On the application of Quantitative EEG for characterizing autistic brain: a systematic review

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...

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Main Authors: Lucia eBilleci, Federico eSicca, Koushik eMaharatna, Fabio eApicella, Antonio eNarzisi, Giulia eCampatelli, Sara eCalderoni, Giovanni ePioggia, Filippo eMuratori
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-08-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00442/full
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spelling doaj-c04258ea4e0d44d08a87e11d80cda1072020-11-25T03:14:54ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612013-08-01710.3389/fnhum.2013.0044249240On the application of Quantitative EEG for characterizing autistic brain: a systematic reviewLucia eBilleci0Federico eSicca1Koushik eMaharatna2Fabio eApicella3Antonio eNarzisi4Antonio eNarzisi5Giulia eCampatelli6Sara eCalderoni7Giovanni ePioggia8Filippo eMuratori9Filippo eMuratori10National Research Council of ItalyIRCCS Stella Maris FoundationUniversity of SouthamptonIRCCS Stella Maris FoundationIRCCS Stella Maris FoundationDepartment of Developmental Medicine, University of PisaIRCCS Stella Maris FoundationIRCCS Stella Maris FoundationNational Research Council of ItalyIRCCS Stella Maris FoundationDepartment of Developmental Medicine, University of PisaAutism 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.http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00442/fullasymmetryAutism spectrum disorder (ASD)coherencequantitative electroencephalography (QEEG)nonlinear techniques
collection DOAJ
language English
format Article
sources DOAJ
author Lucia eBilleci
Federico eSicca
Koushik eMaharatna
Fabio eApicella
Antonio eNarzisi
Antonio eNarzisi
Giulia eCampatelli
Sara eCalderoni
Giovanni ePioggia
Filippo eMuratori
Filippo eMuratori
spellingShingle Lucia eBilleci
Federico eSicca
Koushik eMaharatna
Fabio eApicella
Antonio eNarzisi
Antonio eNarzisi
Giulia eCampatelli
Sara eCalderoni
Giovanni ePioggia
Filippo eMuratori
Filippo eMuratori
On the application of Quantitative EEG for characterizing autistic brain: a systematic review
Frontiers in Human Neuroscience
asymmetry
Autism spectrum disorder (ASD)
coherence
quantitative electroencephalography (QEEG)
nonlinear techniques
author_facet Lucia eBilleci
Federico eSicca
Koushik eMaharatna
Fabio eApicella
Antonio eNarzisi
Antonio eNarzisi
Giulia eCampatelli
Sara eCalderoni
Giovanni ePioggia
Filippo eMuratori
Filippo eMuratori
author_sort Lucia eBilleci
title On the application of Quantitative EEG for characterizing autistic brain: a systematic review
title_short On the application of Quantitative EEG for characterizing autistic brain: a systematic review
title_full On the application of Quantitative EEG for characterizing autistic brain: a systematic review
title_fullStr On the application of Quantitative EEG for characterizing autistic brain: a systematic review
title_full_unstemmed On the application of Quantitative EEG for characterizing autistic brain: a systematic review
title_sort on the application of quantitative eeg for characterizing autistic brain: a systematic review
publisher Frontiers Media S.A.
series Frontiers in Human Neuroscience
issn 1662-5161
publishDate 2013-08-01
description 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.
topic asymmetry
Autism spectrum disorder (ASD)
coherence
quantitative electroencephalography (QEEG)
nonlinear techniques
url http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00442/full
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