Evidence map›Paper›PMID 31740207›Full record

ArticleDrug and alcohol dependence2020

Interactive effects of age and recent substance use on striatal shape morphology at substance use disorder treatment entry.

Marc L Copersino, Raihaan Patel, Jenessa S Price, Katherine Frost Visser, Gordana Vitaliano, Eric Plitman, Scott E Lukas, Roger D Weiss, Amy C Janes, M Mallar Chakravarty

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 5 institutions in 2 countries.

Marc L CopersinoDivision of Alcohol and Drug Abuse, McLean Hospital, Belmont, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: mcopersino@mclean.harvard.edu.
Raihaan PatelCerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada. Electronic address: patelraihaan@gmail.com.
Jenessa S PriceDivision of Transplant Surgery, Dept of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA; Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: jeprice@mcw.edu.
Katherine Frost VisserDivision of Alcohol and Drug Abuse, McLean Hospital, Belmont, MA, USA. Electronic address: katherine.visser@uga.edu.
Gordana VitalianoDivision of Alcohol and Drug Abuse, McLean Hospital, Belmont, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: gvitaliano@mclean.harvard.edu.
Eric PlitmanCerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada. Electronic address: plitmaneric@gmail.com.
Scott E LukasDivision of Alcohol and Drug Abuse, McLean Hospital, Belmont, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: slukas@mclean.harvard.edu.
Roger D WeissDivision of Alcohol and Drug Abuse, McLean Hospital, Belmont, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: rweiss@mclean.harvard.edu.
Amy C JanesDivision of Alcohol and Drug Abuse, McLean Hospital, Belmont, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: ajanes@mclean.harvard.edu.
M Mallar ChakravartyCerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada; Department of Biological and Biomedical Engineering, McGill University, Montreal, QC, Canada. Electronic address: mallar.chak@gmail.com.
Harvard University · USMcLean Hospital · USDouglas Mental Health University Institute · CAMcGill University · CAMedical College of Wisconsin · US

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Training In Drug Abuse and Brain ImagingT32DA015036 · NIDA · MC LEAN HOSPITAL (BELMONT, MA) · PI SCOTT E LUKAS · 2002 to 2026
$5.3M
Mentoring in Drug Abuse and Dual Diagnosis ResearchK24DA022288 · NIDA · MCLEAN HOSPITAL · PI WEISS, ROGER D. · 2007 to 2016
$1.8M
Training in Cognitive Function and Neuroimaging of Smoking-Related CuesK01DA029645 · NIDA · MCLEAN HOSPITAL · PI JANES, AMY C · 2011 to 2015
$853k
Nanoengineered Neuroprobes for MRI of Dopamine Transporters in Drug AddictionK08DA037465 · NIDA · MCLEAN HOSPITAL · PI VITALIANO, GORDANA D. · 2015 to 2018
$758k
Multimodal Brain Imaging of Functional Neurodynamics in Cocaine DependenceK23DA027045 · NIDA · MCLEAN HOSPITAL · PI COPERSINO, MARC LOUIS · 2010 to 2014
$747k
Individual differences in nicotine dependence: A multi-modal neuroimaging approachK02DA042987 · NIDA · MCLEAN HOSPITAL · PI JANES, AMY C · 2017 to 2021
$544k
CIHRNCATS NIH HHS UL1 TR002541NIDA NIH HHS K01 DA029645NIDA NIH HHS K02 DA042987NIDA NIH HHS K08 DA037465NIDA NIH HHS K23 DA027045NIDA NIH HHS K24 DA022288NIDA NIH HHS T32 DA015036
6 · The paper itself

Abstract

backgroundStriatal neuroadaptations are regarded to play an important role in the progression from voluntary to compulsive use of addictive substances and provide a promising target for the identification of neuroimaging biomarkers. Recent advances in surface-based computational analysis enable morphological assessment linking variations in global and local striatal shape to duration and magnitude of substance use with a degree of sensitivity that exceeds standard volumetric analysis.

methodsThis study used a new segmentation methodology coupled with local surface-based indices of surface area and displacement to provide a comprehensive structural characterization of the striatum in 34 patients entering treatment for substance use disorder (SUD) and 49 controls, and to examine the influence of recent substance use on abnormal age-related striatal deformation in SUD patients.

resultsPatients showed a small reduction in striatal volume and no difference in surface area or shape in comparison to controls. Between-group differences in shape were likely neutralized by the bidirectional influence of recent substance use on striatal shape in SUD patients. Specifically, there was an interaction between age and substance such that among older patients more drug use was associated with greater inward striatal contraction but more alcohol use was associated with greater outward expansion.

conclusionsThis study builds on previous work and advances our understanding of the nature of striatal neuroadaptations as a potential biomarker of disease progression in addiction.

Indexed as

Age FactorsAdultBiomarkersComputational BiologyCorpus StriatumDisease ProgressionFemaleHumansMaleOrgan SizeSubstance-Related DisordersBiomarkersAlcoholMorphologyMRIPlasticityPolydrugStriatum

Identifiers

PMID31740207
PMCPMC6980652
OpenAlexW2987264399

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.