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On the Application of Quantitative EEG for Characterizing Autistic Brain: A Systematic Review

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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6 X users
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1 Facebook page

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91 Dimensions

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215 Mendeley
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Title
On the Application of Quantitative EEG for Characterizing Autistic Brain: A Systematic Review
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00442
Pubmed ID
Authors

Lucia Billeci, Federico Sicca, Koushik Maharatna, Fabio Apicella, Antonio Narzisi, Giulia Campatelli, Sara Calderoni, Giovanni Pioggia, Filippo Muratori

Abstract

Autism-Spectrum Disorders (ASD) are thought to be associated with abnormalities in neural connectivity at both the global and local levels. Quantitative electroencephalography (QEEG) is a non-invasive technique that allows a highly precise measurement of brain function and connectivity. This review encompasses the key findings of QEEG application in subjects with ASD, in order to assess the relevance of this approach in characterizing brain function and clustering phenotypes. QEEG studies evaluating both the spontaneous brain activity and brain signals under controlled experimental stimuli were examined. Despite conflicting results, literature analysis suggests that QEEG features are sensitive to modification in neuronal regulation dysfunction which characterize autistic brain. QEEG may therefore help in detecting regions of altered brain function and connectivity abnormalities, in linking behavior with brain activity, and subgrouping affected individuals within the wide heterogeneity of ASD. The use of advanced techniques for the increase of the specificity and of spatial localization could allow finding distinctive patterns of QEEG abnormalities in ASD subjects, paving the way for the development of tailored intervention strategies.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Greece 1 <1%
United States 1 <1%
Unknown 210 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 22%
Researcher 33 15%
Student > Master 29 13%
Student > Bachelor 17 8%
Professor > Associate Professor 11 5%
Other 38 18%
Unknown 39 18%
Readers by discipline Count As %
Psychology 42 20%
Neuroscience 38 18%
Engineering 25 12%
Medicine and Dentistry 22 10%
Social Sciences 9 4%
Other 31 14%
Unknown 48 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 September 2020.
All research outputs
#7,661,806
of 25,292,378 outputs
Outputs from Frontiers in Human Neuroscience
#2,986
of 7,658 outputs
Outputs of similar age
#78,292
of 293,473 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#395
of 860 outputs
Altmetric has tracked 25,292,378 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,658 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 60% 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 293,473 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 860 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 53% of its contemporaries.