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注意缺陷多动障碍儿童接受人工智能数字疗法后冲动性降低及脑磁图正常化：一项随机对照试验

Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT.

作者信息

Bilan Danylyna Shpakivska, Chicchi Giglioli Irene Alice, Cuesta Pablo, Cañadas Elena, de Ramón Ignacio, Maestú Fernando, Alda Jose, Ramos-Quiroga Josep Antoni, Herrera Jorge A, Amado Alfonso, Quintero Javier

机构信息

Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of Madrid, Madrid, Spain.

Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28040, Madrid, Spain.

出版信息

Npj Ment Health Res. 2025 Jan 9;4(1):1. doi: 10.1038/s44184-024-00111-9.

DOI:10.1038/s44184-024-00111-9
PMID:39779908
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11711623/
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.

摘要

注意力缺陷多动障碍（ADHD）表现为冲动、注意力不集中和多动等症状，常常影响儿童的学业和社交功能。非药物干预措施，如数字认知疗法，正逐渐成为ADHD的辅助治疗方法。这项随机对照试验探讨了一个由人工智能驱动的数字认知项目对41名8至12岁ADHD儿童的冲动性、注意力不集中和神经生理指标的影响。参与者接受了为期12周的人工智能驱动治疗或安慰剂干预。在干预前后进行了评估，并通过脑磁图（MEG）分析了大脑活动。结果显示，治疗组的冲动性和注意力不集中得分显著降低，同时MEG频谱图正常化，表明神经成熟。值得注意的是，抑制控制能力的改善与颞顶叶皮质的频谱图正常化相关。与频谱图正常化相关的抑制控制能力的改善表明，人工智能驱动的数字认知疗法可以通过提高神经生理效率来降低ADHD儿童的冲动性。这强调了使用神经生理指标评估疗效的个性化、技术驱动的ADHD治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/d400b3234cd9/44184_2024_111_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/3c037a44f9f2/44184_2024_111_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/df30e75775e6/44184_2024_111_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/50af9dc0507b/44184_2024_111_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/ab9f4694b1e1/44184_2024_111_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/1834293c5477/44184_2024_111_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/d400b3234cd9/44184_2024_111_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/3c037a44f9f2/44184_2024_111_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/df30e75775e6/44184_2024_111_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/50af9dc0507b/44184_2024_111_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/ab9f4694b1e1/44184_2024_111_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/1834293c5477/44184_2024_111_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9ff/11711623/d400b3234cd9/44184_2024_111_Fig6_HTML.jpg

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引用本文的文献

[1]
Effects of digital interventions on neuroplasticity and brain function of individuals with developmental disabilities: A systematic review.

Internet Interv. 2025-7-2

本文引用的文献

[1]
Exploring the Role of Neuroplasticity in Development, Aging, and Neurodegeneration.

Brain Sci. 2023-11-21

[2]
The Minimal Clinically Important Difference Changes Greatly Based on the Different Calculation Methods.

Am J Sports Med. 2023-3

[3]
Candidate diagnostic biomarkers for neurodevelopmental disorders in children and adolescents: a systematic review.

World Psychiatry. 2023-2

[4]
Treatment biomarkers for ADHD: Taking stock and moving forward.

Transl Psychiatry. 2022-10-12

[5]
Methylphenidate, Guanfacine, and Combined Treatment Effects on Electroencephalography Correlates of Spatial Working Memory in Attention-Deficit/Hyperactivity Disorder.

J Am Acad Child Adolesc Psychiatry. 2023-1

[6]
Serious Video Games: Angels or Demons in Patients With Attention-Deficit Hyperactivity Disorder? A Quasi-Systematic Review.

Front Psychiatry. 2022-4-27

[7]
Alpha-band power increases in posterior brain regions in attention deficit hyperactivity disorder after digital cognitive stimulation treatment: randomized controlled study.

Brain Commun. 2022-2-17

[8]
A randomized controlled study of remote computerized cognitive, neurofeedback, and combined training in the treatment of children with attention-deficit/hyperactivity disorder.

Eur Child Adolesc Psychiatry. 2023-8

[9]
Longitudinal Changes of Resting-State Networks in Children With Attention-Deficit/Hyperactivity Disorder and Typically Developing Children.

Biol Psychiatry Cogn Neurosci Neuroimaging. 2023-5

[10]
The effect of video games, exergames and board games on executive functions in kindergarten and 2nd grade: An explorative longitudinal study.

Trends Neurosci Educ. 2021-12

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