Physiology in Sleep

Total Page:16

File Type:pdf, Size:1020Kb

Physiology in Sleep Physiology in Sleep Section Gilles Lavigne 4 17 Relevance of Sleep 21 Respiratory Physiology: 26 Endocrine Physiology in Physiology for Sleep Central Neural Control Relation to Sleep and Medicine Clinicians of Respiratory Neurons Sleep Disturbances 18 What Brain Imaging and Motoneurons during 27 Gastrointestinal Reveals about Sleep Sleep Physiology in Relation to Generation and 22 Respiratory Physiology: Sleep Maintenance Understanding the 28 Body Temperature, 19 Cardiovascular Control of Ventilation Sleep, and Hibernation Physiology: Central and 23 Normal Physiology of 29 Memory Processing in Autonomic Regulation the Upper and Lower Relation to Sleep 20 Cardiovascular Airways 30 Sensory and Motor Physiology: Autonomic 24 Respiratory Physiology: Processing during Sleep Control in Health and in Sleep at High Altitudes and Wakefulness Sleep Disorders 25 Sleep and Host Defense Relevance of Sleep Physiology for Chapter Sleep Medicine Clinicians Gilles Lavigne 17 Abstract a process that is integral to patient satisfaction and well The physiology section of this volume covers a wide spectrum being. A wider knowledge of physiology will also assist clini- of very precise concepts from molecular and behavioral genet- cians in clarifying new and relevant research priorities for ics to system physiology (temperature control, cardiovascular basic scientists or public health investigators. Overall, the and respiratory physiology, immune and endocrine functions, development of enhanced communication between health sensory motor neurophysiology), integrating functions such as workforces will promote the rapid transfer of relevant clinical mental performance, memory, mood, and wake time physical issues to scientists, of new findings to the benefit of patients. functioning. An important focus has been to highlight the At the same time, good communication will keep clinicians in relevance of these topics to the practice of sleep medicine. A step with the expanding field of sleep medicine and will make keener understanding of physiological dysfunction helps clini- them well prepared to face the growing challenges in public cians to explain to patients how to cope with a sleep disorder, health issues. Why do doctors and scientists need to understand sleep physiology has resulted in innovations in the pharma- physiology? A thorough knowledge of sleep physiology is ceutical industry and in the design of diagnostic and central to improved accuracy and validity in the develop- therapeutic devices (e.g., recording and scoring systems, ment of diagnostic tools, to making innovations in patient continuous positive airway pressure, mandibular advance- management, and to keeping abreast of leading edge devel- ment appliances). But governmental agencies only grant opments in sleep medicine. For some clinicians, reading permission to market a given product following epide- chapters in sleep physiology may recall early years of train- miological findings, explorations of physiological and ing, but these days physiology is an integral part of many pathological mechanisms, and randomized control trials advancements in clinical practice (e.g., breathing and car- demonstrating efficacy and safety. The absence of objec- diovascular measurements, brain imaging), and it forms tive and valid measures to assess sleep improvement and the basis of translating genetics and proteomics into inno- safety can prevent developments and innovation from vation in diagnosis and therapeutics. being integrated into sleep medicine practices. Although The impact of poor sleep and of several sleep disorders questionnaires are used to screen patients for many sleep on societal and economic health is interrelated1; health disorders, it is the physiological (e.g., hormonal-endocrine governmental agencies are extremely sensitive to discover- release, heart rate by electrocardiogram, brain activity by ies that may improve the population’s quality of life and electroencephalography) and psychophysiological (reac- reduce health care costs. A greater understanding of sleep tion time, multiple sleep latency test, sensory perception) L 199 200 PART I / Section 4 • Physiology in Sleep measures that confirm the accuracy and validity of the understanding the clinical disorders described in this concepts. volume. In other words, we hope they will provide some Clinical science progresses sequentially. For example, answers about how disease affects physiology, how inter- using questionnaires, the prevalence of nonrestorative ventions work, why they do not work, and what remains sleep has been reported at 10% in the general population.2 to be done. Future editions of this volume will probably With polygraphy, the consequences of that nonrestorative integrate more knowledge on the relevance of nano infor- sleep consequences are characterized,3,4 interindividual mation, such as molecular and synaptic homeostasis,12 trait differences may be identified,5 and phenotypic deter- micro information, such as how tractography imaging is minants of vulnerability also recognized.6 used to assess cortical and brainstem networking activity The identification of gene polymorphism related to spe- during sleep or using mathematical modelling,13 and macro cific sleep disorders is another domain of intense interest information that integrates behavior with sleep disorders (see Section 3 of this volume). We are already in the post- and addresses issues related to cognition and placebo influ- genomic era with the advent of proteomics: the science of ence on sleep.14-17 protein characterization in relation to biological activity or 7 disorder/disease. Most sleep disorders, such as insomnia, REFERENCES sleep breathing disorders (e.g., sleep apnea), parasomnia 1. Léger D, Pandi-Perumal SR, editors. Sleep disorders—their impact (e.g., sleepwalking, enuresis, REM behavior disorder on public health. London, UK: Informa Healthcare; 2007. [RBD]), sleep-related movement disorders (e.g., restless 2. Ohayon M. Prevalence and risk factors of morning headaches in the leg syndrome/periodic limb movement), and circadian general population. Arch Intern Med 2004;164:97-102. rhythm sleep disorders have genetic and/or molecular 3. Bonnet MH, Arand DL. Clinical effects of sleep fragmentation 8,9 versus sleep deprivation. Sleep Med Rev 2003;7:297-310. targets that provide possible new avenues in therapeutics. 4. Stone KC, Taylor DJ, McCrae CS, et al. Nonrestorative sleep. Sleep Genetic epidemiology is a growing field that integrates all Med Rev 2008;12:275-288. aspects of physiology to further identify targets (gene loci), 5. Tucker AM, Dinges DF, Van Dongen HP. Trait interindividual and variance related to individuals and environments.10,11 differences in the sleep physiology of healthy young adults. J Sleep Res 2007;16:170-180. Physiology provides the tools with which sleep disorders 6. Galliaud E, Taillard J, Saqaspe P, et al. Sharp and sleepy: evidence may be phenotyped and genetics advances the clinical for dissociation between sleep pressure and nocturnal performance. domain by identifying risk or vulnerability factors. The J Sleep Res 2008;17:11-15. combination makes for innovative approaches to therapy. 7. Choudhary J, Grant SG. Proteomics in postgenomic neuroscience: This section updates some chapters from the previous the end of the beginning. Nat Neurosci 2004;7(5):440-445. 8. Tafti M, Maret S, Dauvilliers Y. Genes for normal sleep and sleep edition related to cardiovascular, respiratory, immune, disorders. Ann Med 2005;37:580-589. endocrine, gastrointestinal, and thermoregulatory mecha- 9. Wisor JP, Kilduff TS. Molecular genetic advances in sleep research nisms. In addition there are new chapters on the contribu- and their relevance to sleep medicine. Sleep 2005;28:357-367. tion of brain imaging to the understanding of sleep 10. Hublin C, Kaprio J. Genetic aspects and genetic epidemiology of parasomnias. Sleep Med Rev 2003;7:413-421. physiology (Chapter 18), a description of the relevance of 11. Koskenvuo M, Hublin C, Partinen M, et al. Heritability of diurnal autonomic-cardiovascular measures and their meaning in type: a nationwide study of 8753 adult twin pairs. J Sleep Res sleep medicine (Chapter 20), the mechanisms that regulate 2007;16:156-162. breathing and the relevance of respiratory measures in 12. Tononi G, Cirelli C. Sleep function and synaptic homeostasis. Sleep sleep medicine (Chapters 21 and 23), the extension of Med Rev 2006;10:49-62. 13. Phillips AJK, Robinson PA. A quantitative model of sleep-wake endocrinology to obesity and women’s sleep issues dynamics based on the physiology of the brainstem ascending arousal (Chapter 26), the potential impact of thermoregulation on system. J Biol Rhythms 2007;22:167-179. nonrestorative sleep management (Chapter 28), the circu- 14. Gagnon JF, Postuma RB, Mazza S, et al. Rapid-eye-movement sleep lar relationship between sleep and memory-learning behaviour disorder and neurodegenerative diseases. Lancet Neurol 2006;5:424-432. (Chapter 29), the role of sensory-motor integration on the 15. Boelmans K, Kaufmann J, Bodammer N, et al. Involvement of motor control of breathing and sleep breathing disorders, on pathways in corticobasal syndrome detected by diffusion tensor trac- motor parasomnia or movement disorders, and on ways tography. Mov Disord 2009;24:168-175. in which sensory feedback interferes with sleep in relation 16. Scott DJ, Stohler CS, Egnatuk CM, et al. Placebo and nocebo effects to periodic limb movement, RBD, pain, and bruxism are defined by opposite opioid
Recommended publications
  • Cognitive and Emotional Processes During Dreaming
    Consciousness and Cognition 20 (2011) 998–1008 Contents lists available at ScienceDirect Consciousness and Cognition journal homepage: www.elsevier.com/locate/concog Cognitive and emotional processes during dreaming: A neuroimaging view q ⇑ ⇑ Martin Desseilles a,b,c, , Thien Thanh Dang-Vu c,d,e, Virginie Sterpenich a,f, Sophie Schwartz a,f, a Geneva Center for Neuroscience, University of Geneva, Switzerland b Psychiatry Department, University of Geneva, Switzerland c Cyclotron Research Centre, University of Liège, Belgium d Division of Sleep Medicine, Harvard Medical School, Boston, USA e Department of Neurology, Massachusetts General Hospital, Boston, USA f Swiss Center for Affective Sciences, University of Geneva, Switzerland article info abstract Article history: Dream is a state of consciousness characterized by internally-generated sensory, cognitive Available online 12 November 2010 and emotional experiences occurring during sleep. Dream reports tend to be particularly abundant, with complex, emotional, and perceptually vivid experiences after awakenings Keywords: from rapid eye movement (REM) sleep. This is why our current knowledge of the cerebral Dreaming correlates of dreaming, mainly derives from studies of REM sleep. Neuroimaging results Sleep show that REM sleep is characterized by a specific pattern of regional brain activity. We Rapid eye movement (REM) demonstrate that this heterogeneous distribution of brain activity during sleep explains Functional neuroimaging many typical features in dreams. Reciprocally, specific dream characteristics suggest the Neuropsychology Cognitive neuroscience activation of selective brain regions during sleep. Such an integration of neuroimaging data Brain of human sleep, mental imagery, and the content of dreams is critical for current models of Amygdala dreaming; it also provides neurobiological support for an implication of sleep and dream- ing in some important functions such as emotional regulation.
    [Show full text]
  • State-Dependent Pontine Ensemble Dynamics and Interactions With
    bioRxiv preprint doi: https://doi.org/10.1101/752683; this version posted September 2, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 State-dependent pontine ensemble dynamics and 2 interactions with cortex across sleep states 3 4 Tomomi Tsunematsu1,2,3, Amisha A Patel1, Arno Onken4, Shuzo Sakata1 5 6 1 Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 7 Cathedral Street, Glasgow G4 0RE, UK 8 2 Super-network Brain Physiology, Graduate School of Life Sciences, Tohoku University, Sendai 9 980-8577, Japan 10 3 Precursory Research for Embryonic Science and Technology, Japan Science and Technology 11 Agency, Kawaguchi 332-0012, Japan 12 4 School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK 13 Correspondence ([email protected]) 14 15 Abstract 16 The pontine nuclei play a crucial role in sleep-wake regulation. However, pontine ensemble 17 dynamics underlying sleep regulation remain poorly understood. By monitoring population 18 activity in multiple pontine and adjacent brainstem areas, here we show slow, state-predictive 19 pontine ensemble dynamics and state-dependent interactions between the pons and the 20 cortex in mice. On a timescale of seconds to minutes, pontine populations exhibit diverse 21 firing across vigilance states, with some of these dynamics being attributed to cell type- 22 specific activity. Pontine population activity can predict pupil dilation and vigilance states: 23 pontine neurons exhibit longer predictable power compared with hippocampal neurons.
    [Show full text]
  • Quantitative EEG (QEEG) Analysis of Emotional Interaction Between Abusers and Victims in Intimate Partner Violence: a Pilot Study
    brain sciences Article Quantitative EEG (QEEG) Analysis of Emotional Interaction between Abusers and Victims in Intimate Partner Violence: A Pilot Study Hee-Wook Weon 1, Youn-Eon Byun 2 and Hyun-Ja Lim 3,* 1 Department of Brain & Cognitive Science, Seoul University of Buddhism, Seoul 08559, Korea; [email protected] 2 Department of Youth Science, Kyonggi University, Suwon 16227, Korea; [email protected] 3 Department of Community Health & Epidemiology, University of Saskatchewan, Saskatoon, SK S7N 2Z4, Canada * Correspondence: [email protected] Abstract: Background: The perpetrators of intimate partner violence (IPV) and their victims have different emotional states. Abusers typically have problems associated with low self-esteem, low self-awareness, violence, anger, and communication, whereas victims experience mental distress and physical pain. The emotions surrounding IPV for both abuser and victim are key influences on their behavior and their relationship. Methods: The objective of this pilot study was to examine emotional and psychological interactions between IPV abusers and victims using quantified electroencephalo- gram (QEEG). Two abuser–victim case couples and one non-abusive control couple were recruited from the Mental Image Recovery Program for domestic violence victims in Seoul, South Korea, from Citation: Weon, H.-W.; Byun, Y.-E.; 7–30 June 2017. Data collection and analysis were conducted using BrainMaster and NeuroGuide. Lim, H.-J. Quantitative EEG (QEEG) The emotional pattern characteristics between abuser and victim were examined and compared to Analysis of Emotional Interaction those of the non-abusive couple. Results: Emotional states and reaction patterns were different for between Abusers and Victims in the non-abusive and IPV couples.
    [Show full text]
  • The Genesis of Obstructive Sleep Apnea JAOA • Vol 100 • No 8 • Supplement to August 2000 • S1 Table 1 Characteristics of Sleep Stages*
    major findings is that OSA contributes an independent risk for the development of Sleep and breathing cardiovascular disease after accounting for other known risk factors. Conse- disorders: the genesis quently, the identification of these dis- of obstructive sleep apnea orders and their treatment may help to prevent morbidity and mortality. The prevalence of these disorders poses sig- BRIAN H. FORESMAN, DO nificant issues for the primary care physi- cians. Sleep physiology Basic sleep physiology, although rarely Sleep encompasses approximately a third of our lives; however, sleep and the discussed in osteopathic medical schools, disorders of sleep are not widely understood. Data suggest that sleep plays a is essential in the understanding of OSA restorative role in physiologic mechanisms and that long-term disruption of sleep and related disorders. Sleep is classified may contribute to the development of disease. Nearly a third of the adult popu- in two major states: non–rapid-eye-move- lation is chronically afflicted by sleep disorders, and substantial economic loss is ment (non-REM) sleep and REM sleep. attributable to these disorders in terms of lost time, inefficiency, and accidents. Of Non-REM sleep comprises stages 1, 2, 3, the sleep disorders, obstructive sleep apnea (OSA) is one of the more common, clin- and 4. Stages 3 and 4 comprise slow- ically affecting up to 5% of the adult population. Obstructive sleep apnea con- wave sleep and are characterized as deep tributes to the development of disease and has an adverse impact on daytime sleep. As one progresses from stage 1 to functioning in those affected by the disease.
    [Show full text]
  • QUANTITATIVE BRAIN ELECTRICAL ACTIVITY in the INITIAL SCREENING of MILD TRAUMATIC BRAIN INJURIES AFTER BLAST By
    Wayne State University Wayne State University Theses 1-1-2015 Quantitative Brain Electrical Activity In The nitI ial Screening Of Mild Traumatic Brain Injuries After Blast Chengpeng Zhou Wayne State University, Follow this and additional works at: http://digitalcommons.wayne.edu/oa_theses Part of the Biomedical Engineering and Bioengineering Commons Recommended Citation Zhou, Chengpeng, "Quantitative Brain Electrical Activity In The nitI ial Screening Of Mild Traumatic Brain Injuries After Blast" (2015). Wayne State University Theses. Paper 442. This Open Access Thesis is brought to you for free and open access by DigitalCommons@WayneState. It has been accepted for inclusion in Wayne State University Theses by an authorized administrator of DigitalCommons@WayneState. QUANTITAITVE BRAIN ELECTRICAL ACTIVITY IN THE INITIAL SCREENING OF MILD TRAUMATIC BRAIN INJURIES AFTER BLAST by CHENGPENG ZHOU THESIS Submitted to the Graduate School of Wayne State University, Detroit, Michigan in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE 2015 MAJOR: BIOMEDICAL ENGINEERING Approved by: ____________________________________ Advisor Date © COPYRIGHT BY CHENGPENG ZHOU 2015 All Rights Reserved DEDICATION I dedicate my work to my family ii ACKNOWLEDGEMENTS First and foremost, I would like to thank God for giving me the strength to go through the Master journey in Biomedical Engineering. I would like to thank my mother, Mrs. Jurong Chen, for her love and constant support. I can finish my work today, because she was always ready to give everything! Thank you for your selfless love; you give me strength to continue my work and study. I would like to thank Dr. Chaoyang Chen, my mentor and my advisor, for giving me the chance to work in his lab.
    [Show full text]
  • Regional Delta Waves in Human Rapid Eye Movement Sleep
    2686 • The Journal of Neuroscience, April 3, 2019 • 39(14):2686–2697 Systems/Circuits Regional Delta Waves In Human Rapid Eye Movement Sleep X Giulio Bernardi,1,2 XMonica Betta,2 XEmiliano Ricciardi,2 XPietro Pietrini,2 Giulio Tononi,3 and X Francesca Siclari1 1Center for Investigation and Research on Sleep, Lausanne University Hospital, CH-1011 Lausanne, Switzerland, 2MoMiLab Research Unit, IMT School for Advanced Studies, IT-55100 Lucca, Italy, and 3Department of Psychiatry, University of Wisconsin, Madison, Wisconsin 53719 Although the EEG slow wave of sleep is typically considered to be a hallmark of nonrapid eye movement (NREM) sleep, recent work in mice has shown that slow waves can also occur in REM sleep. Here, we investigated the presence and cortical distribution of negative delta (1–4 Hz) waves in human REM sleep by analyzing high-density EEG sleep recordings obtained in 28 healthy subjects. We identified two clusters of delta waves with distinctive properties: (1) a frontal-central cluster characterized by ϳ2.5–3.0 Hz, relatively large, notched delta waves (so-called “sawtooth waves”) that tended to occur in bursts, were associated with increased gamma activity and rapid eye movements (EMs), and upon source modeling displayed an occipital-temporal and a frontal-central component and (2) a medial- occipital cluster characterized by more isolated, slower (Ͻ2 Hz), and smaller waves that were not associated with rapid EMs, displayed a negative correlation with gamma activity, and were also found in NREM sleep. Therefore, delta waves are an integral part of REM sleep in humans and the two identified subtypes (sawtooth and medial-occipital slow waves) may reflect distinct generation mechanisms and functional roles.
    [Show full text]
  • Learning Alters Theta-Nested Gamma Oscillations in Inferotemporal Cortex
    Learning alters theta-nested gamma oscillations in inferotemporal cortex Keith M Kendrick1, Yang Zhan1, Hanno Fischer1 Ali U Nicol1 Xuejuan Zhang 2 & Jianfeng Feng3 1Cognitive and Behavioural Neuroscience, The Babraham Institute, Cambridge, CB22 3AT, UK 2Mathematics Department, Zhejiang Normal University, Jinhua 321004, Zhejian Province, PR China 3Department of Computer Science, Warwick University, Coventry CV4 7AL UK and Centre for Computational Systems Biology, Fudan University, Shanghai, PR China. Corresponding authors: [email protected] [email protected] 1 How coupled brain rhythms influence cortical information processing to support learning is unresolved. Local field potential and neuronal activity recordings from 64- electrode arrays in sheep inferotemporal cortex showed that visual discrimination learning increased the amplitude of theta oscillations during stimulus presentation. Coupling between theta and gamma oscillations, the theta/gamma ratio and the regularity of theta phase were also increased, but not neuronal firing rates. A neural network model with fast and slow inhibitory interneurons was developed which generated theta nested gamma. By increasing N-methyl-D-aspartate receptor sensitivity similar learning-evoked changes could be produced. The model revealed that altered theta nested gamma could potentiate downstream neuron responses by temporal desynchronization of excitatory neuron output independent of changes in overall firing frequency. This learning-associated desynchronization was also exhibited by inferotemporal cortex neurons. Changes in theta nested gamma may therefore facilitate learning-associated potentiation by temporal modulation of neuronal firing. The functions of both low and high frequency oscillations in the brain have been the subject of considerable speculation1. Low frequency theta oscillations (4-8Hz) have been observed to increase in terms of power and phase-locked discharge of single neurons in a visual memory task2.
    [Show full text]
  • Michelia Essential Oil Inhalation Increases Fast Alpha Wave Activity
    Scientia Pharmaceutica Article Michelia Essential Oil Inhalation Increases Fast Alpha Wave Activity Phanit Koomhin 1,2,3,*, Apsorn Sattayakhom 2,4, Supaya Chandharakool 4, Jennarong Sinlapasorn 4, Sarunnat Suanjan 4, Sarawoot Palipoch 1, Prasit Na-ek 1, Chuchard Punsawad 1 and Narumol Matan 2,5 1 School of Medicine, Walailak University, Nakhonsithammarat 80160, Thailand; [email protected] (S.P.); [email protected] (P.N.-e.); [email protected] (C.P.) 2 Center of Excellence in Innovation on Essential oil, Walailak University, Nakhonsithammarat 80160, Thailand; [email protected] (A.S.); [email protected] (N.M.) 3 Research Group in Applied, Computational and Theoretical Science (ACTS), Walailak University, Nakhonsithammarat 80160, Thailand 4 School of Allied Health Sciences, Walailak University, Nakhonsithammarat 80160, Thailand; [email protected] (S.C.); [email protected] (J.S.); [email protected] (S.S.) 5 School of Agricultural Technology, Walailak University, Nakhonsithammarat 80160, Thailand * Correspondence: [email protected]; Tel.: +66-95295-0550 Received: 13 February 2020; Accepted: 6 May 2020; Published: 9 May 2020 Abstract: Essential oils are volatile fragrance liquids extracted from plants, and their compound annual growth rate is expected to expand to 8.6% from 2019 to 2025, according to Grand View Research. Essential oils have several domains of application, such as in the food and beverage industry, in cosmetics, as well as for medicinal use. In this study, Michelia alba essential oil was extracted from leaves and was rich in linalool components as found in lavender and jasmine oil.
    [Show full text]
  • Sleeplessness and Health Sunitha V, Jeyastri Kurushev, Felicia Chitra and Manjubala ISSN Dash* 2640-2882 MTPG and RIHS, Puducherry, India
    Open Access Insights on the Depression and Anxiety Review Article Sleeplessness and health Sunitha V, Jeyastri Kurushev, Felicia Chitra and Manjubala ISSN Dash* 2640-2882 MTPG and RIHS, Puducherry, India *Address for Correspondence: Dr. Manjubala Abstract Dash, MTPG and RIHS, Professor in Nursing, Puducherry, India, Tel: +91-9894330940; Email: Sleep infl uences each intellectual and physical health. It’s essential for a person’s well-being. [email protected] The reality is when we see at well-rested people, they’re working at an exclusive degree than people Submitted: 27 March 2019 making an attempt to get by way of on 1 or 2 hours much less nightly sleep. Loss of sleep impairs Approved: 29 April 2019 your higher tiers of reasoning, problem-solving and interest to detail. Sleep defi cit will additionally Published: 30 April 2019 make people much less productive and put them at higher danger for creating depression. Sleep affects almost each tissue in our bodies. It infl uences growth and stress hormones, our immune Copyright: © 2019 Sunitha V, et al. This is system, appetite, breathing, blood pressure and cardiovascular health. Nurses play a foremost an open access article distributed under the function in teaching and guiding the sleep deprived patients on the importance of sleep and its Creative Commons Attribution License, which physiological and psychological effects. permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited Introduction Keywords: Sleep regulation; Sleep disorder; Treatment Sleep is a vital indicator of wholesome development and one of the bio-behavioural organizations. Sleep in younger children and adults, has been related both with modern and future signs of emotional and behavioural problem as nicely as cognitive development.
    [Show full text]
  • Sherrill; OSA, COPD, OHS Pptx
    Wm. Charles Sherrill, Jr. M.D. Medical Director, Presbyterian Sleep Health NC Respiratory Care Symposium September 12, 2012 [email protected] Discuss the normal respiratory changes which occur with sleep Discuss the impact of COPD on sleep Review the clinical presentation of obstructive sleep apnea Discuss the clinical significance of the overlap syndrome (COPD and OSA) Discuss obesity hypoventilation syndrome (OHS) Sudden death in the hospital Sleep Stages Non REM (NREM) Increase in parasympathetic activity Decrease in sympathetic activity Rapid Eye Movement (REM) Tonic phase Further Parasympathetic activity increase Phasic phase Sympathetic surge Control of breathing Metabolic (automatic) paCO2, paO2 Voluntary ( behavioral) Activity of Reticular Activating System (RAS) Brainstem tonic activity Both metabolic and voluntary are active in wake Sleep onset: voluntary (RAS) activity ceases; control of breathing metabolic only Normal Sleep Minute ventilation decreases Function of reduction in Tidal Volume, less Respiratory Rate PaCO2 increase 2-8 mmHg PaO2 decreases 3-10 mmHg; O2 saturation < 2%. Ventilation decrease is greatest in REM sleep Up to 40% reduction in ventilation esp phasic REM Both the hypoxic and hypercapnic ventilatory response decrease as sleep deepens. Upper airway resistance increases Level of palate and hypopharynx Increase 3-7 x wake Metabolism decreases: both VCO2 and VO2 Arousal responses are reduced in sleep PCO2 increase of 6-15 mmHg. SaO2 < 75% (normals) . Hypercapnea
    [Show full text]
  • The Bidirectional Relationship Between Obstructive Sleep Apnea and Metabolic Disease
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by epublications@Marquette Marquette University e-Publications@Marquette Biological Sciences Faculty Research and Biological Sciences, Department of Publications 8-6-2018 The idirB ectional Relationship Between Obstructive Sleep Apnea and Metabolic Disease Sarah N. Framnes Marquette University Deanna M. Arble Marquette University, [email protected] Published version. Frontiers in Endocrinology, Vol. 9, No. 440 (August 6, 2018). DOI. © 2018 Framnes and Arble. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. REVIEW published: 06 August 2018 doi: 10.3389/fendo.2018.00440 The Bidirectional Relationship Between Obstructive Sleep Apnea and Metabolic Disease Sarah N. Framnes and Deanna M. Arble* Department of Biological Sciences, Marquette University, Milwaukee, WI, United States Obstructive sleep apnea (OSA) is a common sleep disorder, effecting 17% of the total population and 40–70% of the obese population (1, 2). Multiple studies have identified OSA as a critical risk factor for the development of obesity, diabetes, and cardiovascular diseases (3–5). Moreover, emerging evidence indicates that metabolic disorders can exacerbate OSA, creating a bidirectional relationship between OSA and metabolic physiology. In this review, we explore the relationship between glycemic control, insulin, and leptin as both contributing factors and products of OSA.
    [Show full text]
  • Quantum Mind Meditation and Brain Science
    Quantum Mind Meditation and Brain Science PAUL DENNISON Published under the auspices of Rama IX Temple, Bangkok, July 2013, to mark the 2600-year anniversary of the Buddha’s enlightenment Quantum Mind Meditation and Brain Science Quantum Mind: Meditation and Brain Science © Paul Dennison Published 2013 under the auspices of Wat Phra Rama 9 Paendin Dhamma Foundation 999/9 Soi 19 Rama IX Road, Bang Kabi, Huai Khwang, Bangkok Thailand 10320 Tel: 0-2719-7676 Fax: 0-2719-7675 E-mail: [email protected] Printed and bound in Thailand by Sangsilp Press Ltd Part. 116/38-47 Rangnam Road, Thanon Phaya Thai, Ratchathewi, Bangkok Thailand 10400 Tel: 0-2642-4633-4 Fax:: 0-2245-9785 E-mail: [email protected] The front cover illustration is a combined view of the Antennae Galaxies, taken in 2011 by the ALMA Radio Telescope Array and the Hubble Space Telescope. Superposed is an EEG recording of the brain wave activity of a Samatha meditator recorded in 2010. Credit: ALMA (ESO/NAOJ/NRAO). Visible light image: the NASA/ESA Hubble Space Telescope. http://www.eso.org/public/images/eso1137a/ (Reproduced under the Creative Commons Attribution License) Contents Beginnings … Fast forward … Buddhist meditation comes West Samatha and Vipassanā meditation Jhāna An EEG study of Samatha meditation Quantum mind To be continued … Links and references Beginnings … Considering the precision and detail of Buddhist meditation traditions handed down, person to person, to this day, it is easy to not fully appreciate the very long time period involved, or the great achievement of Buddhist Sanghas worldwide in preserving the teachings.
    [Show full text]