Evidence map›Paper›PMID 32047706›Full record

ArticleClinical psychological science : a journal of the Association for Psychological Science2019

Cognitive Modeling Suggests That Attentional Failures Drive Longer Stop-Signal Reaction Time Estimates in Attention Deficit/Hyperactivity Disorder.

Alexander Weigard, Andrew Heathcote, Dora Matzke, Cynthia Huang-Pollock

Open access · greenAbstract read
In one paragraph

Article in Clinical psychological science : a journal of the Association for Psychological Science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.8field-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

27 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
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  5. Model-based analysis of stop-signal data reveals robust neural and clinical correlates of evidence accumulation but not inhibition.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  18. Review
  19. The ABCD stop signal data: Response to Bissett et al.Developmental cognitive neuroscience · 2022
    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

4 authors at 4 institutions in 3 countries.

Alexander WeigardDepartment of Psychiatry, Addiction Center, University of Michigan.
Andrew HeathcoteSchool of Medicine, University of Tasmania, Australia.
Dora MatzkeDepartment of Psychology, University of Amsterdam, The Netherlands.
Cynthia Huang-PollockDepartment of Psychology, Penn State University.
Pennsylvania State University · USUniversity of Amsterdam · NLUniversity of Michigan–Ann Arbor · USUniversity of Tasmania · AU

Funding

MULTIDISCIPLINARY ALCOHOLISM RESEARCH TRAINING PROGRAMT32AA007477 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Maureen A. Walton · 1990 to 2026
$7.4M
Social and Academic Problems in ADHD: The Role of Implicit and Explicit LearningR01MH084947 · NIMH · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG-POLLOCK, CYNTHIA L · 2010 to 2014
$1.8M
EPA EP-C-15-010NIAAA NIH HHS T32 AA007477NIMH NIH HHS R01 MH084947
6 · The paper itself

Abstract

Mean stop-signal reaction time (SSRT) is frequently employed as a measure of response inhibition in cognitive neuroscience research on ADHD. However, this measurement model is limited by two factors which may bias SSRT estimation in this population: 1) excessive skew in "go" RT distributions, and 2) trigger failures, or instances in which individuals fail to trigger an inhibition process in response to the "stop" signal. We use a Bayesian parametric approach, which allows unbiased estimation of the shape of entire SSRT distributions and the probability of trigger failures, to clarify mechanisms of stop-signal task deficits in ADHD. Children with ADHD displayed greater positive skew than their peers in both "go" RT and SSRT distributions. However, they also displayed more frequent trigger failures, which appeared to drive ADHD-related stopping difficulties. Results suggest that stop-signal task performance in ADHD reflects impairments in early attentional processes, rather than inefficiency in the stop process.

Identifiers

PMID32047706
PMCPMC7011120
OpenAlexW2937540989

What OpenQuestion holds

Textmetadata
LicenceTDM
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.