Evidence map›Paper›PMID 28682013›Full record

ArticleAddiction biology2018

Cocaine and HIV are independently associated with neural activation in response to gain and loss valuation during economic risky choice.

Christina S Meade, Merideth Addicott, Andrea L Hobkirk, Sheri L Towe, Nan-Kuei Chen, Sriramkumar Sridharan, Scott A Huettel

Open access · greenAbstract read
In one paragraph

Article in Addiction biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

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  10. Loss Aversion and Current, Former, and Never-Smoking Status.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    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 2 institutions in 2 countries.

Christina S MeadeDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-0864-1123
Merideth AddicottDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Andrea L HobkirkDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-3020-3963
Sheri L ToweDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Nan-Kuei ChenBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA.
Sriramkumar SridharanDuke Global Health Institute, Durham, NC, USA.
Scott A HuettelDepartment of Psychology and Neuroscience, Duke University, Durham, NC, USA.
Duke University · USDuke Institute for Health Innovation · US

Funding

Ruth L. Kirschstein National Research Service Award (NRSA)- T32T32AI007392 · NIAID · DUKE UNIVERSITY · PI Amy Lynn Corneli, Guido Ferrari · 1990 to 2026
$9.8M
Neurobehavioral and fMRI Research in HIV Infection and Cocaine DependenceK23DA028660 · NIDA · DUKE UNIVERSITY · PI MEADE, CHRISTINA S · 2010 to 2014
$825k
Acute and Chronic Nicotine Modulation of Reinforcement LearningK01DA033347 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI ADDICOTT, MERIDETH A. · 2013 to 2017
$734k
Effects of Cocaine and HIV on Decision Making Involving Potential LossesR21DA036450 · NIDA · DUKE UNIVERSITY · PI MEADE, CHRISTINA S · 2013 to 2014
$432k
NeuroAIDS research with disadvantaged drug usersF32DA038519 · NIDA · DUKE UNIVERSITY · PI HOBKIRK, ANDREA · 2014 to 2017
$167k
NIAID NIH HHS T32 AI007392NIDA NIH HHS F32 DA038519NIDA NIH HHS K01 DA033347NIDA NIH HHS K23 DA028660NIDA NIH HHS R21 DA036450
6 · The paper itself

Abstract

Stimulant abuse is disproportionately common in HIV-positive persons. Both HIV and stimulants are independently associated with deficits in reward-based decision making, but their interactive and/or additive effects are poorly understood despite their prevalent co-morbidity. Here, we examined the effects of cocaine dependence and HIV infection in 69 adults who underwent functional magnetic resonance imaging while completing an economic loss aversion task. We identified two neural networks that correlated with the evaluation of the favorable characteristics of the gamble (i.e. higher gains/lower losses: ventromedial prefrontal cortex, anterior cingulate, anterior and posterior precuneus and visual cortex) versus unfavorable characteristics of the gamble (i.e. lower gains/higher losses: dorsal prefrontal, lateral orbitofrontal, posterior parietal cortex, anterior insula and dorsal caudate). Behaviorally, cocaine and HIV had additive effects on loss aversion scores, with HIV-positive cocaine users being the least loss averse. Cocaine users had greater activation in brain regions that tracked the favorability of gamble characteristics (i.e. increased activation to gains, but decreased activation to losses). In contrast, HIV infection was independently associated with lesser activation in regions that tracked the unfavorability of gamble characteristics. These results suggest that cocaine is associated with an overactive reward-seeking system, while HIV is associated with an underactive cognitive control system. Together, these alterations may leave HIV-positive cocaine users particularly vulnerable to making unfavorable decisions when outcomes are uncertain.

Indexed as

Decision MakingAdultBrainCase-Control StudiesCaudate NucleusCerebral CortexChoice BehaviorCocaine-Related DisordersComorbidityFemaleFunctional NeuroimagingGamblingGyrus CinguliHIV InfectionsHumansMagnetic Resonance Imagingcocaine dependencedecision makingdrug addictionfunctional MRI (fMRI)gamblingHIV/AIDS

Identifiers

PMID28682013
PMCPMC6706251
OpenAlexW2725248608

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.