Evidence map›Paper›PMID 31404876›Full record

ArticleNeuroImage. Clinical2019

Intertemporal decision-making-related brain states predict adolescent drug abuse intervention responses.

Amanda Elton, Catherine Stanger, G Andrew James, Stacy Ryan-Pettes, Alan Budney, Clinton D Kilts

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Amanda EltonUniversity of North Carolina at Chapel Hill, USA. Electronic address: aelton@email.unc.edu.
Catherine StangerGeisel School of Medicine at Dartmouth College, USA.
G Andrew JamesUniversity of Arkansas for Medical Sciences, USA.
Stacy Ryan-PettesBaylor University, USA.
Alan BudneyGeisel School of Medicine at Dartmouth College, USA.
Clinton D KiltsUniversity of Arkansas for Medical Sciences, USA.
Dartmouth College · USUniversity of Arkansas for Medical Sciences · USBaylor University · USUniversity of North Carolina at Chapel Hill · US

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Arkansas Center for Clinical and Translational ResearchUL1TR000039 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$10.0M
Supplement to Molecular and Cellular Studies on Alcohol's ActionsT32AA007573 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FULTON T CREWS, Thomas L. Kash · 1997 to 2026
$9.3M
Behavioral Treatment of Adolescent Marijuana UseR01DA015186 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI BUDNEY, ALAN JEFFREY · 2002 to 2017
$7.7M
Translational Training in AddictionT32DA022981 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI Melissa Jean Zielinski · 2009 to 2026
$6.1M
The Sex-specific Roles and Neural Processing Correlates of Future Outcome Estimation in the Drug Addiction ProcessR01DA044608 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, GEORGE ANDREW · 2018 to 2022
$2.4M
Family Based Contingency Management for Adolescent Alcohol AbuseR01AA016917 · NIAAA · UNIV OF ARKANSAS FOR MED SCIS · PI CATHERINE STANGER, CATHERINE STANGER CATHERINE STANGER · 2007 to 2011
$2.2M
The neural mechanisms of risk for alcohol use disorder among college studentsK01AA026334 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELTON, AMANDA L · 2018 to 2022
$770k
The Neuroeconomics of Behavioral Therapies for Adolescent Substance AbuseR21DA029442 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI CATHERINE STANGER, CATHERINE STANGER CATHERINE STANGER, KILTS, CLINTON D · 2010 to 2012
$596k
Arkansas Center for Clinical Translational ResearchKL2TR000063 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI BECK, CORNELIA MARIE, JAMES, LAURA P · 2012 to 2014
$459k
NCATS NIH HHS KL2 TR000063NCATS NIH HHS UL1 TR000039NIAAA NIH HHS K01 AA026334NIAAA NIH HHS R01 AA016917NIAAA NIH HHS T32 AA007573NIDA NIH HHS P30 DA029926NIDA NIH HHS R01 DA015186NIDA NIH HHS R01 DA044608NIDA NIH HHS R21 DA029442NIDA NIH HHS T32 DA022981
6 · The paper itself

Abstract

Adolescent drug misuse represents a major risk factor for long-term drug use disorders. However, wide individual differences in responses to first-line behavioral therapies targeting adolescent drug misuse limit critical early intervention. Identifying the neural signatures of those adolescents most likely to respond to an intervention would potentially guide personalized strategies for reducing drug misuse. Prior to a 14-week evidence-based intervention involving combinations of contingency management, motivational enhancement, and cognitive behavioral therapy, thirty adolescent alcohol and/or cannabis users underwent fMRI while performing a reward delay discounting (DD) task tapping an addiction-related cognition. Intervention responses were longitudinally characterized by both urinalysis and self-report measures of the percentage of days used during treatment and in post-treatment follow-up. Group independent component analysis (ICA) of task fMRI data identified neural processing networks related to DD task performance. Separate measures of wholesale recruitment during immediate reward choices and within-network functional connectivity among selective networks significantly predicted intervention-related changes in drug misuse frequency. Specifically, heightened pre-intervention engagement of a temporal lobe "reward motivation" network for impulsive choices on the DD task predicted poorer intervention outcomes, while modes of functional connectivity within the reward motivation network, a prospection network, and a posterior insula network demonstrated robust associations with intervention outcomes. Finally, the pre-intervention functional organization of the prospection network also predicted post-intervention drug use behaviors for up to 6 months of follow-up. Multiple functional variations in the neural processing networks supporting preference for immediate and future rewards signal individual differences in readiness to benefit from an effective behavioral therapy for reducing adolescent drug misuse. The implications for efforts to boost therapy responses are discussed.

Indexed as

IndividualityAdolescentBrainChildDecision MakingDelay DiscountingFemaleHumansMagnetic Resonance ImagingMaleRewardSubstance-Related DisordersAdolescentsDelay discountingFunctional magnetic resonance imagingSubstance useTreatment

Identifiers

PMID31404876
PMCPMC6699467
OpenAlexW2965001360

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.