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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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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. |
format | Online Article Text |
id | pubmed-3733024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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