connectivity underlies sleep fragmentation in 16p11.2 deletion mice and identify a crucial role of the LC-NE system in regulating sleep stability and memory in ASD.
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Affiliation(s)
- Ashley Choi
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jennifer Smith
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yingqi Wang
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hyunsoo Shin
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bowon Kim
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alyssa Wiest
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Xi Jin
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Isabella An
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jiso Hong
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hanna Antila
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Steven Thomas
- Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Janardhan P. Bhattarai
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kevin Beier
- Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Minghong Ma
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Franz Weber
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shinjae Chung
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Cataldi J, Stephan AM, Haba-Rubio J, Siclari F. Shared EEG correlates between non-REM parasomnia experiences and dreams. Nat Commun 2024; 15:3906. [PMID: 38724511 PMCID: PMC11082195 DOI: 10.1038/s41467-024-48337-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 04/26/2024] [Indexed: 05/12/2024] Open
Abstract
Sleepwalking and related parasomnias result from incomplete awakenings out of non-rapid eye movement sleep. Behavioral episodes can occur without consciousness or recollection, or in relation to dream-like experiences. To understand what accounts for these differences in consciousness and recall, here we recorded parasomnia episodes with high-density electroencephalography (EEG) and interviewed participants immediately afterward about their experiences. Compared to reports of no experience (19%), reports of conscious experience (56%) were preceded by high-amplitude EEG slow waves in anterior cortical regions and activation of posterior cortical regions, similar to previously described EEG correlates of dreaming. Recall of the content of the experience (56%), compared to no recall (25%), was associated with higher EEG activation in the right medial temporal region before movement onset. Our work suggests that the EEG correlates of parasomnia experiences are similar to those reported for dreams and may thus reflect core physiological processes involved in sleep consciousness.
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Affiliation(s)
- Jacinthe Cataldi
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
- The Sense Innovation and Research Center, Lausanne and Sion, Lausanne, Switzerland
| | - Aurélie M Stephan
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
- The Sense Innovation and Research Center, Lausanne and Sion, Lausanne, Switzerland
- The Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - José Haba-Rubio
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland
| | - Francesca Siclari
- Center for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland.
- The Sense Innovation and Research Center, Lausanne and Sion, Lausanne, Switzerland.
- The Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.
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38
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Crombie D, Spacek MA, Leibold C, Busse L. Spiking activity in the visual thalamus is coupled to pupil dynamics across temporal scales. PLoS Biol 2024; 22:e3002614. [PMID: 38743775 PMCID: PMC11093384 DOI: 10.1371/journal.pbio.3002614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 04/05/2024] [Indexed: 05/16/2024] Open
Abstract
The processing of sensory information, even at early stages, is influenced by the internal state of the animal. Internal states, such as arousal, are often characterized by relating neural activity to a single "level" of arousal, defined by a behavioral indicator such as pupil size. In this study, we expand the understanding of arousal-related modulations in sensory systems by uncovering multiple timescales of pupil dynamics and their relationship to neural activity. Specifically, we observed a robust coupling between spiking activity in the mouse dorsolateral geniculate nucleus (dLGN) of the thalamus and pupil dynamics across timescales spanning a few seconds to several minutes. Throughout all these timescales, 2 distinct spiking modes-individual tonic spikes and tightly clustered bursts of spikes-preferred opposite phases of pupil dynamics. This multi-scale coupling reveals modulations distinct from those captured by pupil size per se, locomotion, and eye movements. Furthermore, coupling persisted even during viewing of a naturalistic movie, where it contributed to differences in the encoding of visual information. We conclude that dLGN spiking activity is under the simultaneous influence of multiple arousal-related processes associated with pupil dynamics occurring over a broad range of timescales.
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Affiliation(s)
- Davide Crombie
- Division of Neuroscience, Faculty of Biology, LMU Munich, Munich, Germany
- Graduate School of Systemic Neurosciences, LMU Munich, Munich, Germany
| | - Martin A. Spacek
- Division of Neuroscience, Faculty of Biology, LMU Munich, Munich, Germany
| | - Christian Leibold
- Division of Neuroscience, Faculty of Biology, LMU Munich, Munich, Germany
- Fakultät für Biologie & Bernstein Center Freiburg, Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau, Germany
| | - Laura Busse
- Division of Neuroscience, Faculty of Biology, LMU Munich, Munich, Germany
- Bernstein Center for Computational Neuroscience, Munich, Germany
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39
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Cabrera Y, Koymans KJ, Poe GR, Kessels HW, Van Someren EJW, Wassing R. Overnight neuronal plasticity and adaptation to emotional distress. Nat Rev Neurosci 2024; 25:253-271. [PMID: 38443627 DOI: 10.1038/s41583-024-00799-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2024] [Indexed: 03/07/2024]
Abstract
Expressions such as 'sleep on it' refer to the resolution of distressing experiences across a night of sound sleep. Sleep is an active state during which the brain reorganizes the synaptic connections that form memories. This Perspective proposes a model of how sleep modifies emotional memory traces. Sleep-dependent reorganization occurs through neurophysiological events in neurochemical contexts that determine the fates of synapses to grow, to survive or to be pruned. We discuss how low levels of acetylcholine during non-rapid eye movement sleep and low levels of noradrenaline during rapid eye movement sleep provide a unique window of opportunity for plasticity in neuronal representations of emotional memories that resolves the associated distress. We integrate sleep-facilitated adaptation over three levels: experience and behaviour, neuronal circuits, and synaptic events. The model generates testable hypotheses for how failed sleep-dependent adaptation to emotional distress is key to mental disorders, notably disorders of anxiety, depression and post-traumatic stress with the common aetiology of insomnia.
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Affiliation(s)
- Yesenia Cabrera
- Department of Integrative Biology and Physiology, Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Karin J Koymans
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Gina R Poe
- Department of Integrative Biology and Physiology, Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Helmut W Kessels
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
- Department of Synaptic Plasticity and Behaviour, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Society for Arts and Sciences, Amsterdam, Netherlands
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, An Institute of the Royal Netherlands Society for Arts and Sciences, Amsterdam, Netherlands
- Department of Integrative Neurophysiology and Psychiatry, VU University, Amsterdam UMC, Amsterdam, Netherlands
- Center for Neurogenomics and Cognitive Research, VU University, Amsterdam UMC, Amsterdam, Netherlands
| | - Rick Wassing
- Sleep and Circadian Research, Woolcock Institute of Medical Research, Macquarie University, Sydney, New South Wales, Australia.
- School of Psychological Sciences, Faculty of Medicine Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia.
- Sydney Local Health District, Sydney, New South Wales, Australia.
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Bandarabadi M, Prouvot Bouvier PH, Corsi G, Tafti M. The paradox of REM sleep: Seven decades of evolution. Sleep Med Rev 2024; 74:101918. [PMID: 38457935 DOI: 10.1016/j.smrv.2024.101918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/10/2024]
Affiliation(s)
- Mojtaba Bandarabadi
- Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland.
| | | | - Giorgio Corsi
- Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
| | - Mehdi Tafti
- Department of Biomedical Sciences, University of Lausanne, Lausanne, Switzerland
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Andrillon T, Taillard J, Strauss M. Sleepiness and the transition from wakefulness to sleep. Neurophysiol Clin 2024; 54:102954. [PMID: 38460284 DOI: 10.1016/j.neucli.2024.102954] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 02/02/2024] [Accepted: 02/03/2024] [Indexed: 03/11/2024] Open
Abstract
The transition from wakefulness to sleep is a progressive process that is reflected in the gradual loss of responsiveness, an alteration of cognitive functions, and a drastic shift in brain dynamics. These changes do not occur all at once. The sleep onset period (SOP) refers here to this period of transition between wakefulness and sleep. For example, although transitions of brain activity at sleep onset can occur within seconds in a given brain region, these changes occur at different time points across the brain, resulting in a SOP that can last several minutes. Likewise, the transition to sleep impacts cognitive and behavioral levels in a graded and staged fashion. It is often accompanied and preceded by a sensation of drowsiness and the subjective feeling of a need for sleep, also associated with specific physiological and behavioral signatures. To better characterize fluctuations in vigilance and the SOP, a multidimensional approach is thus warranted. Such a multidimensional approach could mitigate important limitations in the current classification of sleep, leading ultimately to better diagnoses and treatments of individuals with sleep and/or vigilance disorders. These insights could also be translated in real-life settings to either facilitate sleep onset in individuals with sleep difficulties or, on the contrary, prevent or control inappropriate sleep onsets.
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Affiliation(s)
- Thomas Andrillon
- Paris Brain Institute, Sorbonne Université, Inserm-CNRS, Paris 75013, France; Monash Centre for Consciousness & Contemplative Studies, Monash University, Melbourne, VIC 3800, Australia
| | - Jacques Taillard
- Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France
| | - Mélanie Strauss
- Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B), CUB Hôpital Érasme, Services de Neurologie, Psychiatrie et Laboratoire du sommeil, Route de Lennik 808 1070 Bruxelles, Belgium; Neuropsychology and Functional Neuroimaging Research Group (UR2NF), Center for Research in Cognition and Neurosciences (CRCN), Université Libre de Bruxelles, B-1050 Brussels, Belgium.
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Antila H, Lilius TO, Palada V, Lohela T, Bell RF, Porkka-Heiskanen T, Kalso E. Effects of commonly used analgesics on sleep architecture-A topical review. Pain 2024; 165:00006396-990000000-00539. [PMID: 38442410 PMCID: PMC11247456 DOI: 10.1097/j.pain.0000000000003201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 03/07/2024]
Affiliation(s)
- Hanna Antila
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Finland
- SleepWell Research Program Unit, Faculty of Medicine, University of Helsinki, Finland
- Individualized Drug Therapy Research Program Unit, Faculty of Medicine, University of Helsinki, Finland
| | - Tuomas O. Lilius
- Individualized Drug Therapy Research Program Unit, Faculty of Medicine, University of Helsinki, Finland
- Department of Pharmacology, Faculty of Medicine, University of Helsinki, Finland
- Department of Emergency Medicine and Services, Helsinki University Hospital and University of Helsinki, Finland
| | - Vinko Palada
- SleepWell Research Program Unit, Faculty of Medicine, University of Helsinki, Finland
- Department of Physiology, Faculty of Medicine, University of Helsinki, Finland
| | - Terhi Lohela
- Individualized Drug Therapy Research Program Unit, Faculty of Medicine, University of Helsinki, Finland
- Department of Anaesthesiology, Intensive Care and Pain Medicine, Helsinki University Hospital and University of Helsinki, Finland
| | - Rae F. Bell
- Regional Centre of Excellence in Palliative Care, Haukeland University Hospital, Bergen, Norway
| | | | - Eija Kalso
- SleepWell Research Program Unit, Faculty of Medicine, University of Helsinki, Finland
- Department of Pharmacology, Faculty of Medicine, University of Helsinki, Finland
- Department of Anaesthesiology, Intensive Care and Pain Medicine, Helsinki University Hospital and University of Helsinki, Finland
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Silverman D, Chen C, Chang S, Bui L, Zhang Y, Raghavan R, Jiang A, Darmohray D, Sima J, Ding X, Li B, Ma C, Dan Y. Activation of locus coeruleus noradrenergic neurons rapidly drives homeostatic sleep pressure. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.29.582852. [PMID: 38496507 PMCID: PMC10942400 DOI: 10.1101/2024.02.29.582852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Homeostatic sleep regulation is essential for optimizing the amount and timing of sleep, but the underlying mechanism remains unclear. Optogenetic activation of locus coeruleus noradrenergic neurons immediately increased sleep propensity following transient wakefulness. Fiber photometry showed that repeated optogenetic or sensory stimulation caused rapid declines of locus coeruleus calcium activity and noradrenaline release. This suggests that functional fatigue of noradrenergic neurons, which reduces their wake-promoting capacity, contributes to sleep pressure.
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44
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Dervinis M, Crunelli V. Sleep waves in a large-scale corticothalamic model constrained by activities intrinsic to neocortical networks and single thalamic neurons. CNS Neurosci Ther 2024; 30:e14206. [PMID: 37072918 PMCID: PMC10915987 DOI: 10.1111/cns.14206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/17/2023] [Accepted: 03/24/2023] [Indexed: 04/20/2023] Open
Abstract
AIM Many biophysical and non-biophysical models have been able to reproduce the corticothalamic activities underlying different EEG sleep rhythms but none of them included the known ability of neocortical networks and single thalamic neurons to generate some of these waves intrinsically. METHODS We built a large-scale corticothalamic model with a high fidelity in anatomical connectivity consisting of a single cortical column and first- and higher-order thalamic nuclei. The model is constrained by different neocortical excitatory and inhibitory neuronal populations eliciting slow (<1 Hz) oscillations and by thalamic neurons generating sleep waves when isolated from the neocortex. RESULTS Our model faithfully reproduces all EEG sleep waves and the transition from a desynchronized EEG to spindles, slow (<1 Hz) oscillations, and delta waves by progressively increasing neuronal membrane hyperpolarization as it occurs in the intact brain. Moreover, our model shows that slow (<1 Hz) waves most often start in a small assembly of thalamocortical neurons though they can also originate in cortical layer 5. Moreover, the input of thalamocortical neurons increases the frequency of EEG slow (<1 Hz) waves compared to those generated by isolated cortical networks. CONCLUSION Our simulations challenge current mechanistic understanding of the temporal dynamics of sleep wave generation and suggest testable predictions.
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Affiliation(s)
- Martynas Dervinis
- Neuroscience Division, School of BioscienceCardiff UniversityMuseum AvenueCardiffCF10 3AXUK
- Present address:
School of Physiology, Pharmacology and NeuroscienceBiomedical BuildingBristolBS8 1TDUK
| | - Vincenzo Crunelli
- Neuroscience Division, School of BioscienceCardiff UniversityMuseum AvenueCardiffCF10 3AXUK
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Chen S, He M, Brown RE, Eden UT, Prerau MJ. Individualized temporal patterns dominate cortical upstate and sleep depth in driving human sleep spindle timing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.22.581592. [PMID: 38464146 PMCID: PMC10925076 DOI: 10.1101/2024.02.22.581592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Sleep spindles are critical for memory consolidation and strongly linked to neurological disease and aging. Despite their significance, the relative influences of factors like sleep depth, cortical up/down states, and spindle temporal patterns on individual spindle production remain poorly understood. Moreover, spindle temporal patterns are typically ignored in favor of an average spindle rate. Here, we analyze spindle dynamics in 1008 participants from the Multi-Ethnic Study of Atherosclerosis using a point process framework. Results reveal fingerprint-like temporal patterns, characterized by a refractory period followed by a period of increased spindle activity, which are highly individualized yet consistent night-to-night. We observe increased timing variability with age and distinct gender/age differences. Strikingly, and in contrast to the prevailing notion, individualized spindle patterns are the dominant determinant of spindle timing, accounting for over 70% of the statistical deviance explained by all of the factors we assessed, surpassing the contribution of slow oscillation (SO) phase (~14%) and sleep depth (~16%). Furthermore, we show spindle/SO coupling dynamics with sleep depth are preserved across age, with a global negative shift towards the SO rising slope. These findings offer novel mechanistic insights into spindle dynamics with direct experimental implications and applications to individualized electroencephalography biomarker identification.
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Affiliation(s)
- Shuqiang Chen
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA
| | - Mingjian He
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ritchie E. Brown
- VA Boston Healthcare System and Harvard Medical School, Department of Psychiatry, West Roxbury, MA, USA
| | - Uri T. Eden
- Department of Mathematics and Statistics, Boston University, Boston, MA, USA
| | - Michael J. Prerau
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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46
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Rayan A, Agarwal A, Samanta A, Severijnen E, van der Meij J, Genzel L. Sleep scoring in rodents: Criteria, automatic approaches and outstanding issues. Eur J Neurosci 2024; 59:526-553. [PMID: 36479908 DOI: 10.1111/ejn.15884] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 11/01/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022]
Abstract
There is nothing we spend as much time on in our lives as we do sleeping, which makes it even more surprising that we currently do not know why we need to sleep. Most of the research addressing this question is performed in rodents to allow for invasive, mechanistic approaches. However, in contrast to human sleep, we currently do not have shared and agreed upon standards on sleep states in rodents. In this article, we present an overview on sleep stages in humans and rodents and a historical perspective on the development of automatic sleep scoring systems in rodents. Further, we highlight specific issues in rodent sleep that also call into question some of the standards used in human sleep research.
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Affiliation(s)
- Abdelrahman Rayan
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Anjali Agarwal
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Anumita Samanta
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Eva Severijnen
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Jacqueline van der Meij
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Lisa Genzel
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, The Netherlands
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47
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Ungurean G, Rattenborg NC. A mammal and bird's-eye-view of the pupil during sleep and wakefulness. Eur J Neurosci 2024; 59:584-594. [PMID: 37038095 DOI: 10.1111/ejn.15983] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/03/2023] [Accepted: 03/30/2023] [Indexed: 04/12/2023]
Abstract
Besides regulating the amount of light that reaches the retina, fluctuations in pupil size also occur in isoluminant conditions during accommodation, during movement and in relation to cognitive workload, attention and emotion. Recent studies in mammals and birds revealed that the pupils are also highly dynamic in the dark during sleep. However, despite exhibiting similar sleep states (rapid eye movement [REM] and non-REM [NREM] sleep), wake and sleep state-dependent changes in pupil size are opposite between mammals and birds, due in part to differences in the type (striated vs. smooth) and control of the iris muscles. Given the link between pupil dynamics and cognitive processes occurring during wakefulness, sleep-related changes in pupil size might indicate when related processes are occurring during sleep. Moreover, the divergent pupillary behaviour observed between mammals and birds raises the possibility that changes in pupil size in birds are a readout of processes not reflected in the mammalian pupil.
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Affiliation(s)
- Gianina Ungurean
- Max Planck Institute for Biological Intelligence, Seewiesen, Germany
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48
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Ma C, Li B, Silverman D, Ding X, Li A, Xiao C, Huang G, Worden K, Muroy S, Chen W, Xu Z, Tso CF, Huang Y, Zhang Y, Luo Q, Saijo K, Dan Y. Microglia regulate sleep through calcium-dependent modulation of norepinephrine transmission. Nat Neurosci 2024; 27:249-258. [PMID: 38238430 PMCID: PMC10849959 DOI: 10.1038/s41593-023-01548-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 12/08/2023] [Indexed: 02/09/2024]
Abstract
Sleep interacts reciprocally with immune system activity, but its specific relationship with microglia-the resident immune cells in the brain-remains poorly understood. Here, we show in mice that microglia can regulate sleep through a mechanism involving Gi-coupled GPCRs, intracellular Ca2+ signaling and suppression of norepinephrine transmission. Chemogenetic activation of microglia Gi signaling strongly promoted sleep, whereas pharmacological blockade of Gi-coupled P2Y12 receptors decreased sleep. Two-photon imaging in the cortex showed that P2Y12-Gi activation elevated microglia intracellular Ca2+, and blockade of this Ca2+ elevation largely abolished the Gi-induced sleep increase. Microglia Ca2+ level also increased at natural wake-to-sleep transitions, caused partly by reduced norepinephrine levels. Furthermore, imaging of norepinephrine with its biosensor in the cortex showed that microglia P2Y12-Gi activation significantly reduced norepinephrine levels, partly by increasing the adenosine concentration. These findings indicate that microglia can regulate sleep through reciprocal interactions with norepinephrine transmission.
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Affiliation(s)
- Chenyan Ma
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Bing Li
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Daniel Silverman
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Xinlu Ding
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Anan Li
- Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainmatics, JITRI, Suzhou, China
| | - Chi Xiao
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Ganghua Huang
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Kurtresha Worden
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Sandra Muroy
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Wei Chen
- Department of Physics, University of California, Berkeley, Berkeley, CA, USA
| | - Zhengchao Xu
- Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
| | - Chak Foon Tso
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
- , Sunnyvale, CA, USA
| | - Yixuan Huang
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Yufan Zhang
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Qingming Luo
- Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainmatics, JITRI, Suzhou, China
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Kaoru Saijo
- Division of Immunology and Pathogenesis, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Yang Dan
- Division of Neurobiology, Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA.
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Orlando IF, O'Callaghan C, Lam A, McKinnon AC, Tan JBC, Michaelian JC, Kong SDX, D'Rozario AL, Naismith SL. Sleep spindle architecture associated with distinct clinical phenotypes in older adults at risk for dementia. Mol Psychiatry 2024; 29:402-411. [PMID: 38052981 PMCID: PMC11116104 DOI: 10.1038/s41380-023-02335-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 11/14/2023] [Accepted: 11/17/2023] [Indexed: 12/07/2023]
Abstract
Sleep spindles are a hallmark of non-REM sleep and play a fundamental role in memory consolidation. Alterations in these spindles are emerging as sensitive biomarkers for neurodegenerative diseases of ageing. Understanding the clinical presentations associated with spindle alterations may help to elucidate the functional role of these distinct electroencephalographic oscillations and the pathophysiology of sleep and neurodegenerative disorders. Here, we use a data-driven approach to examine the sleep, memory and default mode network connectivity phenotypes associated with sleep spindle architecture in older adults (mean age = 66 years). Participants were recruited from a specialist clinic for early diagnosis and intervention for cognitive decline, with a proportion showing mild cognitive deficits on neuropsychological testing. In a sample of 88 people who underwent memory assessment, overnight polysomnography and resting-state fMRI, a k-means cluster analysis was applied to spindle measures of interest: fast spindle density, spindle duration and spindle amplitude. This resulted in three clusters, characterised by preserved spindle architecture with higher fast spindle density and longer spindle duration (Cluster 1), and alterations in spindle architecture (Clusters 2 and 3). These clusters were further characterised by reduced memory (Clusters 2 and 3) and nocturnal hypoxemia, associated with sleep apnea (Cluster 3). Resting-state fMRI analysis confirmed that default mode connectivity was related to spindle architecture, although directionality of this relationship differed across the cluster groups. Together, these results confirm a diversity in spindle architecture in older adults, associated with clinically meaningful phenotypes, including memory function and sleep apnea. They suggest that resting-state default mode connectivity during the awake state can be associated with sleep spindle architecture; however, this is highly dependent on clinical phenotype. Establishing relationships between clinical and neuroimaging features and sleep spindle alterations will advance our understanding of the bidirectional relationships between sleep changes and neurodegenerative diseases of ageing.
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Affiliation(s)
- Isabella F Orlando
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Claire O'Callaghan
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Aaron Lam
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia
| | - Andrew C McKinnon
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia
| | - Joshua B C Tan
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Johannes C Michaelian
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia
| | - Shawn D X Kong
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia
- NHMRC Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, NSW, Australia
| | - Angela L D'Rozario
- NHMRC Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, NSW, Australia
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia.
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia.
- School of Psychology, Faculty of Science, The University of Sydney, Camperdown, NSW, Australia.
- NHMRC Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, NSW, Australia.
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Smith J, Honig-Frand A, Antila H, Choi A, Kim H, Beier KT, Weber F, Chung S. Regulation of stress-induced sleep fragmentation by preoptic glutamatergic neurons. Curr Biol 2024; 34:12-23.e5. [PMID: 38096820 PMCID: PMC10872481 DOI: 10.1016/j.cub.2023.11.035] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 09/28/2023] [Accepted: 11/15/2023] [Indexed: 01/11/2024]
Abstract
Sleep disturbances are detrimental to our behavioral and emotional well-being. Stressful events disrupt sleep, in particular by inducing brief awakenings (microarousals, MAs), resulting in sleep fragmentation. The preoptic area of the hypothalamus (POA) is crucial for sleep control. However, how POA neurons contribute to the regulation of MAs and thereby impact sleep quality is unknown. Using fiber photometry in mice, we examine the activity of genetically defined POA subpopulations during sleep. We find that POA glutamatergic neurons are rhythmically activated in synchrony with an infraslow rhythm in the spindle band of the electroencephalogram during non-rapid eye movement sleep (NREMs) and are transiently activated during MAs. Optogenetic stimulation of these neurons promotes MAs and wakefulness. Exposure to acute social defeat stress fragments NREMs and significantly increases the number of transients in the calcium activity of POA glutamatergic neurons during NREMs. By reducing MAs, optogenetic inhibition during spontaneous sleep and after stress consolidates NREMs. Monosynaptically restricted rabies tracing reveals that POA glutamatergic neurons are innervated by brain regions regulating stress and sleep. In particular, presynaptic glutamatergic neurons in the lateral hypothalamus become activated after stress, and stimulating their projections to the POA promotes MAs and wakefulness. Our findings uncover a novel circuit mechanism by which POA excitatory neurons regulate sleep quality after stress.
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Affiliation(s)
- Jennifer Smith
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Adam Honig-Frand
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hanna Antila
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ashley Choi
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hannah Kim
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kevin T Beier
- Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, Irvine, CA 92617, USA
| | - Franz Weber
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Shinjae Chung
- Department of Neuroscience, Chronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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