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Enhancement of sleep slow waves: underlying mechanisms and practical consequences

Overview of attention for article published in Frontiers in Systems Neuroscience, October 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
3 news outlets
twitter
9 X users
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3 patents
facebook
2 Facebook pages
reddit
2 Redditors
video
2 YouTube creators

Citations

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202 Dimensions

Readers on

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461 Mendeley
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Title
Enhancement of sleep slow waves: underlying mechanisms and practical consequences
Published in
Frontiers in Systems Neuroscience, October 2014
DOI 10.3389/fnsys.2014.00208
Pubmed ID
Authors

Michele Bellesi, Brady A. Riedner, Gary N. Garcia-Molina, Chiara Cirelli, Giulio Tononi

Abstract

Even modest sleep restriction, especially the loss of sleep slow wave activity (SWA), is invariably associated with slower electroencephalogram (EEG) activity during wake, the occurrence of local sleep in an otherwise awake brain, and impaired performance due to cognitive and memory deficits. Recent studies not only confirm the beneficial role of sleep in memory consolidation, but also point to a specific role for sleep slow waves. Thus, the implementation of methods to enhance sleep slow waves without unwanted arousals or lightening of sleep could have significant practical implications. Here we first review the evidence that it is possible to enhance sleep slow waves in humans using transcranial direct-current stimulation (tDCS) and transcranial magnetic stimulation. Since these methods are currently impractical and their safety is questionable, especially for chronic long-term exposure, we then discuss novel data suggesting that it is possible to enhance slow waves using sensory stimuli. We consider the physiology of the K-complex (KC), a peripheral evoked slow wave, and show that, among different sensory modalities, acoustic stimulation is the most effective in increasing the magnitude of slow waves, likely through the activation of non-lemniscal ascending pathways to the thalamo-cortical system. In addition, we discuss how intensity and frequency of the acoustic stimuli, as well as exact timing and pattern of stimulation, affect sleep enhancement. Finally, we discuss automated algorithms that read the EEG and, in real-time, adjust the stimulation parameters in a closed-loop manner to obtain an increase in sleep slow waves and avoid undesirable arousals. In conclusion, while discussing the mechanisms that underlie the generation of sleep slow waves, we review the converging evidence showing that acoustic stimulation is safe and represents an ideal tool for slow wave sleep (SWS) enhancement.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 461 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 4 <1%
Germany 3 <1%
United States 3 <1%
Singapore 2 <1%
Italy 1 <1%
Uruguay 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Colombia 1 <1%
Other 3 <1%
Unknown 441 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 90 20%
Student > Ph. D. Student 74 16%
Student > Master 64 14%
Student > Bachelor 37 8%
Student > Doctoral Student 24 5%
Other 79 17%
Unknown 93 20%
Readers by discipline Count As %
Neuroscience 103 22%
Psychology 64 14%
Agricultural and Biological Sciences 57 12%
Medicine and Dentistry 41 9%
Engineering 24 5%
Other 51 11%
Unknown 121 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 06 October 2021.
All research outputs
#1,174,532
of 25,380,192 outputs
Outputs from Frontiers in Systems Neuroscience
#86
of 1,406 outputs
Outputs of similar age
#13,162
of 272,020 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#7
of 57 outputs
Altmetric has tracked 25,380,192 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 93% of its peers.
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 272,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.