Temporal distributions of delta wave sleep and rem sleep during recovery sleep after 12-h forced wakefulness in dogs; similarity to human sleep

Takahashi, Yasuro; Ebihara, Shigemitsu; Nakamura, Yoshiko; Takahashi, Keiichi

doi:10.1016/0304-3940(78)90248-3

Cited by 26 publications

(8 citation statements)

References 3 publications

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“… 93 Likewise, in dogs, 12-hour forced wakefulness led to an increase in delta wave sleep during the first half of the night. 94 In a quantitative EEG study, delta band power density was found to be significantly higher after SD compared with baseline for total sleep time as well as for sleep stages 2, 3, and 4. 95 Notably, and consistent with many follow-up studies, the effects observed were not restricted to the traditional delta band, but also extended into higher frequencies.…”

Section: Homeostatic Regulation Of Sleep and Eeg Swamentioning

confidence: 97%

Sleep, recovery, and metaregulation: explaining the benefits of sleep

Vyazovskiy

2015

NSS

104

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A commonly held view is that extended wakefulness is causal for a broad spectrum of deleterious effects at molecular, cellular, network, physiological, psychological, and behavioral levels. Consequently, it is often presumed that sleep plays an active role in providing renormalization of the changes incurred during preceding waking. Not surprisingly, unequivocal empirical evidence supporting such a simple bi-directional interaction between waking and sleep is often limited or controversial. One difficulty is that, invariably, a constellation of many intricately interrelated factors, including the time of day, specific activities or behaviors during preceding waking, metabolic status and stress are present at the time of measurement, shaping the overall effect observed. In addition to this, although insufficient or disrupted sleep is thought to prevent efficient recovery of specific physiological variables, it is also often difficult to attribute specific changes to the lack of sleep proper. Furthermore, sleep is a complex phenomenon characterized by a multitude of processes, whose unique and distinct contributions to the purported functions of sleep are difficult to determine, because they are interrelated. Intensive research effort over the last decades has greatly progressed current understanding of the cellular and physiological processes underlying the regulation of vigilance states. Notably, it also highlighted the infinite complexity within both waking and sleep, and revealed a number of fundamental conceptual and technical obstacles that need to be overcome in order to fully understand these processes. A promising approach could be to view sleep not as an entity, which has specific function(s) and is subject to direct regulation, but as a manifestation of the process of metaregulation, which enables efficient moment-to-moment integration between internal and external factors, preceding history and current homeostatic needs.

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Section: Homeostatic Regulation Of Sleep and Eeg Swamentioning

confidence: 97%

Sleep, recovery, and metaregulation: explaining the benefits of sleep

Vyazovskiy

2015

NSS

104

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“…Abundant data document a compensatory increase of SWA and other EEG variables after prolonged wakefulness in species encompassing humans and rodents and many other mammals, including two nonhuman primates (the rhesus monkey [Macaca mulatta] and squirrel monkey), 8,83-85 three carnivores (the cat, 9,11,14,40,86 the dog, 87 and the ferret 88 ), and rabbits and dolphins. However, variables such as sleep state consolidation, or alternatively, when sleep data are lacking, the number and consolidation of epochs with little or no motor activity, also change as a function of the duration of previous wakefulness.…”

Section: Other Measures For Sleep Regulation: Sleep or Rest Consolidamentioning

confidence: 99%

Phylogeny of Sleep Regulation

Tobler¹

2011

Principles and Practice of Sleep Medicine

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“…Data from these non-invasive studies is mostly in line with the decades of canine sleep research carried out with invasive methods, mainly focused on neurological conditions such as epilepsy [ 50 ] and narcolepsy [ 51 ]. Dogs are known to display polyphasic sleep [ 52 ] with short sleep–wake cycles [ 53 ]. A clear circadian, diurnal rhythm was also found in dogs [ 54 ] similar to that in humans, and it was reported that dogs are most active after light onset and tend to have a rest during the afternoon [ 55 ].…”

Section: Introductionmentioning

confidence: 99%

Heart Rate and Heart Rate Variability during Sleep in Family Dogs (Canis familiaris). Moderate Effect of Pre-Sleep Emotions

Varga

Gergely

Galambos

et al. 2018

Animals

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Simple SummaryIt is common knowledge that negative emotions in humans are accompanied by both impaired subjective experience as well as maladaptive changes in behavior and physiology. The present paper investigates heart rate—one of the most commonly used emotion-related physiology measures—in the family dog, with the aim of uncovering its potential relationship with emotions. Sleep recordings were conducted following a positive versus a negative social interaction, as sleep alternations are one of the most conspicuous changes in response to negative affect. We observed differences in heart rate following the positive versus negative interactions, however these were only apparent during wakefulness, but not during sleep.AbstractThe domestic dog (Canis familiaris) has been shown to both excel in recognising human emotions and produce emotion-related vocalisations and postures that humans can easily recognise. However, little is known about the effect of emotional experiences on subsequent sleep physiology, a set of phenomena heavily interrelated with emotions in the case of humans. The present paper examines heart rate (HR) and heart rate variability (HRV) during dogs’ sleep, measures that are influenced by both positive and negative emotions in awake dogs. In Study I, descriptive HR and HRV data is provided on N = 12 dogs about the different sleep stages (wake, drowsiness, non-rapid eye movement (non-REM), REM; scoring based on electroencephalogram (EEG) data). We conclude that wakefulness is characterised by higher HR and lower HRV compared to all sleep stages. Furthermore, drowsiness is characterised by higher HR and lower HRV than non-REM and REM, but only if the electrocardiogram (ECG) samples are taken from the first occurrence of a given sleep stage, not when the longest periods of each sleep stage are analysed. Non-REM and REM sleep were not found to be different from each other in either HR or HRV parameters. In Study II, sleep HR and HRV measures are compared in N = 16 dogs after a positive versus negative social interaction (within-subject design). The positive social interaction consisted of petting and ball play, while the negative social interaction was a mixture of separation, threatening approach and still face test. Results are consistent with the two-dimensional emotion hypothesis in that following the intense positive interaction more elevated HR and decreased HRV is found compared to the mildly negative (lower intensity) interaction. However, although this trend can be observed in all sleep stages except for REM, the results only reach significance in the wake stage. In sum, the present findings suggest that HR and HRV are possible to measure during dogs’ sleep, and can potentially be used to study the effect of emotions not only during but also after such interactions.

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Temporal distributions of delta wave sleep and rem sleep during recovery sleep after 12-h forced wakefulness in dogs; similarity to human sleep

Cited by 26 publications

References 3 publications

Sleep, recovery, and metaregulation: explaining the benefits of sleep

Sleep, recovery, and metaregulation: explaining the benefits of sleep

Phylogeny of Sleep Regulation

Heart Rate and Heart Rate Variability during Sleep in Family Dogs (Canis familiaris). Moderate Effect of Pre-Sleep Emotions

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