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Norman H, Munson A, Cortese D, Koeck B, Killen SS. The interplay between sleep and ecophysiology, behaviour and responses to environmental change in fish. J Exp Biol 2024; 227:jeb247138. [PMID: 38860399 PMCID: PMC11213526 DOI: 10.1242/jeb.247138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
Evidence of behavioural sleep has been observed in every animal species studied to date, but current knowledge of the behaviour, neurophysiology and ecophysiology associated with sleep is concentrated on mammals and birds. Fish are a hugely diverse group that can offer novel insights into a variety of sleep-related behaviours across environments, but the ecophysiological relevance of sleep in fish has been largely overlooked. Here, we systematically reviewed the literature to assess the current breadth of knowledge on fish sleep, and surveyed the diverse physiological effects and behaviours associated with sleep. We also discuss possible ways in which unstudied external factors may alter sleep behaviours. For example, predation risk may alter sleep patterns, as has been shown in mammalian, avian and reptilian species. Other environmental factors - such as water temperature and oxygen availability - have the potential to alter sleep patterns in fish differently than for terrestrial endotherms. Understanding the ecological influences on sleep in fish is vital, as sleep deprivation has the potential to affect waking behaviour and fitness owing to cognitive and physiological impairments, possibly affecting ecological phenomena and sensitivity to environmental stressors in ways that have not been considered.
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Affiliation(s)
- Helena Norman
- School of Biodiversity, One Health, and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - Amelia Munson
- School of Biodiversity, One Health, and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - Daphne Cortese
- School of Biodiversity, One Health, and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - Barbara Koeck
- School of Biodiversity, One Health, and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK
| | - Shaun S. Killen
- School of Biodiversity, One Health, and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK
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2
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Murillo-Rodríguez E, Coronado-Álvarez A, López-Muciño LA, Pastrana-Trejo JC, Viana-Torre G, Barberena JJ, Soriano-Nava DM, García-García F. Neurobiology of dream activity and effects of stimulants on dreams. Curr Top Med Chem 2022; 22:1280-1295. [PMID: 35761491 DOI: 10.2174/1568026622666220627162032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Revised: 03/18/2022] [Accepted: 04/11/2022] [Indexed: 11/22/2022]
Abstract
The sleep-wake cycle is the result of the activity of a multiple neurobiological network interaction. Dreaming feature is one interesting sleep phenomena that represents sensorial components, mostly visual perceptions, accompanied with intense emotions. Further complexity has been added to the topic of the neurobiological mechanism of dreams generation by the current data that suggests the influence of drugs on dream generation. Here, we discuss the review on some of the neurobiological mechanism of the regulation of dream activity, with special emphasis on the effects of stimulants on dreaming.
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Affiliation(s)
- Eric Murillo-Rodríguez
- Laboratorio de Neurociencias Moleculares e Integrativas, Escuela de Medicina, División Ciencias de la Salud. Universidad Anáhuac Mayab. Mérida, Yucatán. México.,Intercontinental Neuroscience Research Group
| | - Astrid Coronado-Álvarez
- Laboratorio de Neurociencias Moleculares e Integrativas, Escuela de Medicina, División Ciencias de la Salud. Universidad Anáhuac Mayab. Mérida, Yucatán. México.,Intercontinental Neuroscience Research Group
| | - Luis Angel López-Muciño
- Health Sciences Program. Health Sciences Institute. Veracruzana University. Xalapa. Veracruz. Mexico
| | - José Carlos Pastrana-Trejo
- Laboratorio de Neurociencias Moleculares e Integrativas, Escuela de Medicina, División Ciencias de la Salud. Universidad Anáhuac Mayab. Mérida, Yucatán. México.,Intercontinental Neuroscience Research Group
| | - Gerardo Viana-Torre
- Laboratorio de Neurociencias Moleculares e Integrativas, Escuela de Medicina, División Ciencias de la Salud. Universidad Anáhuac Mayab. Mérida, Yucatán. México.,Intercontinental Neuroscience Research Group
| | - Juan José Barberena
- Laboratorio de Neurociencias Moleculares e Integrativas, Escuela de Medicina, División Ciencias de la Salud. Universidad Anáhuac Mayab. Mérida, Yucatán. México.,Intercontinental Neuroscience Research Group.,Escuela de Psicología, División Ciencias de la Salud. Universidad Anáhuac Mayab. Mérida, Yucatán. México
| | - Daniela Marcia Soriano-Nava
- Laboratorio de Neurociencias Moleculares e Integrativas, Escuela de Medicina, División Ciencias de la Salud. Universidad Anáhuac Mayab. Mérida, Yucatán. México.,Intercontinental Neuroscience Research Group
| | - Fabio García-García
- Intercontinental Neuroscience Research Group.,Health Sciences Program. Health Sciences Institute. Veracruzana University. Xalapa. Veracruz. Mexico
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3
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Malinowski JE, Scheel D, McCloskey M. Do animals dream? Conscious Cogn 2021; 95:103214. [PMID: 34653784 DOI: 10.1016/j.concog.2021.103214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/22/2021] [Accepted: 09/21/2021] [Indexed: 10/20/2022]
Abstract
The understanding of biological functions of sleep has improved recently, including an understanding of the deep evolutionary roots of sleep among animals. However, dreaming as an element of sleep may be particularly difficult to address in non-human animals because in humans dreaming involves a non-wakeful form of awareness typically identified through verbal report. Here, we argue that parallels that exist between the phenomenology, physiology, and sleep behaviors during human dreaming provide an avenue to investigate dreaming in non-human animals. We review three alternative measurements of human dreaming - neural correlates of dreaming, 'replay' of newly-acquired memories, and dream-enacting behaviors - and consider how these may be applied to non-human animal models. We suggest that while animals close in brain structure to humans (such as mammals and birds) may be optimal models for the first two of these measurements, cephalopods, especially octopuses, may be particularly good candidates for the third.
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Affiliation(s)
- J E Malinowski
- School of Psychology, University of East London, Stratford, UK.
| | - D Scheel
- Institute of Culture & Environment, Alaska Pacific University, Anchorage, AK, USA.
| | - M McCloskey
- Institute of Culture & Environment, Alaska Pacific University, Anchorage, AK, USA.
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5
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Abstract
During sleep, animals do not eat, reproduce or forage. Sleeping animals are vulnerable to predation. Yet, the persistence of sleep despite evolutionary pressures, and the deleterious effects of sleep deprivation, indicate that sleep serves a function or functions that cannot easily be bypassed. Recent research demonstrates sleep to be phylogenetically far more pervasive than previously appreciated; it is possible that the very first animals slept. Here, we give an overview of sleep across various species, with the aim of determining its original purpose. Sleep exists in animals without cephalized nervous systems and can be influenced by non-neuronal signals, including those associated with metabolic rhythms. Together, these observations support the notion that sleep serves metabolic functions in neural and non-neural tissues.
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Affiliation(s)
- Ron C Anafi
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology and the Program for Chronobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Matthew S Kayser
- Center for Sleep and Circadian Neurobiology and the Program for Chronobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Department of Psychiatry and Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David M Raizen
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. .,Center for Sleep and Circadian Neurobiology and the Program for Chronobiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. .,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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6
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Kelly M, Collin S, Hemmi J, Lesku J. Evidence for Sleep in Sharks and Rays: Behavioural, Physiological, and Evolutionary Considerations. BRAIN, BEHAVIOR AND EVOLUTION 2019; 94:37-50. [DOI: 10.1159/000504123] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 10/14/2019] [Indexed: 11/19/2022]
Abstract
Sleep is widespread across the animal kingdom. However, most comparative sleep data exist for terrestrial vertebrates, with much less known about sleep in amphibians, bony fishes, and invertebrates. There is an absence of knowledge on sleep in cartilaginous fishes. Sharks and rays are amongst the earliest vertebrates, and may hold clues to the evolutionary history of sleep and sleep states found in more derived animals, such as mammals and birds. Here, we review the literature concerning activity patterns, sleep behaviour, and electrophysiological evidence for sleep in cartilaginous (and bony) fishes following an exhaustive literature search that found more than 80 relevant studies in laboratory and field environments. Evidence for sleep in sharks and rays that respire without swimming is preliminary; evidence for sleep in continuously swimming fishes is currently absent. We discuss ways in which the latter group might sleep concurrent with sustained movement, and conclude with suggestions for future studies in order to provide more comprehensive data on when, how, and why sharks and rays sleep.
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Allocca G, Ma S, Martelli D, Cerri M, Del Vecchio F, Bastianini S, Zoccoli G, Amici R, Morairty SR, Aulsebrook AE, Blackburn S, Lesku JA, Rattenborg NC, Vyssotski AL, Wams E, Porcheret K, Wulff K, Foster R, Chan JKM, Nicholas CL, Freestone DR, Johnston LA, Gundlach AL. Validation of 'Somnivore', a Machine Learning Algorithm for Automated Scoring and Analysis of Polysomnography Data. Front Neurosci 2019; 13:207. [PMID: 30936820 PMCID: PMC6431640 DOI: 10.3389/fnins.2019.00207] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Accepted: 02/22/2019] [Indexed: 12/14/2022] Open
Abstract
Manual scoring of polysomnography data is labor-intensive and time-consuming, and most existing software does not account for subjective differences and user variability. Therefore, we evaluated a supervised machine learning algorithm, SomnivoreTM, for automated wake–sleep stage classification. We designed an algorithm that extracts features from various input channels, following a brief session of manual scoring, and provides automated wake-sleep stage classification for each recording. For algorithm validation, polysomnography data was obtained from independent laboratories, and include normal, cognitively-impaired, and alcohol-treated human subjects (total n = 52), narcoleptic mice and drug-treated rats (total n = 56), and pigeons (n = 5). Training and testing sets for validation were previously scored manually by 1–2 trained sleep technologists from each laboratory. F-measure was used to assess precision and sensitivity for statistical analysis of classifier output and human scorer agreement. The algorithm gave high concordance with manual visual scoring across all human data (wake 0.91 ± 0.01; N1 0.57 ± 0.01; N2 0.81 ± 0.01; N3 0.86 ± 0.01; REM 0.87 ± 0.01), which was comparable to manual inter-scorer agreement on all stages. Similarly, high concordance was observed across all rodent (wake 0.95 ± 0.01; NREM 0.94 ± 0.01; REM 0.91 ± 0.01) and pigeon (wake 0.96 ± 0.006; NREM 0.97 ± 0.01; REM 0.86 ± 0.02) data. Effects of classifier learning from single signal inputs, simple stage reclassification, automated removal of transition epochs, and training set size were also examined. In summary, we have developed a polysomnography analysis program for automated sleep-stage classification of data from diverse species. Somnivore enables flexible, accurate, and high-throughput analysis of experimental and clinical sleep studies.
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Affiliation(s)
- Giancarlo Allocca
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.,Somnivore Pty. Ltd., Parkville, VIC, Australia
| | - Sherie Ma
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.,Somnivore Pty. Ltd., Parkville, VIC, Australia
| | - Davide Martelli
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.,Laboratory of Autonomic and Behavioral Physiology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Matteo Cerri
- Laboratory of Autonomic and Behavioral Physiology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Flavia Del Vecchio
- Laboratory of Autonomic and Behavioral Physiology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Stefano Bastianini
- PRISM Laboratory, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Giovanna Zoccoli
- PRISM Laboratory, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Roberto Amici
- Laboratory of Autonomic and Behavioral Physiology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Stephen R Morairty
- Center for Neuroscience, Biosciences Division, SRI International, Menlo Park, CA, United States
| | - Anne E Aulsebrook
- School of BioSciences, The University of Melbourne, Parkville, VIC, Australia
| | - Shaun Blackburn
- School of Life Sciences, La Trobe University, Bundoora, VIC, Australia
| | - John A Lesku
- School of Life Sciences, La Trobe University, Bundoora, VIC, Australia.,Avian Sleep Group, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Niels C Rattenborg
- Avian Sleep Group, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Alexei L Vyssotski
- Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Emma Wams
- The Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Kate Porcheret
- The Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Katharina Wulff
- The Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Russell Foster
- The Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Julia K M Chan
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, Australia
| | - Christian L Nicholas
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, Australia.,Institute of Breathing and Sleep, Austin Health, Heidelberg, VIC, Australia
| | - Dean R Freestone
- Department of Medicine, St. Vincent's Hospital, The University of Melbourne, Fitzroy, VIC, Australia
| | - Leigh A Johnston
- Biomedical Engineering, The University of Melbourne, Parkville, VIC, Australia.,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Andrew L Gundlach
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.,Somnivore Pty. Ltd., Parkville, VIC, Australia.,Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
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