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Postnova S, Sanz-Leon P. Sleep and circadian rhythms modeling: From hypothalamic regulatory networks to cortical dynamics and behavior. HANDBOOK OF CLINICAL NEUROLOGY 2025; 206:37-58. [PMID: 39864931 DOI: 10.1016/b978-0-323-90918-1.00013-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
Sleep and circadian rhythms are regulated by dynamic physiologic processes that operate across multiple spatial and temporal scales. These include, but are not limited to, genetic oscillators, clearance of waste products from the brain, dynamic interplay among brain regions, and propagation of local dynamics across the cortex. The combination of these processes, modulated by environmental cues, such as light-dark cycles and work schedules, represents a complex multiscale system that regulates sleep-wake cycles and brain dynamics. Physiology-based mathematical models have successfully explained the mechanisms underpinning dynamics at specific scales and are a useful tool to investigate interactions across multiple scales. They can help answer questions such as how do electroencephalographic (EEG) features relate to subthalamic neuron activity? Or how are local cortical dynamics regulated by the homeostatic and circadian mechanisms? In this chapter, we review two types of models that are well-positioned to consider such interactions. Part I of the chapter focuses on the subthalamic sleep regulatory networks and a model of arousal dynamics capable of predicting sleep, circadian rhythms, and cognitive outputs. Part II presents a model of corticothalamic circuits, capable of predicting spatial and temporal EEG features. We then discuss existing approaches and unsolved challenges in developing unified multiscale models.
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Affiliation(s)
- Svetlana Postnova
- School of Physics, Faculty of Science, University of Sydney, Camperdown, NSW, Australia; Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie Park, NSW, Australia; Charles Perkins Centre, University of Sydney, Camperdown, NSW, Australia.
| | - Paula Sanz-Leon
- School of Physics, Faculty of Science, University of Sydney, Camperdown, NSW, Australia
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Associations between time zone changes, travel distance and performance: A retrospective analysis of 2013–2020 National Hockey League Data. J Sci Med Sport 2022; 25:1008-1016. [DOI: 10.1016/j.jsams.2022.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 09/08/2022] [Accepted: 10/10/2022] [Indexed: 11/05/2022]
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Tekieh T, Lockley SW, Robinson PA, McCloskey S, Zobaer MS, Postnova S. Modeling melanopsin-mediated effects of light on circadian phase, melatonin suppression, and subjective sleepiness. J Pineal Res 2020; 69:e12681. [PMID: 32640090 DOI: 10.1111/jpi.12681] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/05/2020] [Accepted: 07/01/2020] [Indexed: 12/14/2022]
Abstract
A physiologically based model of arousal dynamics is improved to incorporate the effects of the light spectrum on circadian phase resetting, melatonin suppression, and subjective sleepiness. To account for these nonvisual effects of light, melanopic irradiance replaces photopic illuminance that was used previously in the model. The dynamic circadian oscillator is revised according to the melanopic irradiance definition and tested against experimental circadian phase resetting dose-response and phase response data. Melatonin suppression function is recalibrated against melatonin dose-response data for monochromatic and polychromatic light sources. A new light-dependent term is introduced into the homeostatic weight component of subjective sleepiness to represent the direct alerting effect of light; the new term responds to light change in a time-dependent manner and is calibrated against experimental data. The model predictions are compared to a total of 14 experimental studies containing 26 data sets for 14 different spectral light profiles. The revised melanopic model shows on average 1.4 times lower prediction error for circadian phase resetting compared to the photopic-based model, 3.2 times lower error for melatonin suppression, and 2.1 times lower error for subjective sleepiness. Overall, incorporating melanopic irradiance allowed simulation of wavelength-dependent responses to light and could explain the majority of the observations. Moving forward, models of circadian phase resetting and the direct effects of light on alertness and sleep need to use nonvisual photoreception-based measures of light, for example, melanopic irradiance, instead of the traditionally used illuminance based on the visual system.
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Affiliation(s)
- Tahereh Tekieh
- School of Physics, University of Sydney, Sydney, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
- Centre of Excellence for Integrative Brain Function, University of Sydney, Sydney, NSW, Australia
| | - Steven W Lockley
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Vic., Australia
| | - Peter A Robinson
- School of Physics, University of Sydney, Sydney, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
- Centre of Excellence for Integrative Brain Function, University of Sydney, Sydney, NSW, Australia
- Centre for Translational Sleep and Circadian Neurobiology, University of Sydney, Sydney, NSW, Australia
| | - Stephen McCloskey
- School of Physics, University of Sydney, Sydney, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
| | - M S Zobaer
- School of Physics, University of Sydney, Sydney, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
| | - Svetlana Postnova
- School of Physics, University of Sydney, Sydney, NSW, Australia
- Cooperative Research Centre for Alertness, Safety and Productivity, Melbourne, Vic., Australia
- Centre of Excellence for Integrative Brain Function, University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
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Piltz SH, Diniz Behn CG, Booth V. Habitual sleep duration affects recovery from acute sleep deprivation: A modeling study. J Theor Biol 2020; 504:110401. [PMID: 32663506 DOI: 10.1016/j.jtbi.2020.110401] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 06/27/2020] [Accepted: 07/04/2020] [Indexed: 12/13/2022]
Abstract
Adult humans exhibit high interindividual variation in habitual sleep durations, with short sleepers typically sleeping less than 6 h per night and long sleepers typically sleeping more than 9 h per night. Analysis of the time course of homeostatic sleep drive in habitual short and long sleepers has not identified differences between these groups, leading to the hypothesis that habitual short sleep results from increased tolerance to high levels of homeostatic sleep drive. Using a physiologically-based mathematical model of the sleep-wake regulatory network, we investigate responses to acute sleep deprivation in simulated populations of habitual long, regular and short sleepers that differ in daily levels of homeostatic sleep drive. The model predicts timing and durations of wake, rapid eye movement (REM), and non-REM (NREM) sleep episodes as modulated by the homeostatic sleep drive and the circadian rhythm, which is entrained to an external light cycle. Model parameters are fit to experimental measures of baseline sleep durations to construct simulated populations of individuals of each sleeper type. The simulated populations are validated against data for responses to specific acute sleep deprivation protocols. We use the model to predict responses to a wide range of sleep deprivation durations for each sleeper type. Model results predict that all sleeper types exhibit shorter sleep durations during recovery sleep that occurs in the morning, but, for recovery sleep times occurring later in the day, long and regular sleepers show longer and more variable sleep durations, and can suffer longer lasting disruption of daily sleep patterns compared to short sleepers. Additionally, short sleepers showed more resilience to sleep deprivation with longer durations of waking episodes following recovery sleep. These results support the hypothesis that differential responses to sleep deprivation between short and long sleepers result from differences in the tolerance for homeostatic sleep pressure.
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Affiliation(s)
- Sofia H Piltz
- Department of Mathematics, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Cecilia G Diniz Behn
- Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO 80401.
| | - Victoria Booth
- Departments of Mathematics and Anesthesiology, University of Michigan, Ann Arbor, MI 48109, USA.
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Shaban RZ, Sotomayor-Castillo CF, Malik J, Li C. Global commercial passenger airlines and travel health information regarding infection control and the prevention of infectious disease: What's in a website? Travel Med Infect Dis 2020; 33:101528. [PMID: 31760126 PMCID: PMC7110852 DOI: 10.1016/j.tmaid.2019.101528] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 11/20/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND Air travel has never been easier, cheaper or faster, with large volumes of people travelling around the world. These factors increase the risk of the spread of infectious diseases by air travel. Little is known, however, about the extent to which airlines provide information to passengers on infection control and measures to prevent the spread of infectious diseases. This study examined the websites of the global commercial passenger airlines to see if they contained information about infection control and prevention of infectious diseases and appraised the clinical usefulness of that information. METHOD A cross-sectional text-based analysis of the 73 airline websites from the six global commercial passenger airline conglomerates was performed to identify information about infection control and prevention of infectious between July and August 2019. RESULTS Of the 73 airline websites, less than half (n = 35, 28.6%) contained information deemed useful for passengers. While there was a range of general health advice within the websites, there was limited information about infection control and preventing infectious diseases. A minority of websites contained information about vaccination status prior to travel, and to a lesser extent handwashing and hand hygiene, with very few including disease-specific advice or preventive measures. CONCLUSIONS Airline websites are an underutilised source of information for infection control and the prevention of infectious diseases. Providing passengers with information on basic infection control and prevention measures may support the global efforts against the spread of infectious diseases.
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Affiliation(s)
- Ramon Z Shaban
- The University of Sydney, Faculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery, Camperdown, NSW, 2050, Australia; The University of Sydney, Marie Bashir Institute for Infectious Diseases and Biosecurity, Westmead, NSW, 2145, Australia; Department of Infection Prevention and Control, Division of Infectious Diseases and Sexual Health, Westmead Hospital and the Directorate of Nursing, Midwifery and Clinical Governance, Western Sydney Local Health District, Westmead, NSW, 2145, Australia.
| | - Cristina F Sotomayor-Castillo
- The University of Sydney, Faculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery, Camperdown, NSW, 2050, Australia; The University of Sydney, Marie Bashir Institute for Infectious Diseases and Biosecurity, Westmead, NSW, 2145, Australia; Department of Infection Prevention and Control, Division of Infectious Diseases and Sexual Health, Westmead Hospital and the Directorate of Nursing, Midwifery and Clinical Governance, Western Sydney Local Health District, Westmead, NSW, 2145, Australia
| | - Jeremy Malik
- The University of Sydney, Faculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery, Camperdown, NSW, 2050, Australia
| | - Cecilia Li
- The University of Sydney, Faculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery, Camperdown, NSW, 2050, Australia; The University of Sydney, Marie Bashir Institute for Infectious Diseases and Biosecurity, Westmead, NSW, 2145, Australia; Department of Infection Prevention and Control, Division of Infectious Diseases and Sexual Health, Westmead Hospital and the Directorate of Nursing, Midwifery and Clinical Governance, Western Sydney Local Health District, Westmead, NSW, 2145, Australia
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Chowdhury D, Wang C, Lu AP, Zhu HL. Understanding Quantitative Circadian Regulations Are Crucial Towards Advancing Chronotherapy. Cells 2019; 8:cells8080883. [PMID: 31412622 PMCID: PMC6721722 DOI: 10.3390/cells8080883] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 08/01/2019] [Accepted: 08/09/2019] [Indexed: 12/19/2022] Open
Abstract
Circadian rhythms have a deep impact on most aspects of physiology. In most organisms, especially mammals, the biological rhythms are maintained by the indigenous circadian clockwork around geophysical time (~24-h). These rhythms originate inside cells. Several core components are interconnected through transcriptional/translational feedback loops to generate molecular oscillations. They are tightly controlled over time. Also, they exert temporal controls over many fundamental physiological activities. This helps in coordinating the body’s internal time with the external environments. The mammalian circadian clockwork is composed of a hierarchy of oscillators, which play roles at molecular, cellular, and higher levels. The master oscillation has been found to be developed at the hypothalamic suprachiasmatic nucleus in the brain. It acts as the core pacemaker and drives the transmission of the oscillation signals. These signals are distributed across different peripheral tissues through humoral and neural connections. The synchronization among the master oscillator and tissue-specific oscillators offer overall temporal stability to mammals. Recent technological advancements help us to study the circadian rhythms at dynamic scale and systems level. Here, we outline the current understanding of circadian clockwork in terms of molecular mechanisms and interdisciplinary concepts. We have also focused on the importance of the integrative approach to decode several crucial intricacies. This review indicates the emergence of such a comprehensive approach. It will essentially accelerate the circadian research with more innovative strategies, such as developing evidence-based chronotherapeutics to restore de-synchronized circadian rhythms.
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Affiliation(s)
- Debajyoti Chowdhury
- HKBU Institute for Research and Continuing Education, Shenzhen 518057, China
- Institute of Integrated Bioinfomedicine and Translational Science, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China
| | - Chao Wang
- HKBU Institute for Research and Continuing Education, Shenzhen 518057, China
- Institute of Integrated Bioinfomedicine and Translational Science, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China
| | - Ai-Ping Lu
- HKBU Institute for Research and Continuing Education, Shenzhen 518057, China.
- Institute of Integrated Bioinfomedicine and Translational Science, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China.
| | - Hai-Long Zhu
- HKBU Institute for Research and Continuing Education, Shenzhen 518057, China.
- Institute of Integrated Bioinfomedicine and Translational Science, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China.
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