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A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder
Attention deficit hyperactivity disorder (ADHD) symptoms can be difficult to treat. We previously reported that a 20-session brain-computer interface (BCI) attention training programme improved ADHD symptoms. Here, we investigated a new more intensive BCI-based attention training game system on 20 u...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480363/ https://www.ncbi.nlm.nih.gov/pubmed/23115630 http://dx.doi.org/10.1371/journal.pone.0046692 |
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author | Lim, Choon Guan Lee, Tih Shih Guan, Cuntai Fung, Daniel Shuen Sheng Zhao, Yudong Teng, Stephanie Sze Wei Zhang, Haihong Krishnan, K. Ranga Rama |
author_facet | Lim, Choon Guan Lee, Tih Shih Guan, Cuntai Fung, Daniel Shuen Sheng Zhao, Yudong Teng, Stephanie Sze Wei Zhang, Haihong Krishnan, K. Ranga Rama |
author_sort | Lim, Choon Guan |
collection | PubMed |
description | Attention deficit hyperactivity disorder (ADHD) symptoms can be difficult to treat. We previously reported that a 20-session brain-computer interface (BCI) attention training programme improved ADHD symptoms. Here, we investigated a new more intensive BCI-based attention training game system on 20 unmedicated ADHD children (16 males, 4 females) with significant inattentive symptoms (combined and inattentive ADHD subtypes). This new system monitored attention through a head band with dry EEG sensors, which was used to drive a feed forward game. The system was calibrated for each user by measuring the EEG parameters during a Stroop task. Treatment consisted of an 8-week training comprising 24 sessions followed by 3 once-monthly booster training sessions. Following intervention, both parent-rated inattentive and hyperactive-impulsive symptoms on the ADHD Rating Scale showed significant improvement. At week 8, the mean improvement was −4.6 (5.9) and −4.7 (5.6) respectively for inattentive symptoms and hyperactive-impulsive symptoms (both p<0.01). Cohen’s d effect size for inattentive symptoms was large at 0.78 at week 8 and 0.84 at week 24 (post-boosters). Further analysis showed that the change in the EEG based BCI ADHD severity measure correlated with the change ADHD Rating Scale scores. The BCI-based attention training game system is a potential new treatment for ADHD. TRIAL REGISTRATION: ClinicalTrials.gov NCT01344044 |
format | Online Article Text |
id | pubmed-3480363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-34803632012-10-31 A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder Lim, Choon Guan Lee, Tih Shih Guan, Cuntai Fung, Daniel Shuen Sheng Zhao, Yudong Teng, Stephanie Sze Wei Zhang, Haihong Krishnan, K. Ranga Rama PLoS One Research Article Attention deficit hyperactivity disorder (ADHD) symptoms can be difficult to treat. We previously reported that a 20-session brain-computer interface (BCI) attention training programme improved ADHD symptoms. Here, we investigated a new more intensive BCI-based attention training game system on 20 unmedicated ADHD children (16 males, 4 females) with significant inattentive symptoms (combined and inattentive ADHD subtypes). This new system monitored attention through a head band with dry EEG sensors, which was used to drive a feed forward game. The system was calibrated for each user by measuring the EEG parameters during a Stroop task. Treatment consisted of an 8-week training comprising 24 sessions followed by 3 once-monthly booster training sessions. Following intervention, both parent-rated inattentive and hyperactive-impulsive symptoms on the ADHD Rating Scale showed significant improvement. At week 8, the mean improvement was −4.6 (5.9) and −4.7 (5.6) respectively for inattentive symptoms and hyperactive-impulsive symptoms (both p<0.01). Cohen’s d effect size for inattentive symptoms was large at 0.78 at week 8 and 0.84 at week 24 (post-boosters). Further analysis showed that the change in the EEG based BCI ADHD severity measure correlated with the change ADHD Rating Scale scores. The BCI-based attention training game system is a potential new treatment for ADHD. TRIAL REGISTRATION: ClinicalTrials.gov NCT01344044 Public Library of Science 2012-10-24 /pmc/articles/PMC3480363/ /pubmed/23115630 http://dx.doi.org/10.1371/journal.pone.0046692 Text en © 2012 Lim et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Lim, Choon Guan Lee, Tih Shih Guan, Cuntai Fung, Daniel Shuen Sheng Zhao, Yudong Teng, Stephanie Sze Wei Zhang, Haihong Krishnan, K. Ranga Rama A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder |
title | A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder |
title_full | A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder |
title_fullStr | A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder |
title_full_unstemmed | A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder |
title_short | A Brain-Computer Interface Based Attention Training Program for Treating Attention Deficit Hyperactivity Disorder |
title_sort | brain-computer interface based attention training program for treating attention deficit hyperactivity disorder |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480363/ https://www.ncbi.nlm.nih.gov/pubmed/23115630 http://dx.doi.org/10.1371/journal.pone.0046692 |
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