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Krizan Z, Boehm NA, Strauel CB. How emotions impact sleep: A quantitative review of experiments. Sleep Med Rev 2024; 74:101890. [PMID: 38154235 DOI: 10.1016/j.smrv.2023.101890] [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: 10/25/2022] [Revised: 10/10/2023] [Accepted: 11/28/2023] [Indexed: 12/30/2023]
Abstract
Although sleep and emotional processes are recognized as mutually dependent, the causal impact of emotions on sleep has been comparatively neglected. To appraise evidence for the causal influence of emotions on sleep, a meta-analysis of the existing experimental literature evaluated the strength, form, and context of experimental effects of emotion inductions on sleep parameters (k = 31). Quality of experiments was evaluated, and theoretically-relevant features were extracted and examined as moderating factors of observed effects (i.e., sleep parameter, design, sleep context, types of emotion inductions and emotions). Random-effect models were used to aggregate effects for each sleep parameter, while-mixed effect models examined moderators. There was a significant impact of emotion inductions on delayed sleep onset latency (D = 3.36 min, 95%CI [1.78, 4.94], g = 0.53), but not other parameters. There was little evidence of publication bias regarding sleep-onset latency effect, the studies overall were heterogeneous, sometimes of limited methodological quality, and could only detect moderate-to-large impacts. The findings supported the hypothesis that negative emotions delayed sleep onset, but evidence regarding other sleep parameters was inconclusive. The results call for more targeted investigation to disambiguate distinct features of emotions and their import for sleep.
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Affiliation(s)
- Zlatan Krizan
- Department of Psychology, Iowa State University, USA.
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2
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Zhao H, Jiang X, Ma M, Xing L, Ji X, Pan Y. A neural pathway for social modulation of spontaneous locomotor activity (SoMo-SLA) in Drosophila. Proc Natl Acad Sci U S A 2024; 121:e2314393121. [PMID: 38394240 PMCID: PMC10907233 DOI: 10.1073/pnas.2314393121] [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: 08/25/2023] [Accepted: 01/20/2024] [Indexed: 02/25/2024] Open
Abstract
Social enrichment or social isolation affects a range of innate behaviors, such as sex, aggression, and sleep, but whether there is a shared mechanism is not clear. Here, we report a neural mechanism underlying social modulation of spontaneous locomotor activity (SoMo-SLA), an internal-driven behavior indicative of internal states. We find that social enrichment specifically reduces spontaneous locomotor activity in male flies. We identify neuropeptides Diuretic hormone 44 (DH44) and Tachykinin (TK) to be up- and down-regulated by social enrichment and necessary for SoMo-SLA. We further demonstrate a sexually dimorphic neural circuit, in which the male-specific P1 neurons encoding internal states form positive feedback with interneurons coexpressing doublesex (dsx) and Tk to promote locomotion, while P1 neurons also form negative feedback with interneurons coexpressing dsx and DH44 to inhibit locomotion. These two opposing neuromodulatory recurrent circuits represent a potentially common mechanism that underlies the social regulation of multiple innate behaviors.
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Affiliation(s)
- Huan Zhao
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Xinyu Jiang
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Mingze Ma
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Limin Xing
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Xiaoxiao Ji
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
| | - Yufeng Pan
- The Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing210096, China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong226019, China
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Benedetto L, Peña F, Rivas M, Ferreira A, Torterolo P. The Integration of the Maternal Care with Sleep During the Postpartum Period. Sleep Med Clin 2023; 18:499-509. [PMID: 38501522 DOI: 10.1016/j.jsmc.2023.06.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Our entire life occurs in a constant alternation between wakefulness and sleep. The impossibility of living without sleep implies that any behavior must adapt to the need for sleep, and maternal behavior does not escape from this determination. Additionally, maternal behavior in mammals is a highly motivated behavior, essential for the survival of the offspring. Thus, the mother has to adapt her physiology of sleep to the constant demands of the pups, where each species will have different strategies to merge these two physiological needs. However, all studied female mammals will experience sleep disturbances at some point of the postpartum period.
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Affiliation(s)
- Luciana Benedetto
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
| | - Florencia Peña
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Mayda Rivas
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Annabel Ferreira
- Sección de Fisiología y Nutrición, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
| | - Pablo Torterolo
- Departamento de Fisiología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
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Wang Y, You L, Tan K, Li M, Zou J, Zhao Z, Hu W, Li T, Xie F, Li C, Yuan R, Ding K, Cao L, Xin F, Shang C, Liu M, Gao Y, Wei L, You Z, Gao X, Xiong W, Cao P, Luo M, Chen F, Li K, Wu J, Hong B, Yuan K. A common thalamic hub for general and defensive arousal control. Neuron 2023; 111:3270-3287.e8. [PMID: 37557180 DOI: 10.1016/j.neuron.2023.07.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/25/2023] [Accepted: 07/11/2023] [Indexed: 08/11/2023]
Abstract
The expression of defensive responses to alerting sensory cues requires both general arousal and a specific arousal state associated with defensive emotions. However, it remains unclear whether these two forms of arousal can be regulated by common brain regions. We discovered that the medial sector of the auditory thalamus (ATm) in mice is a thalamic hub controlling both general and defensive arousal. The spontaneous activity of VGluT2-expressing ATm (ATmVGluT2+) neurons was correlated with and causally contributed to wakefulness. In sleeping mice, sustained ATmVGluT2+ population responses were predictive of sensory-induced arousal, the likelihood of which was markedly decreased by inhibiting ATmVGluT2+ neurons or multiple downstream pathways. In awake mice, ATmVGluT2+ activation led to heightened arousal accompanied by excessive anxiety and avoidance behavior. Notably, blocking their neurotransmission abolished alerting stimuli-induced defensive behaviors. These findings may shed light on the comorbidity of sleep disturbances and abnormal sensory sensitivity in specific brain disorders.
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Affiliation(s)
- Yiwei Wang
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Ling You
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - KaMun Tan
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Meijie Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Jingshan Zou
- Hospital of Chengdu University of Traditional Chinese Medicine, Traditional Chinese Medicine Hospital of Sichuan Province, Chengdu 610036, China
| | - Zhifeng Zhao
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Department of Automation, Tsinghua University, Beijing 100084, China
| | - Wenxin Hu
- School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
| | - Tianyu Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Fenghua Xie
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing 100084, China
| | - Caiqin Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Ruizhi Yuan
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
| | - Kai Ding
- Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Lingwei Cao
- Zhili College, Tsinghua University, Beijing 100084, China
| | - Fengyuan Xin
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China
| | - Congping Shang
- National Institute of Biological Sciences (NIBS), Beijing 102206, China
| | - Miaomiao Liu
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; Laboratory Animal Resources Center, Tsinghua University, Beijing 100084, China
| | - Yixiao Gao
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China
| | - Liqiang Wei
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China
| | - Zhiwei You
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China; Laboratory of Dynamic Immunobiology, Institute for Immunology, Tsinghua University, Beijing 100084, China
| | - Xiaorong Gao
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing 100084, China
| | - Wei Xiong
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Chinese Institute for Brain Research, Beijing 102206, China
| | - Peng Cao
- National Institute of Biological Sciences (NIBS), Beijing 102206, China
| | - Minmin Luo
- National Institute of Biological Sciences (NIBS), Beijing 102206, China; Chinese Institute for Brain Research, Beijing 102206, China
| | - Feng Chen
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Kun Li
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Joint Center for Life Sciences, Beijing 100084, China
| | - Jiamin Wu
- IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Department of Automation, Tsinghua University, Beijing 100084, China
| | - Bo Hong
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing 100084, China.
| | - Kexin Yuan
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research at Tsinghua, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), Beijing 100084, China.
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Neural Control of Action Selection Among Innate Behaviors. Neurosci Bull 2022; 38:1541-1558. [PMID: 35633465 DOI: 10.1007/s12264-022-00886-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/10/2022] [Indexed: 10/18/2022] Open
Abstract
Nervous systems must not only generate specific adaptive behaviors, such as reproduction, aggression, feeding, and sleep, but also select a single behavior for execution at any given time, depending on both internal states and external environmental conditions. Despite their tremendous biological importance, the neural mechanisms of action selection remain poorly understood. In the past decade, studies in the model animal Drosophila melanogaster have demonstrated valuable neural mechanisms underlying action selection of innate behaviors. In this review, we summarize circuit mechanisms with a particular focus on a small number of sexually dimorphic neurons in controlling action selection among sex, fight, feeding, and sleep behaviors in both sexes of flies. We also discuss potentially conserved circuit configurations and neuromodulation of action selection in both the fly and mouse models, aiming to provide insights into action selection and the sexually dimorphic prioritization of innate behaviors.
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Harris JJ, Kollo M, Erskine A, Schaefer A, Burdakov D. Natural VTA activity during NREM sleep influences future exploratory behavior. iScience 2022; 25:104396. [PMID: 35663010 PMCID: PMC9156940 DOI: 10.1016/j.isci.2022.104396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 11/23/2021] [Accepted: 05/09/2022] [Indexed: 11/26/2022] Open
Abstract
During wakefulness, the VTA represents the valence of experiences and mediates affective response to the outside world. Recent work revealed that two major VTA populations – dopamine and GABA neurons – are highly active during REM sleep and less active during NREM sleep. Using long-term cell type and brain state-specific recordings, machine learning, and optogenetics, we examined the role that the sleep-activity of these neurons plays in subsequent awake behavior. We found that VTA activity during NREM (but not REM) sleep correlated with exploratory features of the next day’s behavior. Disrupting natural VTA activity during NREM (but not REM) sleep reduced future tendency to explore and increased preferences for familiarity and goal-directed actions, with no direct effect on learning or memory. Our data suggest that, during deep sleep, VTA neurons engage in offline processing, consolidating not memories but affective responses to remembered environments, shaping the way that animals respond to future experiences. Dopamine and GABA neurons in the VTA are active during NREM as well as REM sleep VTA activity during NREM-sleep — but not REM-sleep — is correlated with exploration the next day Inhibiting this activity during NREM-sleep — but not REM-sleep — reduces future exploration
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Sotelo MI, Tyan J, Markunas C, Sulaman BA, Horwitz L, Lee H, Morrow JG, Rothschild G, Duan B, Eban-Rothschild A. Lateral hypothalamic neuronal ensembles regulate pre-sleep nest-building behavior. Curr Biol 2022; 32:806-822.e7. [PMID: 35051354 PMCID: PMC10455050 DOI: 10.1016/j.cub.2021.12.053] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 11/17/2021] [Accepted: 12/21/2021] [Indexed: 01/08/2023]
Abstract
The transition from wakefulness to sleep requires striking alterations in brain activity, physiology, and behavior, yet the precise neuronal circuit elements facilitating this transition remain unclear. Prior to sleep onset, many animal species display characteristic behaviors, including finding a safe location, performing hygiene-related behaviors, and preparing a space for sleep. It has been proposed that the pre-sleep period is a transitional phase in which engaging in a specific behavioral repertoire de-arouses the brain and facilitates the wake-to-sleep transition, yet both causal evidence for this premise and an understanding of the neuronal circuit elements involved are lacking. Here, we combine detailed behavioral observations, EEG-EMG recordings, selective targeting, and activity modulation of pre-sleep-active neurons to reveal the behaviors preceding sleep initiation and their underlying neurobiological mechanisms. We show that mice engage in temporally structured behaviors with stereotypic EEG signatures prior to sleep and that nest-building and grooming become significantly more prevalent with sleep proximity. We next demonstrate that the ability to build a nest promotes the initiation and consolidation of sleep and that the lack of nesting material chronically fragments sleep. Lastly, we identify broadly projecting and predominantly glutamatergic neuronal ensembles in the lateral hypothalamus that regulate the motivation to engage in pre-sleep nest-building behavior and gate sleep initiation and intensity. Our study provides causal evidence for the facilitatory role of pre-sleep behaviors in sleep initiation and consolidation and a functional characterization of the neuronal underpinnings regulating a sleep-related and goal-directed complex behavior.
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Affiliation(s)
- Maria I Sotelo
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jean Tyan
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Chelsea Markunas
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Bibi A Sulaman
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA; Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA
| | - Lorraine Horwitz
- Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI 48109, USA; Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hankyu Lee
- Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Joshua G Morrow
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Gideon Rothschild
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109, USA; Kresge Hearing Research Institute and Department of Otolaryngology - Head and Neck Surgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Bo Duan
- Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA
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Milinski L, Fisher SP, Cui N, McKillop LE, Blanco-Duque C, Ang G, Yamagata T, Bannerman DM, Vyazovskiy VV. Waking experience modulates sleep need in mice. BMC Biol 2021; 19:65. [PMID: 33823872 PMCID: PMC8025572 DOI: 10.1186/s12915-021-00982-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 02/14/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Homeostatic regulation of sleep is reflected in the maintenance of a daily balance between sleep and wakefulness. Although numerous internal and external factors can influence sleep, it is unclear whether and to what extent the process that keeps track of time spent awake is determined by the content of the waking experience. We hypothesised that alterations in environmental conditions may elicit different types of wakefulness, which will in turn influence both the capacity to sustain continuous wakefulness as well as the rates of accumulating sleep pressure. To address this, we compared the effects of repetitive behaviours such as voluntary wheel running or performing a simple touchscreen task, with wakefulness dominated by novel object exploration, on sleep timing and EEG slow-wave activity (SWA) during subsequent NREM sleep. RESULTS We find that voluntary wheel running is associated with higher wake EEG theta-frequency activity and results in longer wake episodes, as compared with exploratory behaviour; yet, it does not lead to higher levels of EEG SWA during subsequent NREM sleep in either the frontal or occipital derivation. Furthermore, engagement in a touchscreen task, motivated by food reward, results in lower SWA during subsequent NREM sleep in both derivations, as compared to exploratory wakefulness, even though the total duration of wakefulness is similar. CONCLUSION Overall, our study suggests that sleep-wake behaviour is highly flexible within an individual and that the homeostatic processes that keep track of time spent awake are sensitive to the nature of the waking experience. We therefore conclude that sleep dynamics are determined, to a large degree, by the interaction between the organism and the environment.
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Affiliation(s)
- Linus Milinski
- Department of Physiology, Anatomy and Genetics, University of Oxford/Sleep and Circadian Neuroscience Institute, Oxford, UK
| | - Simon P Fisher
- Department of Physiology, Anatomy and Genetics, University of Oxford/Sleep and Circadian Neuroscience Institute, Oxford, UK
| | - Nanyi Cui
- Department of Physiology, Anatomy and Genetics, University of Oxford/Sleep and Circadian Neuroscience Institute, Oxford, UK
| | - Laura E McKillop
- Department of Physiology, Anatomy and Genetics, University of Oxford/Sleep and Circadian Neuroscience Institute, Oxford, UK
| | - Cristina Blanco-Duque
- Department of Physiology, Anatomy and Genetics, University of Oxford/Sleep and Circadian Neuroscience Institute, Oxford, UK
| | - Gauri Ang
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Tomoko Yamagata
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - David M Bannerman
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Vladyslav V Vyazovskiy
- Department of Physiology, Anatomy and Genetics, University of Oxford/Sleep and Circadian Neuroscience Institute, Oxford, UK.
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