Evidence map›Paper›PMID 31112554›Full record

Trial reportPloS one2019

A randomized controlled trial of a brain-computer interface based attention training program for ADHD.

Choon Guan Lim, Xue Wei Wendy Poh, Shuen Sheng Daniel Fung, Cuntai Guan, Dianne Bautista, Yin Bun Cheung, Haihong Zhang, Si Ning Yeo, Ranga Krishnan, Tih Shih Lee

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Review
  6. Article
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  8. Review
  9. A Wearable Brain-Computer Interface for Mitigating Car Sickness via Attention Shifting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
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  12. Article
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  14. Article
  15. Article
  16. Review
  17. Advances in Stroke Neurorehabilitation.Journal of clinical medicine · 2023
    Review
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  19. Article
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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

10 authors.

Choon Guan LimDepartment of Child and Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0001-5296-6745
Xue Wei Wendy PohDepartment of Child and Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore.
Shuen Sheng Daniel FungDepartment of Child and Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore.
Cuntai GuanSchool of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Dianne BautistaDepartment of Biostatistics, Singapore Clinical Research Institute, Singapore, Singapore.
Yin Bun CheungDepartment of Biostatistics, Singapore Clinical Research Institute, Singapore, Singapore.
Haihong ZhangNeural & Biomedical Technology Department, Institute for Infocomm Research A*STAR, Singapore, Singapore.
Si Ning YeoNeuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Ranga KrishnanNeuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Tih Shih LeeNeuroscience and Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe use of brain-computer interface in neurofeedback therapy for attention deficit hyperactivity disorder (ADHD) is a relatively new approach. We conducted a randomized controlled trial (RCT) to determine whether an 8-week brain computer interface (BCI)-based attention training program improved inattentive symptoms in children with ADHD compared to a waitlist-control group, and the effects of a subsequent 12-week lower-intensity training. STUDY

designWe randomized 172 children aged 6-12 attending an outpatient child psychiatry clinic diagnosed with inattentive or combined subtypes of ADHD and not receiving concurrent pharmacotherapy or behavioral intervention to either the intervention or waitlist-control group. Intervention involved 3 sessions of BCI-based training for 8 weeks, followed by 3 training sessions per month over the subsequent 12 weeks. The waitlist-control group received similar 20-week intervention after a wait-time of 8 weeks.

resultsThe participants' mean age was 8.6 years (SD = 1.51), with 147 males (85.5%) and 25 females (14.5%). Modified intention to treat analyzes conducted on 163 participants with at least one follow-up rating showed that at 8 weeks, clinician-rated inattentive symptoms on the ADHD-Rating Scale (ADHD-RS) was reduced by 3.5 (SD 3.97) in the intervention group compared to 1.9 (SD 4.42) in the waitlist-control group (between-group difference of 1.6; 95% CI 0.3 to 2.9 p = 0.0177). At the end of the full 20-week treatment, the mean reduction (pre-post BCI) of the pooled group was 3.2 (95% CI 2.4 to 4.1).

conclusionThe results suggest that the BCI-based attention training program can improve ADHD symptoms after a minimum of 24 sessions and maintenance training may sustain this improvement. This intervention may be an option for treating milder cases or as an adjunctive treatment.

Indexed as

AttentionBrain-Computer InterfacesAttention Deficit Disorder with HyperactivityBehavior TherapyChildEducationFemaleHumansMaleTreatment Outcome

Identifiers

PMID31112554
PMCPMC6528992

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Registered trials

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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 OpenQuestion graph.