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EEG Correlates of Self-Referential Processing

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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1 blog
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138 Dimensions

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300 Mendeley
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Title
EEG Correlates of Self-Referential Processing
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00264
Pubmed ID
Authors

Gennady G. Knyazev

Abstract

Self-referential processing has been principally investigated using functional magnetic resonance imaging (fMRI). However, understanding of the brain functioning is not possible without careful comparison of the evidence coming from different methodological domains. This paper aims to review electroencephalographic (EEG) studies of self-referential processing and to evaluate how they correspond, complement, or contradict the existing fMRI evidence. There are potentially two approaches to the study of EEG correlates of self-referential processing. Firstly, because simultaneous registration of EEG and fMRI has become possible, the degree of overlap between these two signals in brain regions related to self-referential processing could be determined. Second and more direct approach would be the study of EEG correlates of self-referential processing per se. In this review, I discuss studies, which employed both these approaches and show that in line with fMRI evidence, EEG correlates of self-referential processing are most frequently found in brain regions overlapping with the default network, particularly in the medial prefrontal cortex. In the time domain, the discrimination of self- and others-related information is mostly associated with the P300 ERP component, but sometimes is observed even earlier. In the frequency domain, different frequency oscillations have been shown to contribute to self-referential processing, with spontaneous self-referential mentation being mostly associated with the alpha frequency band.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United States 2 <1%
Switzerland 1 <1%
Turkey 1 <1%
Italy 1 <1%
France 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 290 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 24%
Student > Master 46 15%
Researcher 35 12%
Student > Doctoral Student 29 10%
Student > Bachelor 22 7%
Other 51 17%
Unknown 46 15%
Readers by discipline Count As %
Psychology 118 39%
Neuroscience 49 16%
Agricultural and Biological Sciences 19 6%
Medicine and Dentistry 16 5%
Engineering 14 5%
Other 23 8%
Unknown 61 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 February 2017.
All research outputs
#2,450,046
of 22,711,645 outputs
Outputs from Frontiers in Human Neuroscience
#1,241
of 7,128 outputs
Outputs of similar age
#26,062
of 280,737 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#215
of 862 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,128 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 82% 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 280,737 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 90% of its contemporaries.
We're also able to compare this research output to 862 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.