Evidence map›Paper›PMID 28164168›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2017

Doubling down: increased risk-taking behavior following a loss by individuals with cocaine use disorder is associated with striatal and anterior cingulate dysfunction.

Joshua L Gowin, April C May, Marc Wittmann, Susan F Tapert, Martin P Paulus

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  8. The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
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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

5 authors at 3 institutions in 2 countries.

Joshua L GowinPsychiatry, University of California San Diego, La Jolla, CA; Section on Human Psychopharmacology, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD.
April C MayPsychiatry, University of California San Diego, La Jolla, CA.
Marc WittmannPsychiatry, University of California San Diego, La Jolla, CA; Empirical and Analytical Psychophysics, Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany.
Susan F TapertPsychiatry, University of California San Diego, La Jolla, CA; Psychology Service, VA San Diego Healthcare System, La Jolla, CA.
Martin P PaulusPsychiatry, University of California San Diego, La Jolla, CA; Psychiatry Service, VA San Diego Healthcare System, La Jolla, CA; Laureate Institute for Brain Research, Tulsa, OK.
University of California, San Diego · USInstitute for Frontier Areas of Psychology and Mental Health · DEVA San Diego Healthcare System · US

Funding

Neuroimaging CoreP20DA027843 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAULUS, MARTIN P. · 2010 to 2013
$3.5M
NEUROBIOLOGY OF TRANSITION TO STIMULANT DEPENDENCER01DA016663 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAULUS, MARTIN P. · 2004 to 2010
$2.8M
Negative reinforcement and interoceptive dysfunction in stimulant dependence.R01DA027797 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAULUS, MARTIN P. · 2009 to 2013
$1.7M
STIMULANT DEPENDENCE: NEURAL MECHANISMS OF RELAPSER01DA018307 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAULUS, MARTIN P. · 2004 to 2008
$1.3M
Intramural NIH HHS Z99 AA999999NIDA NIH HHS P20 DA027843NIDA NIH HHS R01 DA016663NIDA NIH HHS R01 DA018307NIDA NIH HHS R01 DA027797
6 · The paper itself

Abstract

backgroundCocaine use disorders (CUDs) have been associated with increased risk-taking behavior. Neuroimaging studies have suggested that altered activity in reward and decision-making circuitry may underlie cocaine user's heightened risk-taking. It remains unclear if this behavior is driven by greater reward salience, lack of appreciation of danger, or another deficit in risk-related processing.

methodsTwenty-nine CUD participants and forty healthy comparison participants completed the Risky Gains Task during a functional magnetic resonance imaging scan. During the Risky Gains Task, participants choose between a safe option for a small, guaranteed monetary reward and risky options with larger rewards but also the chance to lose money. Frequency of risky choice overall and following a win versus a loss were compared. Neural activity during the decision and outcome phase were examined using linear mixed effects models.

resultsAlthough the groups did not differ in overall risk-taking frequency, the CUD group chose a risky option more often following a loss. Neuroimaging analyses revealed that the comparison group showed increasing activity in the bilateral ventral striatum as they chose higher-value, risky options, but the CUD group failed to show this increase. During the outcome phase, the CUD group showed a greater decrease in bilateral striatal activity relative to the comparison group when losing the large amount, and this response was correlated with risk-taking frequency after a loss.

conclusionsThe brains of CUD individuals are hypersensitive to losses, leading to increased risk-taking behaviors, and this may help explain why these individuals take drugs despite aversive outcomes.

Indexed as

Cocaine dependenceerror signalfMRIneuroimagingrewardstriatum

Identifiers

PMID28164168
PMCPMC5283863
OpenAlexW2290789544

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.