Evidence map›Paper›PMID 27998326›Full record

ArticlePsychological medicine2017

Reward-related neural activity and structure predict future substance use in dysregulated youth.

M A Bertocci, G Bebko, A Versace, S Iyengar, L Bonar, E E Forbes, J R C Almeida, S B Perlman, C Schirda, M J Travis and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychological medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Risk calculation circuit abnormalities plus psychosocial risk variables predict problematic substance use in youth with externalizing disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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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

24 authors.

M A BertocciDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
G BebkoDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
A VersaceDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
S IyengarDepartment of Statistics,University of Pittsburgh,Pittsburgh, PA,USA.
L BonarDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
E E ForbesDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
J R C AlmeidaDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
S B PerlmanDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
C SchirdaDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
M J TravisDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
M K GillDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
V A DiwadkarDepartment of Psychiatry and Behavioral Neuroscience,Wayne State University,Detroit, MI,USA.
J L SunshineDepartment of Radiology,University Hospitals Case Medical Center/Case Western Reserve University,Cleveland, OH,USA.
S K HollandCincinnati Children's Hospital Medical Center, University of Cincinnati,Cincinnati, OH,USA.
R A KowatchDepartment of Psychiatry and Behavioral Health,Ohio State University,Columbus, OH,USA.
B BirmaherDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.
D A AxelsonDepartment of Psychiatry and Behavioral Health,Ohio State University,Columbus, OH,USA.
T W FrazierPediatric Institute,Cleveland Clinic,Cleveland, OH,USA.
L E ArnoldDepartment of Psychiatry and Behavioral Health,Ohio State University,Columbus, OH,USA.
M A FristadDepartment of Psychiatry and Behavioral Health,Ohio State University,Columbus, OH,USA.
E A YoungstromDepartment of Psychology,University of North Carolina at Chapel Hill,Chapel Hill, NC,USA.
S M HorwitzDepartment of Child and Adolescent Psychiatry,New York University School of Medicine,New York, NY,USA.
R L FindlingDepartment of Psychiatry,Johns Hopkins University,Baltimore, MD,USA.
M L PhillipsDepartment of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA.

Funding

Longitudinal Assessment of Manic SymptomsR01MH073967 · NIMH · JOHNS HOPKINS UNIVERSITY · PI FINDLING, ROBERT L · 2005 to 2016
$11.4M
Longitudinal Assessment of Manic Symptoms (LAMS)R01MH073953 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BIRMAHER, BORIS, PHILLIPS, MARY LOUISE · 2005 to 2016
$8.7M
Longitudinal Assessment of Manic Symptoms (LAMS)R01MH073816 · NIMH · CINCINNATI CHILDRENS HOSP MED CTR · PI HOLLAND, SCOTT K. · 2005 to 2016
$5.9M
Longitudinal Assessment of Manic Symptoms (LAMS) StudyR01MH073801 · NIMH · OHIO STATE UNIVERSITY · PI FRISTAD, MARY A · 2005 to 2016
$5.9M
Promoting Research Training During Psychiatry ResidencyR25MH101076 · NIMH · BROWN UNIVERSITY · PI AUDREY TYRKA · 2013 to 2026
$2.8M
NIMH NIH HHS R01 MH073801NIMH NIH HHS R01 MH073816NIMH NIH HHS R01 MH073953NIMH NIH HHS R01 MH073967NIMH NIH HHS R25 MH101076
6 · The paper itself

Abstract

backgroundIdentifying youth who may engage in future substance use could facilitate early identification of substance use disorder vulnerability. We aimed to identify biomarkers that predicted future substance use in psychiatrically un-well youth.

methodLASSO regression for variable selection was used to predict substance use 24.3 months after neuroimaging assessment in 73 behaviorally and emotionally dysregulated youth aged 13.9 (s.d. = 2.0) years, 30 female, from three clinical sites in the Longitudinal Assessment of Manic Symptoms (LAMS) study. Predictor variables included neural activity during a reward task, cortical thickness, and clinical and demographic variables.

resultsFuture substance use was associated with higher left middle prefrontal cortex activity, lower left ventral anterior insula activity, thicker caudal anterior cingulate cortex, higher depression and lower mania scores, not using antipsychotic medication, more parental stress, older age. This combination of variables explained 60.4% of the variance in future substance use, and accurately classified 83.6%.

conclusionsThese variables explained a large proportion of the variance, were useful classifiers of future substance use, and showed the value of combining multiple domains to provide a comprehensive understanding of substance use development. This may be a step toward identifying neural measures that can identify future substance use disorder risk, and act as targets for therapeutic interventions.

Indexed as

Cerebral CortexProblem BehaviorRewardAdolescentAdolescent BehaviorAffective SymptomsChildDepressionFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMaleSubstance-Related DisordersFunctional magnetic resonance imagingGLMNETLASSOsubstance useyouth

Identifiers

PMID27998326
PMCPMC5576722

What OpenQuestion holds

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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.