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Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset
Attentional biomarkers in attention deficit hyperactivity disorder are difficult to detect using only behavioural testing. We explored whether attention measured by a low-cost EEG system might be helpful to detect a possible disorder at its earliest stages. The GokEvolution application was designed...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124980/ https://www.ncbi.nlm.nih.gov/pubmed/34066492 http://dx.doi.org/10.3390/s21093221 |
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author | Serrano-Barroso, Almudena Siugzdaite, Roma Guerrero-Cubero, Jaime Molina-Cantero, Alberto J. Gomez-Gonzalez, Isabel M. Lopez, Juan Carlos Vargas, Juan Pedro |
author_facet | Serrano-Barroso, Almudena Siugzdaite, Roma Guerrero-Cubero, Jaime Molina-Cantero, Alberto J. Gomez-Gonzalez, Isabel M. Lopez, Juan Carlos Vargas, Juan Pedro |
author_sort | Serrano-Barroso, Almudena |
collection | PubMed |
description | Attentional biomarkers in attention deficit hyperactivity disorder are difficult to detect using only behavioural testing. We explored whether attention measured by a low-cost EEG system might be helpful to detect a possible disorder at its earliest stages. The GokEvolution application was designed to train attention and to provide a measure to identify attentional problems in children early on. Attention changes registered with NeuroSky MindWave in combination with the CARAS-R psychological test were used to characterise the attentional profiles of 52 non-ADHD and 23 ADHD children aged 7 to 12 years old. The analyses revealed that the GokEvolution was valuable in measuring attention through its use of EEG–BCI technology. The ADHD group showed lower levels of attention and more variability in brain attentional responses when compared to the control group. The application was able to map the low attention profiles of the ADHD group when compared to the control group and could distinguish between participants who completed the task and those who did not. Therefore, this system could potentially be used in clinical settings as a screening tool for early detection of attentional traits in order to prevent their development. |
format | Online Article Text |
id | pubmed-8124980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81249802021-05-17 Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset Serrano-Barroso, Almudena Siugzdaite, Roma Guerrero-Cubero, Jaime Molina-Cantero, Alberto J. Gomez-Gonzalez, Isabel M. Lopez, Juan Carlos Vargas, Juan Pedro Sensors (Basel) Article Attentional biomarkers in attention deficit hyperactivity disorder are difficult to detect using only behavioural testing. We explored whether attention measured by a low-cost EEG system might be helpful to detect a possible disorder at its earliest stages. The GokEvolution application was designed to train attention and to provide a measure to identify attentional problems in children early on. Attention changes registered with NeuroSky MindWave in combination with the CARAS-R psychological test were used to characterise the attentional profiles of 52 non-ADHD and 23 ADHD children aged 7 to 12 years old. The analyses revealed that the GokEvolution was valuable in measuring attention through its use of EEG–BCI technology. The ADHD group showed lower levels of attention and more variability in brain attentional responses when compared to the control group. The application was able to map the low attention profiles of the ADHD group when compared to the control group and could distinguish between participants who completed the task and those who did not. Therefore, this system could potentially be used in clinical settings as a screening tool for early detection of attentional traits in order to prevent their development. MDPI 2021-05-06 /pmc/articles/PMC8124980/ /pubmed/34066492 http://dx.doi.org/10.3390/s21093221 Text en © 2021 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 | Article Serrano-Barroso, Almudena Siugzdaite, Roma Guerrero-Cubero, Jaime Molina-Cantero, Alberto J. Gomez-Gonzalez, Isabel M. Lopez, Juan Carlos Vargas, Juan Pedro Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset |
title | Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset |
title_full | Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset |
title_fullStr | Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset |
title_full_unstemmed | Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset |
title_short | Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset |
title_sort | detecting attention levels in adhd children with a video game and the measurement of brain activity with a single-channel bci headset |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124980/ https://www.ncbi.nlm.nih.gov/pubmed/34066492 http://dx.doi.org/10.3390/s21093221 |
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