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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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Autores principales: Billeci, Lucia, Sicca, Federico, Maharatna, Koushik, Apicella, Fabio, Narzisi, Antonio, Campatelli, Giulia, Calderoni, Sara, Pioggia, Giovanni, Muratori, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733024/
https://www.ncbi.nlm.nih.gov/pubmed/23935579
http://dx.doi.org/10.3389/fnhum.2013.00442
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author Billeci, Lucia
Sicca, Federico
Maharatna, Koushik
Apicella, Fabio
Narzisi, Antonio
Campatelli, Giulia
Calderoni, Sara
Pioggia, Giovanni
Muratori, Filippo
author_facet Billeci, Lucia
Sicca, Federico
Maharatna, Koushik
Apicella, Fabio
Narzisi, Antonio
Campatelli, Giulia
Calderoni, Sara
Pioggia, Giovanni
Muratori, Filippo
author_sort Billeci, Lucia
collection PubMed
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.
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spelling pubmed-37330242013-08-09 On the Application of Quantitative EEG for Characterizing Autistic Brain: A Systematic Review Billeci, Lucia Sicca, Federico Maharatna, Koushik Apicella, Fabio Narzisi, Antonio Campatelli, Giulia Calderoni, Sara Pioggia, Giovanni Muratori, Filippo Front Hum Neurosci Neuroscience 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. Frontiers Media S.A. 2013-08-05 /pmc/articles/PMC3733024/ /pubmed/23935579 http://dx.doi.org/10.3389/fnhum.2013.00442 Text en Copyright © 2013 Billeci, Sicca, Maharatna, Apicella, Narzisi, Campatelli, Calderoni, Pioggia and Muratori. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Billeci, Lucia
Sicca, Federico
Maharatna, Koushik
Apicella, Fabio
Narzisi, Antonio
Campatelli, Giulia
Calderoni, Sara
Pioggia, Giovanni
Muratori, Filippo
On the Application of Quantitative EEG for Characterizing Autistic Brain: A Systematic Review
title 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_short 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
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3733024/
https://www.ncbi.nlm.nih.gov/pubmed/23935579
http://dx.doi.org/10.3389/fnhum.2013.00442
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