Evidence map›Paper›PMID 41868475›Full record

ArticleComputational brain & behavior2026

Joint Cognitive Models Reveal Sources of Robust Individual Differences in Conflict Processing.

M Fiona Molloy, Taraz G Lee, John Jonides, Han Zhang, Jacob Sellers, Andrew Heathcote, Chandra Sripada, Alexander S Weigard

Abstract read
In one paragraph

Article in Computational brain & behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

8 authors.

M Fiona MolloyDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Taraz G LeeDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.
John JonidesDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.
Han ZhangDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.
Jacob SellersDepartment of Psychology, University of Michigan, Ann Arbor, MI, USA.
Andrew HeathcoteDepartment of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands.
Chandra SripadaDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
Alexander S WeigardDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, USA.

Funding

MULTIDISCIPLINARY ALCOHOLISM RESEARCH TRAINING PROGRAMT32AA007477 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Maureen A. Walton · 1990 to 2026
$7.4M
Establishing Network Neuroscience Mechanisms of Efficiency of Evidence Accumulation in a Well-Characterized Sample with Bipolar Disorder: A Multi-Modal Clinical Imaging StudyR01MH130348 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Chandra Sekhar Sripada · 2022 to 2026
$3.6M
Leveraging computational models of neurocognition to improve predictions about individual youths' risk for substance use disordersK23DA051561 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIGARD, ALEXANDER · 2021 to 2025
$983k
Investigating interference-control in ADHD using a novel forced-response methodR21MH129909 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JONIDES, JOHN · 2023 to 2024
$429k
Efficiency of evidence accumulation (EEA) as a higher-order, computationally defined RDoc constructR21MH130939 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIGARD, ALEXANDER · 2023 to 2024
$429k
NIAAA NIH HHS T32 AA007477NIDA NIH HHS K23 DA051561NIMH NIH HHS R01 MH130348NIMH NIH HHS R21 MH129909NIMH NIH HHS R21 MH130939
6 · The paper itself

Abstract

Experimental manipulations in conflict tasks, e.g., the Stroop, Flanker, and Simon tasks, lead to systematically poorer performance in "incongruent" conditions that feature stimuli that contradict task goals. However, substantial recent debate surrounds whether individual differences in conflict task behavior reflect reliable, trait-like mechanistic processes. Much prior work uses difference scores, contrasting performance between incongruent and congruent trials to index conflict suppression ability, but recent work demonstrates these scores exhibit poor psychometric properties. Formal cognitive process models suggest that individual differences in conflict suppression are driven by task-general processes, as opposed to processes specialized for conflict. However, this prior work separately models cognitive process parameters and their covariation, which fails to adequately account for measurement error. Here, we model distinct mechanisms of conflict task performance and their covariance simultaneously using hierarchical Bayesian joint modeling methods for the first time which improves individual estimation and accounts for error. We fit the conflict linear ballistic accumulator model (LBA) to two large datasets containing multiple conflict tasks and test-retest sessions, and an additional large dataset containing a conflict task and simple perceptual decision-making task. First, within conflict tasks, we found moderate test-retest reliability for both conflict-specific processing mechanisms, and, to a larger degree, task-general mechanisms. Second, task-general, but not conflict-specific, mechanisms were correlated across different conflict tasks. Third, these task-general mechanisms were correlated between conflict tasks and a simple decision-making task without conflict suppression demands. Overall, we found robust individual differences in computational mechanisms underlying general decision-making, but not mechanisms specific to conflict processing.

Indexed as

conflict taskhierarchical Bayesianindividual differencesjoint modelinglinear ballistic accumulator model

Identifiers

PMID41868475
PMCPMC13004055

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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.