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Scalp Topography of the Spontaneous K-Complex and of Delta-Waves in Human Sleep

Overview of attention for article published in Brain Topography, September 2002
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Title
Scalp Topography of the Spontaneous K-Complex and of Delta-Waves in Human Sleep
Published in
Brain Topography, September 2002
DOI 10.1023/a:1019992523246
Pubmed ID
Authors

Svenja Happe, Peter Anderer, Georg Gruber, Gerhard Klösch, Bernd Saletu, Josef Zeitlhofer

Abstract

Together with spindles, K-complexes are well known hallmarks of stage 2 sleep (S2). However, little is known about their topographical distribution in comparison to delta-waves and to K-complexes superimposed by spindles. In this study, the topographical distribution of spontaneous K-complexes and delta-waves in S2 and delta-waves in stage 4 sleep (S4) in 10 healthy young adults (aged 20 to 35 years, 7 female) was investigated. K-complexes with and without spindles in S2, delta-waves with and without spindles in S2, and delta-waves in S4 distributed all over the night were visually selected. EEG power maps and statistical parametric maps were calculated. Absolute delta power of S2 K-complexes appeared to be significantly higher than of S2 delta-waves and delta power of S4 delta-waves was higher than of S2 delta-waves. In K-complexes and delta-waves, power was found to be highest over medio-frontal regions in the delta frequency band (0.5-4.0 Hz) with a second maximum occipitally in delta-waves, no matter whether superimposed by a spindle or not. K-complexes and delta-waves in S2 differ in topographical distribution. Even though in S2 delta-waves have less power, they have a similar topographical distribution in S2 and S4, supporting the hypothesis that delta-waves in S2 further develop towards delta-waves in slow wave sleep. The delta frequency components of K-complexes and delta-waves are unaffected by spindles.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Researcher 12 21%
Professor 5 9%
Student > Postgraduate 4 7%
Student > Master 4 7%
Other 6 11%
Unknown 11 19%
Readers by discipline Count As %
Neuroscience 13 23%
Engineering 12 21%
Psychology 7 12%
Medicine and Dentistry 7 12%
Agricultural and Biological Sciences 1 2%
Other 4 7%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 March 2014.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Brain Topography
#177
of 523 outputs
Outputs of similar age
#17,024
of 48,923 outputs
Outputs of similar age from Brain Topography
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 523 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 55% 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 48,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them