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2 X users

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mendeley
33 Mendeley
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Article details
Title
Modelling maintenance of wakefulness in rats: comparing potential non‐invasive sleep‐restriction methods and their effects on sleep and attentional performance
Published in
Journal of Sleep Research, October 2016
DOI 10.1111/jsr.12464
Pubmed ID
Authors
Abstract

While several methods have been used to restrict the sleep of experimental animals, it is often unclear whether these different forms of sleep restriction have comparable effects on sleep-wake architecture or functional capacity. The present study compared four models of sleep restriction, using enforced wakefulness by rotation of cylindrical home cages over 11 h in male Wistar rats. These included an electroencephalographic-driven 'Biofeedback' method and three non-invasive methods where rotation was triggered according to a 'Constant', 'Decreasing' or random protocol based upon the 'Weibull' distribution fit to an archival Biofeedback dataset. Sleep-wake architecture was determined using polysomnography, and functional capacity was assessed immediately post-restriction with a simple response latency task, as a potential homologue of the human psychomotor vigilance task. All sleep restriction protocols resulted in sleep loss, behavioural task disengagement and rebound sleep, although no model was as effective as real-time electroencephalographic-Biofeedback. Decreasing and Weibull protocols produced greater recovery sleep than the Constant protocol, mirrored by comparably poorer simple response latency task performance. Increases in urinary corticosterone levels following Constant and Decreasing protocols suggested that stress levels may differ between protocols. Overall, these results provide insight into the value of choosing a specific sleep restriction protocol, not only from the perspective of animal welfare and the use of less invasive procedures, but also translational validity. A more considered choice of the physiological and functional effects of sleep-restriction protocols in rodents may improve correspondence with specific types of excessive daytime sleepiness in humans.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 18%
Student > Bachelor 4 12%
Student > Doctoral Student 3 9%
Student > Ph. D. Student 2 6%
Student > Master 2 6%
Other 5 15%
Unknown 11 33%
Readers by discipline
Readers by discipline Count As %
Neuroscience 6 18%
Psychology 4 12%
Nursing and Health Professions 3 9%
Agricultural and Biological Sciences 3 9%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 12 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 November 2017.
All research outputs
#19,995,718
of 24,571,708 outputs
Outputs from Journal of Sleep Research
#1,640
of 1,940 outputs
Outputs of similar age
#249,079
of 325,593 outputs
Outputs of similar age from Journal of Sleep Research
#10
of 19 outputs
Altmetric has tracked 24,571,708 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,940 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 325,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.