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Atluri N, Dulko E, Jedrusiak M, Klos J, Osuru HP, Davis E, Beenhakker M, Kapur J, Zuo Z, Lunardi N. Anatomical Substrates of Rapid Eye Movement Sleep Rebound in a Rodent Model of Post-sevoflurane Sleep Disruption. Anesthesiology 2024; 140:729-741. [PMID: 38157434 PMCID: PMC10939895 DOI: 10.1097/aln.0000000000004893] [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] [Indexed: 01/03/2024]
Abstract
BACKGROUND Previous research suggests that sevoflurane anesthesia may prevent the brain from accessing rapid eye movement (REM) sleep. If true, then patterns of neural activity observed in REM-on and REM-off neuronal populations during recovery from sevoflurane should resemble those seen after REM sleep deprivation. In this study, the authors hypothesized that, relative to controls, animals exposed to sevoflurane present with a distinct expression pattern of c-Fos, a marker of neuronal activation, in a cluster of nuclei classically associated with REM sleep, and that such expression in sevoflurane-exposed and REM sleep-deprived animals is largely similar. METHODS Adult rats and Targeted Recombination in Active Populations mice were implanted with electroencephalographic electrodes for sleep-wake recording and randomized to sevoflurane, REM deprivation, or control conditions. Conventional c-Fos immunohistochemistry and genetically tagged c-Fos labeling were used to quantify activated neurons in a group of REM-associated nuclei in the midbrain and basal forebrain. RESULTS REM sleep duration increased during recovery from sevoflurane anesthesia relative to controls (157.0 ± 24.8 min vs. 124.2 ± 27.8 min; P = 0.003) and temporally correlated with increased c-Fos expression in the sublaterodorsal nucleus, a region active during REM sleep (176.0 ± 36.6 cells vs. 58.8 ± 8.7; P = 0.014), and decreased c-Fos expression in the ventrolateral periaqueductal gray, a region that is inactive during REM sleep (34.8 ± 5.3 cells vs. 136.2 ± 19.6; P = 0.001). Fos changes similar to those seen in sevoflurane-exposed mice were observed in REM-deprived animals relative to controls (sublaterodorsal nucleus: 85.0 ± 15.5 cells vs. 23.0 ± 1.2, P = 0.004; ventrolateral periaqueductal gray: 652.8 ± 71.7 cells vs. 889.3 ± 66.8, P = 0.042). CONCLUSIONS In rodents recovering from sevoflurane, REM-on and REM-off neuronal activity maps closely resemble those of REM sleep-deprived animals. These findings provide new evidence in support of the idea that sevoflurane does not substitute for endogenous REM sleep. EDITOR’S PERSPECTIVE
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Affiliation(s)
- Navya Atluri
- Department of Anesthesiology, University of Virginia, Charlottesville, VA, USA
| | - Elzbieta Dulko
- Neuroscience Graduate Program, University of Virginia, Charlottesville, VA, USA
| | - Michal Jedrusiak
- Department of Anesthesiology, University of Virginia, Charlottesville, VA, USA
| | - Joanna Klos
- Max Planck Institute for Biological Intelligence, Munich, Germany
| | - Hari P Osuru
- Department of Anesthesiology, University of Virginia, Charlottesville, VA, USA
| | - Eric Davis
- Department of Internal Medicine, University of Virginia, Charlottesville, VA, USA
| | - Mark Beenhakker
- Department of Pharmacology, University of Virginia, Charlottesville, VA, USA
| | - Jaideep Kapur
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
| | - Zhiyi Zuo
- Department of Anesthesiology, University of Virginia, Charlottesville, VA, USA
| | - Nadia Lunardi
- Department of Anesthesiology, University of Virginia, Charlottesville, VA, USA
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Zhu J, Chen C, Wu J, He M, Li S, Fang Y, Zhou Y, Xu H, Sadigh-Eteghad S, Manyande A, Zheng F, Chen T, Xu F, Ma D, Wang J, Zhang Z. Effects of propofol and sevoflurane on social and anxiety-related behaviours in sleep-deprived rats. Br J Anaesth 2023; 131:531-541. [PMID: 37543435 DOI: 10.1016/j.bja.2023.05.025] [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: 08/23/2022] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 08/07/2023] Open
Abstract
BACKGROUND Sleep disorders can profoundly affect neurological function. We investigated changes in social and anxiety-related brain functional connectivity induced by sleep deprivation, and the potential therapeutic effects of the general anaesthetics propofol and sevoflurane in rats. METHODS Twelve-week-old male Sprague-Dawley rats were subjected to sleep deprivation for 20 h per day (from 14:00 to 10:00 the next day) for 4 consecutive weeks. They were free from sleep deprivation for the remaining 4 h during which they received propofol (40 mg kg-1 i.p.) or sevoflurane (2% for 2 h) per day or no treatment. These cohorts were instrumented for EEG/EMG recordings on days 2, 14, and 28. Different cohorts were used for open field and three-chambered social behavioural tests, functional MRI, nuclear magnetic resonance spectroscopy, and positron emission tomography imaging 48 h after 4 weeks of sleep deprivation. RESULTS Propofol protected against sleep deprivation-induced anxiety behaviours with more time (44.7 [8.9] s vs 24.2 [4.1] s for the sleep-deprivation controls; P<0.001) spent in the central area of the open field test and improved social preference index by 30% (all P<0.01). Compared with the sleep-deprived rats, propofol treatment enhanced overall functional connectivity by 74% (P<0.05) and overall glucose metabolism by 30% (P<0.01), and improved glutamate kinetics by 20% (P<0.05). In contrast, these effects were not found after sevoflurane treatment. CONCLUSIONS Unlike sevoflurane, propofol reduced sleep deprivation-induced social and anxiety-related behaviours. Propofol might be superior to sevoflurane for patients with sleep disorders who receive anaesthesia, which should be studied in clinical studies.
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Affiliation(s)
- Jinpiao Zhu
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Chang Chen
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Jinfeng Wu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Mengying He
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China; Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Shuang Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Yuanyuan Fang
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China; Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China
| | - Yan Zhou
- Frontier Science Center for Immunology and Metabolism, and Medical Research Institute at School of Medicine, Wuhan University, Wuhan, China
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Saeed Sadigh-Eteghad
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Anne Manyande
- School of Human and Social Sciences, University of West London, London, UK
| | - Feng Zheng
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Ting Chen
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China
| | - Fuqiang Xu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China
| | - Daqing Ma
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, UK; Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Jie Wang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China.
| | - Zongze Zhang
- Department of Anesthesiology, Zhongnan Hospital, Wuhan University, Wuhan, China.
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Jia X, Zhang L, Zhang W, Zhou Y, Song Y, Liu C, Yang N, Sun J, Sun Z, Li Z, Shi C, Han Y, Yuan Y, Shi J, Liu Y, Guo X. Melatonin ameliorates the sleep disorder induced by surgery under sevoflurane anaesthesia in aged mice. Basic Clin Pharmacol Toxicol 2021; 128:256-267. [PMID: 32975883 DOI: 10.1111/bcpt.13498] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 09/01/2020] [Accepted: 09/13/2020] [Indexed: 11/30/2022]
Abstract
Post-operative sleep disorders induce adverse effects on patients, especially the elderly, which may be associated with surgery and inhalational anaesthetics. Melatonin is a neuroendocrine regulator of the sleep-wake cycle. In this study, we analysed the alterations of post-operative sleep in aged melatonin-deficient (C57BL/6J) mice, and investigated if exogenous melatonin could facilitate entrainment of circadian rhythm after laparotomy under sevoflurane anaesthesia. The results showed that laparotomy under sevoflurane anaesthesia had a greater influence on post-operative sleep than sevoflurane alone. Laparotomy under anaesthesia led to circadian rhythm shifting forward, altered EEG power density and delta power of NREM sleep, and lengthened REM and NREM sleep latencies. In the light phase, the number of waking episodes tended to decline, and wake episode duration elevated. However, these indicators presented the opposite tendency during the dark phase. Melatonin showed significant efficacy for ameliorating the sleep disorder and restoring physiological sleep, and most of the beneficial effect of melatonin was antagonized by luzindole, a melatonin receptor antagonist.
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Affiliation(s)
- Xixi Jia
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Liqun Zhang
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Wen Zhang
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yang Zhou
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Yanan Song
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Chang Liu
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Ning Yang
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Jie Sun
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Zhuonan Sun
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Zhengqian Li
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Chengmei Shi
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Yongzheng Han
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Yi Yuan
- Department of Anesthesiology, Beijing Jishuitan Hospital, Beijing, China
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yajie Liu
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
| | - Xiangyang Guo
- Department of Anesthesiology, Peking University Third Hospital, Beijing, China
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Zhang X, Baer AG, Price JM, Jones PC, Garcia BJ, Romero J, Cliff AM, Mi W, Brown JB, Jacobson DA, Lydic R, Baghdoyan HA. Neurotransmitter networks in mouse prefrontal cortex are reconfigured by isoflurane anesthesia. J Neurophysiol 2020; 123:2285-2296. [PMID: 32347157 PMCID: PMC7311717 DOI: 10.1152/jn.00092.2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
This study quantified eight small-molecule neurotransmitters collected simultaneously from prefrontal cortex of C57BL/6J mice (n = 23) during wakefulness and during isoflurane anesthesia (1.3%). Using isoflurane anesthesia as an independent variable enabled evaluation of the hypothesis that isoflurane anesthesia differentially alters concentrations of multiple neurotransmitters and their interactions. Machine learning was applied to reveal higher order interactions among neurotransmitters. Using a between-subjects design, microdialysis was performed during wakefulness and during anesthesia. Concentrations (nM) of acetylcholine, adenosine, dopamine, GABA, glutamate, histamine, norepinephrine, and serotonin in the dialysis samples are reported (means ± SD). Relative to wakefulness, acetylcholine concentration was lower during isoflurane anesthesia (1.254 ± 1.118 vs. 0.401 ± 0.134, P = 0.009), and concentrations of adenosine (29.456 ± 29.756 vs. 101.321 ± 38.603, P < 0.001), dopamine (0.0578 ± 0.0384 vs. 0.113 ± 0.084, P = 0.036), and norepinephrine (0.126 ± 0.080 vs. 0.219 ± 0.066, P = 0.010) were higher during anesthesia. Isoflurane reconfigured neurotransmitter interactions in prefrontal cortex, and the state of isoflurane anesthesia was reliably predicted by prefrontal cortex concentrations of adenosine, norepinephrine, and acetylcholine. A novel finding to emerge from machine learning analyses is that neurotransmitter concentration profiles in mouse prefrontal cortex undergo functional reconfiguration during isoflurane anesthesia. Adenosine, norepinephrine, and acetylcholine showed high feature importance, supporting the interpretation that interactions among these three transmitters may play a key role in modulating levels of cortical and behavioral arousal. NEW & NOTEWORTHY This study discovered that interactions between neurotransmitters in mouse prefrontal cortex were altered during isoflurane anesthesia relative to wakefulness. Machine learning further demonstrated that, relative to wakefulness, higher order interactions among neurotransmitters were disrupted during isoflurane administration. These findings extend to the neurochemical domain the concept that anesthetic-induced loss of wakefulness results from a disruption of neural network connectivity.
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Affiliation(s)
- Xiaoying Zhang
- Department of Anesthesiology, University of Tennessee Medical Center, Knoxville, Tennessee.,Department of Psychology, University of Tennessee, Knoxville, Tennessee.,Anesthesia and Operation Center, Chinese PLA General Hospital, Beijing, China
| | - Aaron G Baer
- Department of Anesthesiology, University of Tennessee Medical Center, Knoxville, Tennessee
| | - Joshua M Price
- Office of Information Technology, University of Tennessee, Knoxville, Tennessee
| | - Piet C Jones
- Oak Ridge National Laboratory, Oak Ridge, Tennessee.,Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee
| | | | - Jonathon Romero
- Oak Ridge National Laboratory, Oak Ridge, Tennessee.,Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee
| | - Ashley M Cliff
- Oak Ridge National Laboratory, Oak Ridge, Tennessee.,Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee
| | - Weidong Mi
- Anesthesia and Operation Center, Chinese PLA General Hospital, Beijing, China
| | - James B Brown
- Molecular Ecosystems Biology Department, Lawrence Berkeley National Laboratory, Berkeley, California
| | | | - Ralph Lydic
- Department of Anesthesiology, University of Tennessee Medical Center, Knoxville, Tennessee.,Department of Psychology, University of Tennessee, Knoxville, Tennessee.,Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - Helen A Baghdoyan
- Department of Anesthesiology, University of Tennessee Medical Center, Knoxville, Tennessee.,Department of Psychology, University of Tennessee, Knoxville, Tennessee.,Oak Ridge National Laboratory, Oak Ridge, Tennessee
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Huang H, Zhu CT, Skuja LL, Hayden DJ, Hart AC. Genome-Wide Screen for Genes Involved in Caenorhabditis elegans Developmentally Timed Sleep. G3 (BETHESDA, MD.) 2017; 7:2907-2917. [PMID: 28743807 PMCID: PMC5592919 DOI: 10.1534/g3.117.300071] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 07/21/2017] [Indexed: 12/24/2022]
Abstract
In Caenorhabditis elegans, Notch signaling regulates developmentally timed sleep during the transition from L4 larval stage to adulthood (L4/A) . To identify core sleep pathways and to find genes acting downstream of Notch signaling, we undertook the first genome-wide, classical genetic screen focused on C. elegans developmentally timed sleep. To increase screen efficiency, we first looked for mutations that suppressed inappropriate anachronistic sleep in adult hsp::osm-11 animals overexpressing the Notch coligand OSM-11 after heat shock. We retained suppressor lines that also had defects in L4/A developmentally timed sleep, without heat shock overexpression of the Notch coligand. Sixteen suppressor lines with defects in developmentally timed sleep were identified. One line carried a new allele of goa-1; loss of GOA-1 Gαo decreased C. elegans sleep. Another line carried a new allele of gpb-2, encoding a Gβ5 protein; Gβ5 proteins have not been previously implicated in sleep. In other scenarios, Gβ5 GPB-2 acts with regulators of G protein signaling (RGS proteins) EAT-16 and EGL-10 to terminate either EGL-30 Gαq signaling or GOA-1 Gαo signaling, respectively. We found that loss of Gβ5 GPB-2 or RGS EAT-16 decreased L4/A sleep. By contrast, EGL-10 loss had no impact. Instead, loss of RGS-1 and RGS-2 increased sleep. Combined, our results suggest that, in the context of L4/A sleep, GPB-2 predominantly acts with EAT-16 RGS to inhibit EGL-30 Gαq signaling. These results confirm the importance of G protein signaling in sleep and demonstrate that these core sleep pathways function genetically downstream of the Notch signaling events promoting sleep.
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Affiliation(s)
- Huiyan Huang
- Department of Neuroscience, Brown University, Providence, Rhode Island 02912
| | - Chen-Tseh Zhu
- Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912
| | - Lukas L Skuja
- Department of Neuroscience, Brown University, Providence, Rhode Island 02912
| | - Dustin J Hayden
- Department of Neuroscience, Brown University, Providence, Rhode Island 02912
| | - Anne C Hart
- Department of Neuroscience, Brown University, Providence, Rhode Island 02912
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Ketamine and propofol have opposite effects on postanesthetic sleep architecture in rats: relevance to the endogenous sleep-wakefulness substances orexin and melanin-concentrating hormone. J Anesth 2016; 30:437-43. [PMID: 26984688 DOI: 10.1007/s00540-016-2161-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Accepted: 03/08/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND Anesthesia and surgery disturb sleep. Disturbed sleep adversely affects postoperative complications involving the cardiovascular system, diabetes, and infection. General anesthetics share neuronal mechanisms involving endogenous sleep-wakefulness-related substances, such as orexin (OX) and melanin-concentrating hormone (MCH). We evaluated changes in sleep architecture and the concentration of OX and MCH during the peri-anesthetic period. METHODS To examine sleep architecture, male Sprague-Dawley rats weighing 350-450 g received ketamine 100 mg/kg (n = 9) or propofol 80 mg/kg (n = 6) by intraperitoneal injection. Electroencephalography was recorded from 2 days pre- to 5 days postanesthesia. To quantify levels of OX and MCH, 144 similar rats received the same doses of ketamine (n = 80) or propofol (n = 64). Brain concentrations of these substances were determined at 0, 20, 60, and 120 min after anesthetic administration. RESULTS Ketamine decreased OX content in the hypothalamus during the anesthesia period. OX content was restored to pre-anesthesia levels in the hypothalamus and pons. Both anesthetics increased brain MCH content in the postanesthetic period, with the degree of increase being greater with propofol. Ketamine enhanced wakefulness and inhibited non-rapid eye movement sleep (NREMS) immediately after anesthesia. Conversely, propofol inhibited wakefulness and enhanced NREMS in that period. Ketamine inhibited wakefulness and enhanced NREMS during the dark phase on the first postanesthesia day. CONCLUSIONS Anesthetics affect various endogenous sleep-wakefulness-related substances; however, the modulation pattern may depend on the type of anesthetic. The process of postanesthetic sleep disturbance was agent specific. Our results provide fundamental evidence to treat anesthetic-related sleep disturbance.
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