A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder

A systematic review on electroencephalographic (EEG)-based feature extraction strategies to diagnosis and therapy of attention deficit hyperactivity disorder (ADHD) in children is presented. The analysis is realized at an executive function level to improve the research of neurocorrelates of heterog...

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Autores principales: Arpaia, Pasquale, Covino, Attilio, Cristaldi, Loredana, Frosolone, Mirco, Gargiulo, Ludovica, Mancino, Francesca, Mantile, Federico, Moccaldi, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269717/
https://www.ncbi.nlm.nih.gov/pubmed/35808424
http://dx.doi.org/10.3390/s22134934
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author Arpaia, Pasquale
Covino, Attilio
Cristaldi, Loredana
Frosolone, Mirco
Gargiulo, Ludovica
Mancino, Francesca
Mantile, Federico
Moccaldi, Nicola
author_facet Arpaia, Pasquale
Covino, Attilio
Cristaldi, Loredana
Frosolone, Mirco
Gargiulo, Ludovica
Mancino, Francesca
Mantile, Federico
Moccaldi, Nicola
author_sort Arpaia, Pasquale
collection PubMed
description A systematic review on electroencephalographic (EEG)-based feature extraction strategies to diagnosis and therapy of attention deficit hyperactivity disorder (ADHD) in children is presented. The analysis is realized at an executive function level to improve the research of neurocorrelates of heterogeneous disorders such as ADHD. The Quality Assessment Tool for Quantitative Studies (QATQS) and field-weighted citation impact metric (Scopus) were used to assess the methodological rigor of the studies and their impact on the scientific community, respectively. One hundred and one articles, concerning the diagnostics and therapy of ADHD children aged from 8 to 14, were collected. Event-related potential components were mainly exploited for executive functions related to the cluster inhibition, whereas band power spectral density is the most considered EEG feature for executive functions related to the cluster working memory. This review identifies the most used (also by rigorous and relevant articles) EEG signal processing strategies for executive function assessment in ADHD.
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spelling pubmed-92697172022-07-09 A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder Arpaia, Pasquale Covino, Attilio Cristaldi, Loredana Frosolone, Mirco Gargiulo, Ludovica Mancino, Francesca Mantile, Federico Moccaldi, Nicola Sensors (Basel) Review A systematic review on electroencephalographic (EEG)-based feature extraction strategies to diagnosis and therapy of attention deficit hyperactivity disorder (ADHD) in children is presented. The analysis is realized at an executive function level to improve the research of neurocorrelates of heterogeneous disorders such as ADHD. The Quality Assessment Tool for Quantitative Studies (QATQS) and field-weighted citation impact metric (Scopus) were used to assess the methodological rigor of the studies and their impact on the scientific community, respectively. One hundred and one articles, concerning the diagnostics and therapy of ADHD children aged from 8 to 14, were collected. Event-related potential components were mainly exploited for executive functions related to the cluster inhibition, whereas band power spectral density is the most considered EEG feature for executive functions related to the cluster working memory. This review identifies the most used (also by rigorous and relevant articles) EEG signal processing strategies for executive function assessment in ADHD. MDPI 2022-06-29 /pmc/articles/PMC9269717/ /pubmed/35808424 http://dx.doi.org/10.3390/s22134934 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Arpaia, Pasquale
Covino, Attilio
Cristaldi, Loredana
Frosolone, Mirco
Gargiulo, Ludovica
Mancino, Francesca
Mantile, Federico
Moccaldi, Nicola
A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder
title A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder
title_full A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder
title_fullStr A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder
title_full_unstemmed A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder
title_short A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder
title_sort systematic review on feature extraction in electroencephalography-based diagnostics and therapy in attention deficit hyperactivity disorder
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269717/
https://www.ncbi.nlm.nih.gov/pubmed/35808424
http://dx.doi.org/10.3390/s22134934
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