Evidence map›Paper›PMID 33439518›Full record

ArticleThe European journal of neuroscience2020

An insula-driven network computes decision uncertainty and promotes abstinence in chronic cocaine users.

Ju-Chi Yu, Vincenzo G Fiore, Richard W Briggs, Jacquelyn Braud, Katya Rubia, Bryon Adinoff, Xiaosi Gu

Open access · greenAbstract read
In one paragraph

Article in The European journal of neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Aberrant effective connectivity during working memory performance in schizotypal personality disorder and schizophrenia: A spectrum approach.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    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 at 6 institutions in 2 countries.

Ju-Chi YuSchool of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA.
Vincenzo G FioreDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-4865-5482
Richard W BriggsDepartment of Aging and Geriatric Research, University of Florida, Gainesville, FL, USA.
Jacquelyn BraudDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Katya RubiaInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Bryon AdinoffDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Xiaosi GuDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-9373-987X
Icahn School of Medicine at Mount Sinai · USKing's College London · GBThe University of Texas at Dallas · USThe University of Texas Southwestern Medical Center · USUniversity of Florida · USVA North Texas Health Care System · US

Funding

UT-Southwestern Clinical and Translational Alliance for Research (UT-STAR) (TL1)UL1TR000451 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2012 to 2012
$6.3M
Computational and Neural Modeling of Cue Reactivity in AddictionR01DA043695 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GU, XIAOSI · 2018 to 2022
$2.9M
Impulsivity, Neural Deficits, and Cocaine RelapseR01DA023203 · NIDA · UT SOUTHWESTERN MEDICAL CENTER · PI ADINOFF, BRYON H. · 2007 to 2011
$1.5M
Neurocomputational Mechanisms for Addiction Heterogeneity, Impulsivity and PerseveranceR21DA049243 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GU, XIAOSI · 2019 to 2020
$466k
Delineating proactive social behaviors in dynamic and multidimensional social spaceR21MH120789 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GU, XIAOSI, SCHILLER, DANIELA · 2019 to 2020
$466k
Mental Illness Research, Education, and Clinical Center MIRECC VISN 2National Institute of Drug Abuse: R01 DA023203NCATS NIH HHS UL1 TR000451NIDA NIH HHS R01 DA023203NIDA NIH HHS R01 DA043695NIDA NIH HHS R21 DA049243NIMH NIH HHS R21 MH120789
6 · The paper itself

Abstract

The anterior insular cortex (AIC) and its interconnected brain regions have been associated with both addiction and decision-making under uncertainty. However, the causal interactions in this uncertainty-encoding neurocircuitry and how these neural dynamics impact relapse remain elusive. Here, we used model-based fMRI to measure choice uncertainty in a motor decision task in 61 individuals with cocaine use disorder (CUD) and 25 healthy controls. CUD participants were assessed before discharge from a residential treatment program and followed for up to 24 weeks. We found that choice uncertainty was tracked by the AIC, dorsal anterior cingulate cortex (dACC) and ventral striatum (VS), across participants. Stronger activations in these regions measured pre-discharge predicted longer abstinence after discharge in individuals with CUD. Dynamic causal modeling revealed an AIC-to-dACC-directed connectivity modulated by uncertainty in controls, but a dACC-to-AIC connectivity in CUD participants. This reversal was mostly driven by early relapsers (<30 days). Furthermore, CUD individuals who displayed a stronger AIC-to-dACC excitatory connection during uncertainty encoding remained abstinent for longer periods. These findings reveal a critical role of an AIC-driven, uncertainty-encoding neurocircuitry in protecting against relapse and promoting abstinence.

Indexed as

Cerebral CortexCocaineBrain MappingGyrus CinguliHumansMagnetic Resonance ImagingUncertaintyCocaineaddictionanterior cingulateanterior insularelapse

Identifiers

PMID33439518
PMCPMC8485760
OpenAlexW3044203763

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.