Evidence map›Paper›PMID 32205253›Full record

ArticleNeuroImage2020

Test-retest reliability of fMRI-measured brain activity during decision making under risk.

Ozlem Korucuoglu, Michael P Harms, Serguei V Astafiev, James T Kennedy, Semyon Golosheykin, Deanna M Barch, Andrey P Anokhin

Abstract readTwin Study
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Robust FDR Control for Neuroimaging-based Classification via Knockoffs.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
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  6. Review: Suicide and its relationship to aggression and impulsivity.Cognitive, affective & behavioral neuroscience · 2025
    Review
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  12. From Computation to Clinic.Biological psychiatry global open science · 2023
    Review
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  14. Article
  15. 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

7 authors.

Ozlem KorucuogluDepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid, St. Louis, MO, 63110, USA. Electronic address: korucuogluo@wustl.edu.
Michael P HarmsDepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid, St. Louis, MO, 63110, USA.
Serguei V AstafievDepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid, St. Louis, MO, 63110, USA.
James T KennedyDepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid, St. Louis, MO, 63110, USA.
Semyon GolosheykinDepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid, St. Louis, MO, 63110, USA.
Deanna M BarchDepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid, St. Louis, MO, 63110, USA; Department of Psychological & Brain Sciences, Washington University, 1 Brookings Drive, St. Louis, MO, 63130, USA.
Andrey P AnokhinDepartment of Psychiatry, Washington University School of Medicine, 660 S. Euclid, St. Louis, MO, 63110, USA.

Funding

NEUROCOGNITION, GENETICS, AND ADOLESCENT SUBSTANCE ABUSER01DA018899 · NIDA · WASHINGTON UNIVERSITY · PI ANOKHIN, ANDREY P. · 2004 to 2015
$4.9M
GENETICS, THE ADOLESCENT BRAIN, AND ADDICTION LIABILITY: A LONGITUDINAL TWIN STUDYR01HD083614 · NICHD · WASHINGTON UNIVERSITY · PI ANOKHIN, ANDREY P. · 2016 to 2020
$3.0M
TEST-RETEST RELIABILITY OF PUTATIVE FMRI ENDOPHENOTYPES FOR SUBSTANCE ABUSE RISKR21DA038834 · NIDA · WASHINGTON UNIVERSITY · PI ANOKHIN, ANDREY P. · 2016 to 2017
$377k
NICHD NIH HHS R01 HD083614NIDA NIH HHS R01 DA018899NIDA NIH HHS R21 DA038834
6 · The paper itself

Abstract

Neural correlates of decision making under risk are being increasingly utilized as biomarkers of risk for substance abuse and other psychiatric disorders, treatment outcomes, and brain development. This research relies on the basic assumption that fMRI measures of decision making represent stable, trait-like individual differences. However, reliability needs to be established for each individual construct. Here we assessed long-term test-retest reliability (TRR) of regional brain activations related to decision making under risk using the Balloon Analogue Risk Taking task (BART) and identified regions with good TRRs and familial influences, an important prerequisite for the use of fMRI measures in genetic studies. A secondary goal was to examine the factors potentially affecting fMRI TRRs in one particular risk task, including the magnitude of neural activation, data analytical approaches, different methods of defining boundaries of a region, and participant motion. For the average BOLD response, reliabilities ranged across brain regions from poor to good (ICCs of 0 to 0.8, with a mean ICC of 0.17) and highest reliabilities were observed for parietal, occipital, and temporal regions. Among the regions that were of a priori theoretical importance due to their reported associations with decision making, the activation of left anterior insula and right caudate during the decision period showed the highest reliabilities (ICCs of 0.54 and 0.63, respectively). Among the regions with highest reliabilities, the right fusiform, right rostral anterior cingulate and left superior parietal regions also showed high familiality as indicated by intrapair monozygotic twin correlations (ranging from 0.66 to 0.69). Overall, regions identified by modeling the average BOLD response to a specific event type (rather than its modulation by a parametric regressor), regions including significantly activated vertices (compared to a whole parcel), and regions with greater magnitude of task-related activations showed greater reliabilities. Participant motion had a moderate negative effect on TRR. Regions activated during decision period rather than outcome period of risky decisions showed the greatest TRR and familiality. Regions with reliable activations can be utilized as neural markers of individual differences or endophenotypes in future clinical neuroscience and genetic studies of risk-taking.

Indexed as

Risk-TakingBrainBrain MappingDecision MakingFemaleHumansMagnetic Resonance ImagingMaleReproducibility of ResultsYoung AdultBARTCohen’s dFamilialityfMRIICCMotion

Identifiers

PMID32205253
PMCPMC7846028

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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.