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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/9/3221 |
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| author | Almudena Serrano-Barroso Roma Siugzdaite Jaime Guerrero-Cubero Alberto J. Molina-Cantero Isabel M. Gomez-Gonzalez Juan Carlos Lopez Juan Pedro Vargas |
| author_facet | Almudena Serrano-Barroso Roma Siugzdaite Jaime Guerrero-Cubero Alberto J. Molina-Cantero Isabel M. Gomez-Gonzalez Juan Carlos Lopez Juan Pedro Vargas |
| author_sort | Almudena Serrano-Barroso |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T11:40:39Z |
| format | Article |
| id | doaj.art-a85b9401af60459eaeebb979e25eda66 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:40:39Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a85b9401af60459eaeebb979e25eda662023-11-21T18:33:39ZengMDPI AGSensors1424-82202021-05-01219322110.3390/s21093221Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI HeadsetAlmudena Serrano-Barroso0Roma Siugzdaite1Jaime Guerrero-Cubero2Alberto J. Molina-Cantero3Isabel M. Gomez-Gonzalez4Juan Carlos Lopez5Juan Pedro Vargas6Department of Experimental Psychology, Faculty of Psychology, Universidad de Sevilla, 41018 Seville, SpainDepartment of Experimental Psychology, Faculty of Psychology and Educational Sciences, University of Ghent, 9000 Ghent, BelgiumDepartment of Electronic Technology, ETSI Computer Engineering, Universidad de Sevilla, 41018 Seville, SpainDepartment of Electronic Technology, ETSI Computer Engineering, Universidad de Sevilla, 41018 Seville, SpainDepartment of Electronic Technology, ETSI Computer Engineering, Universidad de Sevilla, 41018 Seville, SpainDepartment of Experimental Psychology, Faculty of Psychology, Universidad de Sevilla, 41018 Seville, SpainDepartment of Experimental Psychology, Faculty of Psychology, Universidad de Sevilla, 41018 Seville, SpainAttentional 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.https://www.mdpi.com/1424-8220/21/9/3221attentionbrain–computer interface (BCI)preventionearly detectionADHDneurofeedback |
| spellingShingle | Almudena Serrano-Barroso Roma Siugzdaite Jaime Guerrero-Cubero Alberto J. Molina-Cantero Isabel M. Gomez-Gonzalez Juan Carlos Lopez Juan Pedro Vargas Detecting Attention Levels in ADHD Children with a Video Game and the Measurement of Brain Activity with a Single-Channel BCI Headset Sensors attention brain–computer interface (BCI) prevention early detection ADHD neurofeedback |
| 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 | attention brain–computer interface (BCI) prevention early detection ADHD neurofeedback |
| url | https://www.mdpi.com/1424-8220/21/9/3221 |
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