Thematische Bibliographien / Sleep-wake cycle

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Auswahl der wissenschaftlichen Literatur zum Thema „Sleep-wake cycle“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 31. August 2024

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Zeitschriftenartikel zum Thema "Sleep-wake cycle"

Martell, M. „Sleep-Wake Cycle“. Acta Scientific Paediatrics 5, Nr. 3 (26.02.2022): 25–26. http://dx.doi.org/10.31080/aspe.2022.05.0506.

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Mallika, M. C. Vasantha, und Ajay Jayakumar Nair. „Effect of Sleep-Wake Cycles on Academic Performances and Behavioural Changes among Undergraduate Medical Students“. Healthline 15, Nr. 1 (31.03.2024): 86–90. http://dx.doi.org/10.51957/healthline5772023.

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Introduction: Sleep wake cycles form major part in the life of every student, starting from the school ages itself. This cycle has a major relationship in ensuring the proper functioning and day to day activities of the individual in all walks of life. Objectives: To assess the quality of sleep wake cycle among undergraduate medical students and to find out the association of sleep wake cycle with academic performances and behavioural changes among undergraduate medical students Results: In a cross sectional study among 300 participants, 35.3 % of the participants had good sleep-wake cycle. There was a positive association between sleep-wake cycles and academic performances. (χ2 value 5.24 with p value <0.05). Age, gender, residence, socioeconomic status and year of study showed statistically significant association with behavioural patterns (p value <0.05) Conclusion: Good quality of sleep wake cycle was present among one third of participants. There was a positive association between sleep-wake cycles and academic performance, but no significant association between behavioral patterns and sleep-wake cycles.

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Claustrat, B., J. Brun, M. Geoffriau, G. Chazot und M. J. Challarmel. „Melatonin, sleep-wake cycle and sleep“. Biological Psychiatry 42, Nr. 1 (Juli 1997): 226S. http://dx.doi.org/10.1016/s0006-3223(97)87830-4.

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Kniazkina, Marina, und Vyacheslav Dyachuk. „Does EGFR Signaling Mediate Orexin System Activity in Sleep Initiation?“ International Journal of Molecular Sciences 24, Nr. 11 (30.05.2023): 9505. http://dx.doi.org/10.3390/ijms24119505.

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Sleep–wake cycle disorders are an important symptom of many neurological diseases, including Parkinson’s disease, Alzheimer’s disease, and multiple sclerosis. Circadian rhythms and sleep–wake cycles play a key role in maintaining the health of organisms. To date, these processes are still poorly understood and, therefore, need more detailed elucidation. The sleep process has been extensively studied in vertebrates, such as mammals and, to a lesser extent, in invertebrates. A complex, multi-step interaction of homeostatic processes and neurotransmitters provides the sleep–wake cycle. Many other regulatory molecules are also involved in the cycle regulation, but their functions remain largely unclear. One of these signaling systems is epidermal growth factor receptor (EGFR), which regulates the activity of neurons in the modulation of the sleep–wake cycle in vertebrates. We have evaluated the possible role of the EGFR signaling pathway in the molecular regulation of sleep. Understanding the molecular mechanisms that underlie sleep–wake regulation will provide critical insight into the fundamental regulatory functions of the brain. New findings of sleep-regulatory pathways may provide new drug targets and approaches for the treatment of sleep-related diseases.

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Putilov, Arcady A. „Can the Brain’s Thermostatic Mechanism Generate Sleep-Wake and NREM-REM Sleep Cycles? A Nested Doll Model of Sleep-Regulating Processes“. Clocks & Sleep 6, Nr. 1 (19.02.2024): 97–113. http://dx.doi.org/10.3390/clockssleep6010008.

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Evidence is gradually accumulating in support of the hypothesis that a process of thermostatic brain cooling and warming underlies sleep cycles, i.e., the alternations between non-rapid-eye-movement and rapid-eye-movement sleep throughout the sleep phase of the sleep-wake cycle. A mathematical thermostat model predicts an exponential shape of fluctuations in temperature above and below the desired temperature setpoint. If the thermostatic process underlies sleep cycles, can this model explain the mechanisms governing the sleep cyclicities in humans? The proposed nested doll model incorporates Process s generating sleep cycles into Process S generating sleep-wake cycles of the two-process model of sleep-wake regulation. Process s produces ultradian fluctuations around the setpoint, while Process S turns this setpoint up and down in accord with the durations of the preceding wake phase and the following sleep phase of the sleep-wake cycle, respectively. Predictions of the model were obtained in an in silico study and confirmed by simulations of oscillations of spectral electroencephalographic indexes of sleep regulation obtained from night sleep and multiple napping attempts. Only simple—inverse exponential and exponential—functions from the thermostatic model were used for predictions and simulations of rather complex and varying shapes of sleep cycles during an all-night sleep episode. To further test the proposed model, experiments on mammal species with monophasic sleep are required. If supported, this model can provide a valuable framework for understanding the involvement of sleep-wake regulatory processes in the mechanism of thermostatic brain cooling/warming.

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Wexler, D. B., und M. C. Moore-Ede. „Circadian sleep-wake cycle organization in squirrel monkeys“. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 248, Nr. 3 (01.03.1985): R353—R362. http://dx.doi.org/10.1152/ajpregu.1985.248.3.r353.

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To investigate the relationship between circadian rhythms of body temperature and sleep-wake stages, four squirrel monkeys were prepared for unrestrained monitoring of temperature, locomotor activity, electroencephalogram, electroculogram, and electromyogram. Continuous records for each animal were made for several 12-h light-dark (LD) cycles and then after a few days in constant illumination (LL). All animals maintained consolidated sleep-wake cycles and had a longer circadian period (mean 24.7 h) in LL than in LD (mean 24.1 h). The increased period reflected greater time per circadian cycle spent awake in LL (mean 14.0 h) than in LD (mean 12.8 h). Total night NREM sleep was less in LL (mean 6.5 h) than in LD (mean 8.2 h). Sleep onset occurred at later phases in LL (187 +/- 6 degrees) than in LD (170 +/- 2 degrees). Because the circadian phase measure of NREM sleep was unchanged between LD and LL conditions, the difference in sleep onsets reflected balanced changes in NREM circadian waveforms. Wake-up phases were the same in both conditions (mean 342 degrees). In summary, during free run squirrel monkeys maintain a stable consolidated circadian sleep-wake cycle with a period greater than 24 h, but they exhibit only minimal internal phase restructuring.

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Marita, P., und R. Acharya Pandey. „Prevalence of sleep – wake cycle disturbance among cancer patients of Bhaktapur cancer hospital, Nepal“. Journal of Chitwan Medical College 6, Nr. 2 (20.02.2017): 6–13. http://dx.doi.org/10.3126/jcmc.v6i2.16678.

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Cancer patients are at great risk for developing insomnia and disorders of the sleep-wake cycle. Insomnia is the most common sleep disturbance in this population and is most often secondary to physical and/or psychological factors related to cancer and/or cancer treatment. It is estimated that nearly 45% of cancer patients experience sleep disturbances; this is nearly three times the estimate of its occurrence in the general population. The purpose of the study is to determine the prevalence of sleep-wake cycle disturbance in patient receiving chemotherapy. A descriptive cross-sectional study was carried out in 2013. A total of 205 respondents, visiting Bhaktapur Cancer Hospital and who met criteria were purposively sampled and interviewed face to face. Insomnia Severity Index Scale was used to grade insomnia. Descriptive statistics such as frequency and percentage was used to describe demographic data. Chi-square test was done to find out the association between prevalence of sleep-wake cycle disturbance and selected variables. Among the total respondents (205), 70.7% had sleep-wake cycle disturbances. Majority (71.21%) of respondents had some form of clinically significant insomnia. The ages of the respondents ranged from 20 to 81 years with the mean age of 56.25 (SD ± 13.87). More than half i.e. 69.3% of the respondents were female. Patients being treated with Methotrexate were found to be more associated with the development of sleep-wake cycle disturbance. The significant association was found on drinking tea/coffee with the prevalence sleep-wake cycle disturbance. Sleep disorders are a common and often chronic problem for patients with cancer. Recently, such symptoms have attracted little attention. This might be the reasons for increased prevalence of sleep-wake cycle disturbance. It is recommended to take early and adequate intervention for the reduction of increased prevalence rate of sleep-wake cycle disturbance.

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Duclos, Catherine, Marie Dumont, Caroline Arbour, Jean Paquet, Hélène Blais, David K. Menon, Louis De Beaumont, Francis Bernard und Nadia Gosselin. „Parallel recovery of consciousness and sleep in acute traumatic brain injury“. Neurology 88, Nr. 3 (21.12.2016): 268–75. http://dx.doi.org/10.1212/wnl.0000000000003508.

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Objective:To investigate whether the progressive recuperation of consciousness was associated with the reconsolidation of sleep and wake states in hospitalized patients with acute traumatic brain injury (TBI).Methods:This study comprised 30 hospitalized patients (age 29.1 ± 13.5 years) in the acute phase of moderate or severe TBI. Testing started 21.0 ± 13.7 days postinjury. Consciousness level and cognitive functioning were assessed daily with the Rancho Los Amigos scale of cognitive functioning (RLA). Sleep and wake cycle characteristics were estimated with continuous wrist actigraphy. Mixed model analyses were performed on 233 days with the RLA (fixed effect) and sleep-wake variables (random effects). Linear contrast analyses were performed in order to verify if consolidation of the sleep and wake states improved linearly with increasing RLA score.Results:Associations were found between scores on the consciousness/cognitive functioning scale and measures of sleep-wake cycle consolidation (p < 0.001), nighttime sleep duration (p = 0.018), and nighttime fragmentation index (p < 0.001). These associations showed strong linear relationships (p < 0.01 for all), revealing that consciousness and cognition improved in parallel with sleep-wake quality. Consolidated 24-hour sleep-wake cycle occurred when patients were able to give context-appropriate, goal-directed responses.Conclusions:Our results showed that when the brain has not sufficiently recovered a certain level of consciousness, it is also unable to generate a 24-hour sleep-wake cycle and consolidated nighttime sleep. This study contributes to elucidating the pathophysiology of severe sleep-wake cycle alterations in the acute phase of moderate to severe TBI.

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Murillo-Rodriguez, Eric, Oscar Arias-Carrion, Katya Sanguino-Rodriguez, Mauricio Gonzalez-Arias und Reyes Haro. „Mechanisms of Sleep-Wake Cycle Modulation“. CNS & Neurological Disorders - Drug Targets 8, Nr. 4 (01.08.2009): 245–53. http://dx.doi.org/10.2174/187152709788921654.

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Shadan, Farhad F. „Sleep-wake cycle, aging and cancer“. Journal of Applied Biomedicine 6, Nr. 3 (31.07.2008): 131–38. http://dx.doi.org/10.32725/jab.2008.016.

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Dissertationen zum Thema "Sleep-wake cycle"

Yin, Weiwei. „A Mathematical Model of the Sleep-Wake Cycle“. Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14508.

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The daily sleep-wake cycle usually consists of three distinct states: wakefulness, non-rapid-eye-movement (NREM) and rapid-eye-movement (REM). The process of switching between different states is complex, but a common assumption is that it is regulated primarily by two processes (the circadian and the homeostatic process) via reciprocal interactions of several downstream neuron groups. These interactions not only result in often rapid transitions from one state to another, but also allow for a certain degree of bi-stability that locks the organism in a given state for some while before it switches back. In order to better understand how the behavioral states are regulated by different neuron groups, I describe how to use the S-system method for the development of a mathematical model consisting of two phases. The first phase covers the switch between wakefulness and sleep, which is controlled by the interactions between wake- and sleep-promoting neurons, whereas the second phase addresses the generation of NREM-REM alternation, which is believed to be regulated by REM-OFF and REM-ON neurons. In this set-up I interpret the circadian rhythm as external input and homeostatic regulation as a feedback controller. Both open-loop and closed-loop forms of the two-phase model are investigated and implemented. Discharging activities of the corresponding neuron groups and the switches of behavioral states are shown in the simulation results, from which we can easily identify the basic roles of wake- and sleep-promoting neurons, REM-OFF and REM-ON neurons. The special regulatory function of the neuropeptide orexin is also tested by simulation.

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Grow, Brian J. Sullivan Matthew C. „Assessing the effect of shipboard motion and sleep surface on sleep effectiveness“. Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Dec/09Dec%5FGrow.pdf.

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Thesis (M.S. in Human Systems Integration)--Naval Postgraduate School, December 2009.
Thesis Advisor(s): Miller, Nita Lewis. Second Reader: McCauley, Michael E. "December 2009." Description based on title screen as viewed on January 26, 2010. Author(s) subject terms: Sleep Efficiency, Sleeping Surface, Acceleration, Motion Effects on Sleep, Actigraphy, Sleep Quality, Shipboard Sleep. Includes bibliographical references (p. 83-87). Also available in print.

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Webster, Harry 1947. „The role of cholinergic neurons of the dorsolateral pontomesencephalic tegmentum in sleep-wakefulness states /“. Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75890.

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Pontomesencephalic tegmental cholinergic neurons were destroyed in cats by local injections of kainic acid in order to assess the role of these neurons in sleep-wakefulness states and in the defining variables of these states: EEG (electroencephalographic) and EMG (electromyographic) amplitude, PGO (ponto-geniculo-occipital) spike rate, REMs (rapid eye movements) and (OBS) olfactory bulb spindles. Loss of cholinergic innervation to forebrain and brainstem structures was also assessed by histochemistry. Histological and histochemical analysis of the brains after the lesion showed a major destruction of the pontomesencephalic cholinergic neurons and a major loss of innervation to thalamic nuclei and brainstem regions, including the reticular formation. Whereas the states of waking and slow wave sleep were relatively unaffected, paradoxical sleep (PS) was reduced or eliminated immediately following the lesions. Two to three weeks later, incipient PS-like episodes returned with a reduced PGO spike rate and REMs, and an elevated EMG amplitude, marking the loss of muscle atonia. Such results suggest pontomesencephalic cholinergic neurons and their projections to thalamic and brainstem regions are important for the expression of PS and its defining variables.

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Eder, Derek N. „A naturalistic study of sleep regulation in seasonal affective disorder : SAD, asleep, and unresponsive /“. Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/9072.

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D'Agnese, Mattiangelo. „Sleep-wake cycle: a new analysis for the two-step process model“. Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19307/.

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Il ciclo sonno-veglia é oggetto di studio per molti scienziati e matematici da più di trent’anni ma nonostante ciò molti quesiti non trovano ancora una risposta. Capire i meccanismi e le dinamiche del ciclo sonno-veglia è un problema molto importante perché le sue alterazioni possono avere conseguenze significative sulla salute umana. In questo lavoro viene presentato un modello matematico, con basi biologiche, del ciclo sonno-veglia. La principale novità rispetto ai modelli precedenti è l’utilizzo di un accurato modello neuronale, il modello di Hodgkin-Huxley, che permette di descrivere il sistema usando connessioni sinaptiche realistiche. Crediamo fermamente che questo argomento meriti una investigazione dettagliata, non solo per il contenuto fisico e matematico, ma anche per il suo potenziale impatto sulla ricerca nel campo della sanità.

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Yu, Xiao. „Histamine at the intersection of the sleep-wake cycle and circadian rhythms“. Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/26596.

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Histamine is central in sleep-wake regulation. First, I mapped the distribution of histamine producing neurons in the adult brain using genetic approaches. Second, to further explore the histaminergic system, I found that a local circadian clock regulates the expression of histidine decarboxylase (HDC), the enzyme producing histamine in hypothalamic neurons. The level of this enzyme varies with time of day and is up-regulated by sleep deprivation. I disrupted this local clock by using HDC-Cre recombinase by deleting BMAL1, the transciption factor central to circadian rhythms, selectively in histaminergic neurons, generating HDC-Bmal1 mice. Hdc gene expression in HDC-Bmal1 mice showed a disrupted 24-hour rhythm. This greatly affected natural sleep and reduced recovery sleep after sleep deprivation. Third, the HDC-neurons contain GABA. To understand the role of this GABA, I used different AAVs carrying shRNAs to deliver into the brain to knock down vesicular GABA transporter (vGAT) in histaminergic neurons. Reducing vGAT in HDC-neurons increased general activity and wakefulness in mice; moreover, these GABA in HDC-neurons contributed to recovery sleep after sleep deprivation. To further investigate the mechanism, we conducted an optogenetic method by delivering Channelrhodopsins (ChR2) into the HDC-neurons. We found that photostimulating tuberomamillary nucleus (TMN) fibers in neocortex and striatum triggered GABA release. Thus the decrease of ambient GABA might contribute to the phenotype that we observed in HDC-vGAT knock down mice. In summary, I identified a local 'histaminergic clock' that regulates HDC levels, and is necessary for maintaining appropriate sleep-wake cycle architecture as well as sleep homeostasis. I also found GABA produced by HDC-neurons is necessary for regulating the normal behavioral state.

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Assadzadeh, Sahand. „Large-Scale Brain Dynamics: Plasticity and States of Consciousness“. Thesis, University of Sydney, 2018. https://hdl.handle.net/2123/23708.

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The brain is a complex system that exhibits rich multiscale dynamics. Large-scale activity in this system are readily observable by a range of methods including electroencephalography (EEG). Changes to the global state of the brain, including arousal states such as wakeful consciousness and its temporary disappearance with sleep onset, are associated with major changes in brain electric activity as seen in the EEG. However, the purpose of the sleep state, which involves widespread changes in activity that occur in the brain, remains a matter of debate, especially because very little content of the brain activity that occurs during sleep directly enters conscious awareness. Analysis of EEG using modeling approaches has been highly successful at relating large scale brain physiology to experimental observations. In particular, physiologically based modeling addresses significant issues that commonly arise in high-dimensional models, by constraining each parameter on the basis of experimental data, and by providing a physiologically meaningful interpretation of all model parameters. One class of brain models is based on neural field theory, which averages the properties of neurons over short temporal and spatial scales to form continuous fields that represent neural activity. These models are ideally suited to EEG comparison and analysis because the EEG reflects the combined activity of millions of individual neurons. This thesis uses an established neural field model of the brain to investigate large-scale synaptic plasticity over a range of brain states. In particular, the model is used to investigate the synaptic homeostasis hypothesis, which postulates that sleep is necessary for long-term synaptic stability. The same biophysical model is also used to estimate physiological quantities in various disorders of consciousness.

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Reid, Kathryn J. „Measuring adaption to shiftwork /“. Title page, contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phr3561.pdf.

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Martin, Jennifer Lynn. „Aging and sleep in schizophrenia patients and normal comparison subjects : subjective reports and objective findings /“. Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2002. http://wwwlib.umi.com/cr/ucsd/fullcit?p3049676.

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Haynes, Patricia L. „Circadian impact of psychosocial factors in depression /“. Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2003. http://wwwlib.umi.com/cr/ucsd/fullcit?p3094609.

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Bücher zum Thema "Sleep-wake cycle"

Yamamoto, Daisuke. Suimin rizumu to tainai-dokei no hanashi. Tōkyō: Nikkan Kōgyō Shinbunsha, 2005.

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Stefan, Leber, Hrsg. Der Rhythmus von Schlafen und Wachen: Seine Bedeutung im Kindes- und Jugendalter. Stuttgart: Verlag Freies Geistesleben, 1990.

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Salzarulo, Piero, und Gianluca Ficca, Hrsg. Awakening and Sleep–Wake Cycle Across Development. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/aicr.38.

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Mezrah, Shari. The baby sleeps tonight: Your infant sleeping through the night by 9 weeks (yes, really!). Naperville, Ill: Sourcebooks, 2010.

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Mezrah, Shari. The baby sleeps tonight: Your infant sleeping through the night by 9 weeks (yes, really!). Naperville, Ill: Sourcebooks, 2010.

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Karmanova, I. G. Sleep: Evolution and disorders. Lanham, Md: University Press of America, 1999.

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National Center on Sleep Disorders Research (National Heart, Lung, and Blood Institute), American Sleep Disorders Association und G.D. Searle & Co., Hrsg. Problem sleepiness in your patient. [Bethesda, Md.]: National Institutes of Health, National Heart, Lung, and Blood Institute, National Center on Sleep Disorders Research, 1997.

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National Center on Sleep Disorders Research (National Heart, Lung, and Blood Institute), American Sleep Disorders Association und G.D. Searle & Co., Hrsg. Problem sleepiness in your patient. [Bethesda, Md.]: National Institutes of Health, National Heart, Lung, and Blood Institute, National Center on Sleep Disorders Research, 1997.

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National Center on Sleep Disorders Research (National Heart, Lung, and Blood Institute), American Sleep Disorders Association und Wyeth-Ayerst Laboratories, Hrsg. Insomnia, assessment and management in primary care. [Bethesda, Md.]: National Center on Sleep Disorders Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 1998.

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National Heart, Lung, and Blood Institute, Hrsg. Facts about problem sleepiness. [Bethesda, MD: National Institutes of Health, National Heart, Lung, and Blood Institute, 1997.

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Buchteile zum Thema "Sleep-wake cycle"

Bierbrauer, J., und L. Hilwerling. „Sleep and Wake Cycle“. In Dopamine in the CNS II, 491–506. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-06765-9_15.

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Adrien, J. „Neurobiology of the sleep-wake cycle“. In Sleep, 31–43. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0217-3_3.

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Cardinali, Daniel Pedro. „Sleep/Wake Cycle: History and Facts“. In Ma Vie en Noir, 33–51. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41679-3_4.

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Garc�a-Garc�a, F., und R. Drucker-Col�n. „Nutritional Impact on Sleep-Wake Cycle“. In Nestl� Nutrition Workshop Series: Clinical & Performance Program, 189–99. Basel: KARGER, 2001. http://dx.doi.org/10.1159/000061851.

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Fagioli, Igino, Gianluca Ficca und Piero Salzarulo. „Awakening and sleep-wake cycle in infants“. In Awakening and Sleep–Wake Cycle Across Development, 95–114. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/aicr.38.09fag.

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Zamboni, G., E. Perez und R. Amici. „Biochemical Approach to the Wake-Sleep Cycle“. In Somatic and Autonomic Regulation in Sleep, 3–24. Milano: Springer Milan, 1997. http://dx.doi.org/10.1007/978-88-470-2275-1_1.

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Ficca, Gianluca. „Awakening from infants’ sleep“. In Awakening and Sleep–Wake Cycle Across Development, 47–62. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/aicr.38.05fic.

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Sadeh, Avi. „Sleep fragmentation and awakening during development“. In Awakening and Sleep–Wake Cycle Across Development, 199–211. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/aicr.38.17sad.

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Salzarulo, Piero. „Awakening“. In Awakening and Sleep–Wake Cycle Across Development, 1–5. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/aicr.38.01sal.

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Hopkins, Brian. „Development of wakefulness“. In Awakening and Sleep–Wake Cycle Across Development, 7–22. Amsterdam: John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/aicr.38.03hop.

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Konferenzberichte zum Thema "Sleep-wake cycle"

Arsenyev, Gleb, Tatyana Zenchenko, Olga Tkachenko und Vladimir Dorokhov. „EFFECT AT SLEEP-WAKE CYCLE OF GEOMAGNETIC FACTORS IN MICE“. In XVI International interdisciplinary congress "Neuroscience for Medicine and Psychology". LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m923.sudak.ns2020-16/72-73.

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Anishchenko, L. N., und E. M. Rutskova. „Estimation of rat's sleep-wake cycle using a bio-radar“. In 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2017. http://dx.doi.org/10.1109/iceaa.2017.8065281.

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Qayum, Salman, Laura Melissari, Balazs Csoma, Maria Mascareno Ponte, John Blaikley, Mahmoud Barakat und Andras Bikov. „Sleep-wake cycle and the burden of comorbidities in patients with and without obstructive sleep apnoea“. In ERS International Congress 2023 abstracts. European Respiratory Society, 2023. http://dx.doi.org/10.1183/13993003.congress-2023.pa3004.

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Chen, Shanshan, Robert Perera, Matthew M. Engelhard, Jessica R. Lunsford-Avery, Scott H. Kollins und Bernard F. Fuemmeler. „A Generic Algorithm for Sleep-Wake Cycle Detection using Unlabeled Actigraphy Data“. In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, 2019. http://dx.doi.org/10.1109/bhi.2019.8834568.

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Merkulova, Ksenia O., und Dmitry E. Postnov. „The dynamical premise for desynchrony between circadian rhythm and the sleep-wake cycle“. In Computations and Data Analysis: from Molecular Processes to Brain Functions, herausgegeben von Dmitry E. Postnov. SPIE, 2021. http://dx.doi.org/10.1117/12.2590413.

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Kondratieva, Ekaterina, Lyudmila Korostovtseva, Ivan Ternovykh, Mikhail Bochkarev, Sergey Kondratiev, Maria Frolova, Tatiana Alekseeva et al. „P065 Sleep-wake cycle and melatonin levels in patients with disorders of consciousness“. In BSS Scientific Conference Abstract Book, Birmingham, England. British Thoracic Society, 2019. http://dx.doi.org/10.1136/bmjresp-2019-bssconf.65.

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Quoc, Khai Le, Linh Nguyen Khac Hoai, Tran Nguyen Thi Bao und Linh Huynh Quang. „Optimal Wake-Up Time Determination Based on Sleep Cycle Analysis of Electroencephalography Signals“. In 2023 1st International Conference on Health Science and Technology (ICHST). IEEE, 2023. http://dx.doi.org/10.1109/ichst59286.2023.10565308.

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Shope, Rebecca A., Mandy L. Harris, Stephen F. Kralik, Chang Y. Ho und Ulrike Mietzsch. „Sleep-wake-cycle as a Tool to Predict Neurodevelopmental Outcome in Neonates Treated with Ecmo“. In Selection of Abstracts From NCE 2016. American Academy of Pediatrics, 2018. http://dx.doi.org/10.1542/peds.141.1_meetingabstract.560.

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Verbitsky, Evgeny. „THE STUDY OF GLIAL CELLS LEADS TO A NEW UNDERSTANDING OF THE SLEEP-WAKE CYCLE“. In XVIII INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2022. http://dx.doi.org/10.29003/m2708.sudak.ns2022-18/90-91.

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Glushko, Anatoly, Sergey Koporov, Eugeny Bryun und Elena Panina. „ELECTRICAL INSTABILITY OF THE BRAIN AND DISSOLUTION OF THE WAKE-SLEEP CYCLE FOR ADDICTIVE SPECTRUM DISORDERS“. In XIX INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2023. http://dx.doi.org/10.29003/m3211.sudak.ns2023-19/92-94.

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Berichte der Organisationen zum Thema "Sleep-wake cycle"

Moore-Ede, Martin C. Pharmacological Resetting of the Circadian Sleep-Wake Cycle. Fort Belvoir, VA: Defense Technical Information Center, Mai 1986. http://dx.doi.org/10.21236/ada170804.

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Xue, Jianjun, Ziqing Xu, Huaijing Hou und Jie Zhang. Systematic Review/Meta-Analysis on the Role of CB1R Regulation in Sleep-Wake Cycle in Rats. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, Mai 2024. http://dx.doi.org/10.37766/inplasy2024.5.0019.

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Boulos, Z., und M. C. Moore-Ede. Pharmacological Resetting of the Circadian Sleep-Wake Cycle Effects of Triazolam on Reentrainment of Circadian Rhythms in a Diurnal Primate. Fort Belvoir, VA: Defense Technical Information Center, Juni 1990. http://dx.doi.org/10.21236/ada224227.

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