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Different Resting State EEG Features in Children from Switzerland and Saudi Arabia

Overview of attention for article published in Frontiers in Human Neuroscience, November 2016
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Title
Different Resting State EEG Features in Children from Switzerland and Saudi Arabia
Published in
Frontiers in Human Neuroscience, November 2016
DOI 10.3389/fnhum.2016.00559
Pubmed ID
Authors

Nsreen Alahmadi, Sergey A. Evdokimov, Yury Kropotov, Andreas M. Müller, Lutz Jäncke

Abstract

Background: Cultural neuroscience is an emerging research field concerned with studying the influences of different cultures on brain anatomy and function. In this study, we examined whether different cultural or genetic influences might influence the resting state electroencephalogram (EEG) in young children (mean age 10 years) from Switzerland and Saudi Arabia. Methods: Resting state EEG recordings were obtained from relatively large groups of healthy children (95 healthy Swiss children and 102 Saudi Arabian children). These EEG data were analyzed using group independent components analyses (gICA) and conventional analyses of spectral data, together with estimations of the underlying intracortical sources, using LORETA software. Results: We identified many similarities, but also some substantial differences with respect to the resting state EEG data. For Swiss children, we found stronger delta band power values in mesial frontal areas and stronger power values in three out of four frequency bands in occipital areas. For Saudi Arabian children, we uncovered stronger alpha band power over the sensorimotor cortex. The additionally measured theta/beta ratio (TBR) was similar for Swiss and Saudi Arabian children. Conclusions: The different EEG resting state features identified, are discussed in the context of different cultural experiences and possible genetic influences. In addition, we emphasize the importance of using appropriate EEG databases when comparing resting state EEG features between groups.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 18%
Student > Ph. D. Student 15 15%
Student > Master 13 13%
Student > Bachelor 9 9%
Professor > Associate Professor 4 4%
Other 15 15%
Unknown 27 27%
Readers by discipline Count As %
Neuroscience 17 17%
Psychology 17 17%
Medicine and Dentistry 7 7%
Computer Science 3 3%
Agricultural and Biological Sciences 3 3%
Other 20 20%
Unknown 34 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 November 2016.
All research outputs
#14,275,152
of 22,893,031 outputs
Outputs from Frontiers in Human Neuroscience
#4,588
of 7,174 outputs
Outputs of similar age
#176,542
of 311,552 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#99
of 160 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,174 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.