Evidence map›Paper›PMID 30097579›Full record

Trial reportTranslational psychiatry2018

Brain-computer-interface-based intervention re-normalizes brain functional network topology in children with attention deficit/hyperactivity disorder.

Xing Qian, Beatrice Rui Yi Loo, Francisco Xavier Castellanos, Siwei Liu, Hui Li Koh, Xue Wei Wendy Poh, Ranga Krishnan, Daniel Fung, Michael Wl Chee, Cuntai Guan and 3 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 5 pooled it
4.3field-weighted citation impact, top 5% of its field
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

33 citing papers in PubMed, 5 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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  20. Analysis of the Status and Future Direction for Digital Therapeutics in Children and Adolescent Psychiatry.Journal of the Korean Academy of Child and Adolescent Psychiatry · 2023
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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

13 authors at 5 institutions in 2 countries.

Xing QianCenter for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Beatrice Rui Yi LooCenter for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Francisco Xavier CastellanosNYU Child Study Center, NYU Langone Medical Center, New York City, NY, USA.
Siwei LiuCenter for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Hui Li KohCenter for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Xue Wei Wendy PohDepartment of Child and Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore.
Ranga KrishnanCenter for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Daniel FungDepartment of Child and Adolescent Psychiatry, Institute of Mental Health, Singapore, Singapore.
Michael Wl CheeCenter for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.ORCID http://orcid.org/0000-0002-6087-0548
Cuntai GuanSchool of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Tih-Shih LeeCenter for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Choon Guan LimSchool of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Juan ZhouCenter for Cognitive Neuroscience, Neuroscience & Behavioral Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore. helen.zhou@duke-nus.edu.sg.ORCID http://orcid.org/0000-0002-0180-8648
National University of Singapore · SGInstitute of Mental Health · SGNanyang Technological University · SGAgency for Science, Technology and Research · SGNYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A brain-computer-interface (BCI)-based attention training game system has shown promise for treating attention deficit/hyperactivity disorder (ADHD) children with inattentive symptoms. However, little is known about brain network organizational changes underlying behavior improvement following BCI-based training. To cover this gap, we aimed to examine the topological alterations of large-scale brain functional networks induced by the 8-week BCI-based attention intervention in ADHD boys using resting-state functional magnetic resonance imaging method. Compared to the non-intervention (ADHD-NI) group, the intervention group (ADHD-I) showed greater reduction of inattention symptoms accompanied with differential brain network reorganizations after training. Specifically, the ADHD-NI group had increased functional connectivity (FC) within the salience/ventral attention network (SVN) and increased FC between task-positive networks (including the SVN, dorsal attention (DAN), somatomotor, and executive control network) and subcortical regions; in contrast ADHD-I group did not have this pattern. In parallel, ADHD-I group had reduced degree centrality and clustering coefficient as well as increased closeness in task-positive and the default mode networks (prefrontal regions) after the training. More importantly, these reduced local functional processing mainly in the SVN were associated with less inattentive/internalizing problems after 8-week BCI-based intervention across ADHD patients. Our findings suggest that the BCI-based attention training facilitates behavioral improvement in ADHD children by reorganizing brain functional network from more regular to more random configurations, particularly renormalizing salience network processing. Future long-term longitudinal neuroimaging studies are needed to develop the BCI-based intervention approach to promote brain maturation in ADHD.

Indexed as

Brain-Computer InterfacesMagnetic Resonance ImagingAttention Deficit Disorder with HyperactivityBrainBrain MappingChildCluster AnalysisDefense MechanismsExecutive FunctionHumansMaleNeural PathwaysPsychomotor AgitationSingapore

Identifiers

PMID30097579
PMCPMC6086861
OpenAlexW2886481955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.