Evidence map›Paper›PMID 39493886›Full record

ArticleiScience2024

Neuromonitoring-guided working memory intervention in children with ADHD.

Ali Rahimpour Jounghani, Elveda Gozdas, Lauren Dacorro, Bárbara Avelar-Pereira, Samantha Reitmaier, Hannah Fingerhut, David S Hong, Glen Elliott, Antonio Y Hardan, Stephen P Hinshaw and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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.

Ali Rahimpour JounghaniC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Elveda GozdasC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Lauren DacorroC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Bárbara Avelar-PereiraC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Samantha ReitmaierC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Hannah FingerhutC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
David S HongC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Glen ElliottC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Antonio Y HardanC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Stephen P HinshawDepartment of Psychology, University of California, Berkeley, Berkeley, CA, USA.
S M Hadi HosseiniC-BRAIN Lab, Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.

Funding

Microstructural changes in gray and white matter in aging and ADR01AG073362 · NIA · STANFORD UNIVERSITY · PI Hadi Hosseini · 2022 to 2026
$3.7M
Interactive Effects of Aging and AD on Brain NetworksR01AG072470 · NIA · STANFORD UNIVERSITY · PI Hadi Hosseini · 2022 to 2026
$2.9M
A Novel Neuromonitoring Guided Cognitive Intervention for Targeted Enhancement of Working MemoryR61MH119289 · NIMH · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2021
$787k
A Wearable Optical Imaging System for Daily Monitoring of Prefrontal Activity in ADHDR21MH123873 · NIMH · STANFORD UNIVERSITY · PI BOWDEN, AUDREY KYNSELLA, HOSSEINI, HADI · 2020 to 2020
$443k
Development of a cost-effective and neurobiologically valid VR assessment tool for early detection of ADR21AG073973 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2021 to 2022
$433k
Multi-dimensional network framework for AD detection and progressionR21AG064263 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2020
$430k
NIA NIH HHS R01 AG072470NIA NIH HHS R01 AG073362NIA NIH HHS R21 AG064263NIA NIH HHS R21 AG073973NIMH NIH HHS R21 MH123873NIMH NIH HHS R61 MH119289
6 · The paper itself

Abstract

We proposed a personalized intervention that integrates computerized working memory (WM) training with real-time functional neuromonitoring and neurofeedback (NFB) to enhance frontoparietal activity and improve cognitive and clinical outcomes in children with attention-deficit/hyperactivity disorder (ADHD). The study involved 77 children with ADHD aged 7-11 years, who were assigned to either 12 sessions of NFB or treatment-as-usual (i.e., received standard clinical care) groups. Real-time neuromonitoring with functional near-infrared spectroscopy (fNIRS) and fMRI measured frontoparietal activity during n-back task at baseline and post-intervention. Thirty-six participants (21 NFB, 15 treatment-as-usual) completed the study. Significant improvements in NFB group were observed in frontoparietal brain activity and WM performance (primary outcomes). NFB group also showed improvements in Behavior Rating Inventory of Executive Function (BRIEF-2) WM t-scores and Conners 3 ADHD index scores (secondary outcomes) compared to treatment-as-usual group. These findings suggest that neuromonitoring-guided NFB effectively enhances cognitive and clinical outcomes in children with ADHD by targeting brain mechanisms underlying WM deficits.

Indexed as

Clinical neuroscienceCognitive neuroscienceNeuroscience

Identifiers

PMID39493886
PMCPMC11530911

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.