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Single-neuron activity and eye movements during human REM sleep and awake vision

Overview of attention for article published in Nature Communications, August 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
30 news outlets
blogs
9 blogs
twitter
40 X users
facebook
7 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
3 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
105 Dimensions

Readers on

mendeley
288 Mendeley
citeulike
2 CiteULike
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Title
Single-neuron activity and eye movements during human REM sleep and awake vision
Published in
Nature Communications, August 2015
DOI 10.1038/ncomms8884
Pubmed ID
Authors

Thomas Andrillon, Yuval Nir, Chiara Cirelli, Giulio Tononi, Itzhak Fried

Abstract

Are rapid eye movements (REMs) in sleep associated with visual-like activity, as during wakefulness? Here we examine single-unit activities (n=2,057) and intracranial electroencephalography across the human medial temporal lobe (MTL) and neocortex during sleep and wakefulness, and during visual stimulation with fixation. During sleep and wakefulness, REM onsets are associated with distinct intracranial potentials, reminiscent of ponto-geniculate-occipital waves. Individual neurons, especially in the MTL, exhibit reduced firing rates before REMs as well as transient increases in firing rate immediately after, similar to activity patterns observed upon image presentation during fixation without eye movements. Moreover, the selectivity of individual units is correlated with their response latency, such that units activated after a small number of images or REMs exhibit delayed increases in firing rates. Finally, the phase of theta oscillations is similarly reset following REMs in sleep and wakefulness, and after controlled visual stimulation. Our results suggest that REMs during sleep rearrange discrete epochs of visual-like processing as during wakefulness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
Germany 3 1%
France 2 <1%
Japan 2 <1%
United States 2 <1%
Spain 2 <1%
Brazil 1 <1%
Lithuania 1 <1%
Uruguay 1 <1%
Other 3 1%
Unknown 267 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 22%
Researcher 54 19%
Student > Master 35 12%
Student > Bachelor 28 10%
Student > Postgraduate 17 6%
Other 47 16%
Unknown 43 15%
Readers by discipline Count As %
Neuroscience 66 23%
Agricultural and Biological Sciences 45 16%
Psychology 40 14%
Medicine and Dentistry 27 9%
Engineering 10 3%
Other 37 13%
Unknown 63 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 340. 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 14 July 2021.
All research outputs
#96,585
of 25,385,509 outputs
Outputs from Nature Communications
#1,401
of 56,882 outputs
Outputs of similar age
#963
of 275,971 outputs
Outputs of similar age from Nature Communications
#14
of 783 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56,882 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.7. This one has done particularly well, scoring higher than 97% 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 275,971 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 99% of its contemporaries.
We're also able to compare this research output to 783 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.