Evidence mapPaperPMID 39779908Full record

ArticleNpj mental health research2025

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

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 and 1 more

Abstract read
In one paragraph

Article in Npj mental health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Danylyna Shpakivska Bilan *Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of Madrid, Madrid, Spain.
Irene Alice Chicchi Giglioli *Sincrolab Ltd, Madrid, Spain. alice@sincrolab.es.
Pablo Cuesta *Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28040, Madrid, Spain.
Elena CañadasSincrolab Ltd, Madrid, Spain.
Ignacio de Ramón *Sincrolab Ltd, Madrid, Spain.
Fernando MaestúDepartment of Experimental Psychology, Cognitive Processes and Speech Therapy, Complutense University of Madrid, Madrid, Spain.
Jose AldaChildren and Adolescent Mental Health Research Group, Institut de Recerca Sant Joan de Déu, Santa Rosa, Esplugues de Llobregat, Spain.
Josep Antoni Ramos-QuirogaDepartment of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain.
Jorge A HerreraNeurobehavioral Institute of Miami, Miami, FL, USA.
Alfonso AmadoNeuropediatrics Unit, University Hospital of Vigo, Vigo, Spain.
Javier QuinteroDepartment of Psychiatry, University Hospital Infanta Leonor, 28031, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID39779908
PMCPMC11711623

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.