Literature DB >> 19443034

History and future of comparative analyses in sleep research.

John A Lesku1, Timothy C Roth, Niels C Rattenborg, Charles J Amlaner, Steven L Lima.   

Abstract

The comparative methods of evolutionary biology are a useful tool for investigating the functions of sleep. These techniques can help determine whether experimental results, derived from a single or few species, apply broadly across a specified group of animals. In this way, comparative analysis is a powerful complement to experimentation. The variation in the time mammalian species spend asleep has been most amenable for use with this approach, given the large number of mammals for which sleep data exist. Here, it is assumed that interspecific variation in the time spent asleep reflects underlying differences in the need for sleep. If true, then significant predictors of sleep times should provide insight into the function of sleep. Many such analyses have sought the evolutionary determinants of mammalian sleep by relating the time spent in the two basic states of sleep, rapid eye movement (REM) and non-REM sleep, to constitutive variables thought to be functionally related to sleep. However, the early analyses had several methodological problems, and recent re-analyses have overturned some widely accepted relationships, such as the idea that species with higher metabolic rates engage in more sleep. These more recent studies also provide evolutionarily broad support for a neurophysiological role for REM sleep. Furthermore, results from comparative analyses suggest that animals are particularly vulnerable to predation during REM sleep, a finding that lends further support to the notion that REM sleep must serve an important function. Here, we review the methodology and results of quantitative comparative studies of sleep. We highlight important developments in our understanding of the evolutionary determinants of sleep and emphasize relationships that address prevailing hypotheses for the functions of sleep. Lastly, we outline a possible future for comparative analyses, focusing on work in non-mammalian groups, the use of more physiologically meaningful variables, and electrophysiological sleep studies conducted in the wild.

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Year:  2009        PMID: 19443034     DOI: 10.1016/j.neubiorev.2009.04.002

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  18 in total

Review 1.  The ecological relevance of sleep: the trade-off between sleep, memory and energy conservation.

Authors:  Timothy C Roth; Niels C Rattenborg; Vladimir V Pravosudov
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-03-27       Impact factor: 6.237

2.  Excitability and recruitment patterns of spinal motoneurons in human sleep as assessed by F-wave recordings.

Authors:  Farid Salih; Saskia Steinheimer; Pascal Grosse
Journal:  Exp Brain Res       Date:  2011-06-30       Impact factor: 1.972

3.  Characterizing sleep behavior of the wild black rhinoceros (Diceros bicornis bicornis).

Authors:  Rachel Santymire; Jordana Meyer; Elizabeth W Freeman
Journal:  Sleep       Date:  2012-11-01       Impact factor: 5.849

4.  Ecology and neurophysiology of sleep in two wild sloth species.

Authors:  Bryson Voirin; Madeleine F Scriba; Dolores Martinez-Gonzalez; Alexei L Vyssotski; Martin Wikelski; Niels C Rattenborg
Journal:  Sleep       Date:  2014-04-01       Impact factor: 5.849

Review 5.  Sleep research goes wild: new methods and approaches to investigate the ecology, evolution and functions of sleep.

Authors:  Niels C Rattenborg; Horacio O de la Iglesia; Bart Kempenaers; John A Lesku; Peter Meerlo; Madeleine F Scriba
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-11-19       Impact factor: 6.237

Review 6.  What Is REM Sleep?

Authors:  Mark S Blumberg; John A Lesku; Paul-Antoine Libourel; Markus H Schmidt; Niels C Rattenborg
Journal:  Curr Biol       Date:  2020-01-06       Impact factor: 10.834

Review 7.  Time for Bed: Genetic Mechanisms Mediating the Circadian Regulation of Sleep.

Authors:  Ian D Blum; Benjamin Bell; Mark N Wu
Journal:  Trends Genet       Date:  2018-01-24       Impact factor: 11.639

Review 8.  Animal models of sleep disorders.

Authors:  Linda A Toth; Pavan Bhargava
Journal:  Comp Med       Date:  2013-04       Impact factor: 0.982

9.  Evaluation of two minimally invasive techniques for electroencephalogram recording in wild or freely behaving animals.

Authors:  M F Scriba; W M Harmening; C Mettke-Hofmann; A L Vyssotski; A Roulin; H Wagner; N C Rattenborg
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-12-04       Impact factor: 1.836

10.  Neuroscience: A Distributed Neural Network Controls REM Sleep.

Authors:  John Peever; Patrick M Fuller
Journal:  Curr Biol       Date:  2016-01-11       Impact factor: 10.834

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