Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT
Abstract Attention-deficit/hyperactivity disorder (ADHD) presents with symptoms like impulsiveness, inattention, and hyperactivity, often affecting children’s academic and social functioning. Non-pharmacological interventions, such as digital cognitive therapy, are emerging as complementary treatmen...
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Language: | English |
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Nature Portfolio
2025-01-01
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Series: | npj Mental Health Research |
Online Access: | https://doi.org/10.1038/s44184-024-00111-9 |
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author | Danylyna Shpakivska Bilan Irene Alice Chicchi Giglioli Pablo Cuesta Elena Cañadas Ignacio de Ramón Fernando Maestú Jose Alda Josep Antoni Ramos-Quiroga Jorge A. Herrera Alfonso Amado Javier Quintero |
author_facet | Danylyna Shpakivska Bilan Irene Alice Chicchi Giglioli Pablo Cuesta Elena Cañadas Ignacio de Ramón Fernando Maestú Jose Alda Josep Antoni Ramos-Quiroga Jorge A. Herrera Alfonso Amado Javier Quintero |
author_sort | Danylyna Shpakivska Bilan |
collection | DOAJ |
description | Abstract Attention-deficit/hyperactivity disorder (ADHD) presents with symptoms like impulsiveness, inattention, and hyperactivity, often affecting children’s academic and social functioning. Non-pharmacological interventions, such as digital cognitive therapy, are emerging as complementary treatments for ADHD. The randomized controlled trial explored the impact of an AI-driven digital cognitive program on impulsiveness, inattentiveness, and neurophysiological markers in 41 children aged 8–12 with ADHD. Participants received either 12 weeks of AI-driven therapy or a placebo intervention. Assessments were conducted pre- and post-intervention and magnetoencephalography (MEG) analyzed brain activity. Results showed significant reductions in impulsiveness and inattentiveness scores in the treatment group, associated with normalized MEG spectral profiles, indicating neuromaturation. Notably, improvements in inhibitory control correlated with spectral profile normalization in the parieto-temporal cortex. Improvements in inhibitory control, linked to normalized spectral profiles, suggest AI-driven digital cognitive therapy can reduce impulsiveness in ADHD children by enhancing neurophysiological efficiency. This emphasizes personalized, technology-driven ADHD treatment, using neurophysiological markers for assessing efficacy. |
format | Article |
id | doaj-art-40ea661833194353baabade55ef1f383 |
institution | Kabale University |
issn | 2731-4251 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | npj Mental Health Research |
spelling | doaj-art-40ea661833194353baabade55ef1f3832025-01-12T12:45:03ZengNature Portfolionpj Mental Health Research2731-42512025-01-014111410.1038/s44184-024-00111-9Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCTDanylyna Shpakivska Bilan0Irene Alice Chicchi Giglioli1Pablo Cuesta2Elena Cañadas3Ignacio de Ramón4Fernando Maestú5Jose Alda6Josep Antoni Ramos-Quiroga7Jorge A. Herrera8Alfonso Amado9Javier Quintero10Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of MadridSincrolab LtdCenter for Cognitive and Computational Neuroscience, Complutense University of MadridSincrolab LtdSincrolab LtdDepartment of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of MadridChildren and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de DéuDepartment of Psychiatry, Hospital Universitari Vall d’HebronNeurobehavioral Institute of MiamiNeuropediatrics Unit, University Hospital of VigoDepartment of Psychiatry, University Hospital Infanta LeonorAbstract Attention-deficit/hyperactivity disorder (ADHD) presents with symptoms like impulsiveness, inattention, and hyperactivity, often affecting children’s academic and social functioning. Non-pharmacological interventions, such as digital cognitive therapy, are emerging as complementary treatments for ADHD. The randomized controlled trial explored the impact of an AI-driven digital cognitive program on impulsiveness, inattentiveness, and neurophysiological markers in 41 children aged 8–12 with ADHD. Participants received either 12 weeks of AI-driven therapy or a placebo intervention. Assessments were conducted pre- and post-intervention and magnetoencephalography (MEG) analyzed brain activity. Results showed significant reductions in impulsiveness and inattentiveness scores in the treatment group, associated with normalized MEG spectral profiles, indicating neuromaturation. Notably, improvements in inhibitory control correlated with spectral profile normalization in the parieto-temporal cortex. Improvements in inhibitory control, linked to normalized spectral profiles, suggest AI-driven digital cognitive therapy can reduce impulsiveness in ADHD children by enhancing neurophysiological efficiency. This emphasizes personalized, technology-driven ADHD treatment, using neurophysiological markers for assessing efficacy.https://doi.org/10.1038/s44184-024-00111-9 |
spellingShingle | Danylyna Shpakivska Bilan Irene Alice Chicchi Giglioli Pablo Cuesta Elena Cañadas Ignacio de Ramón Fernando Maestú Jose Alda Josep Antoni Ramos-Quiroga Jorge A. Herrera Alfonso Amado Javier Quintero Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT npj Mental Health Research |
title | Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT |
title_full | Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT |
title_fullStr | Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT |
title_full_unstemmed | Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT |
title_short | Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT |
title_sort | decreased impulsiveness and meg normalization after ai digital therapy in adhd children a rct |
url | https://doi.org/10.1038/s44184-024-00111-9 |
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