Evidence map›Paper›PMID 27126701›Full record

ArticleAddiction biology2017

Prefrontal gray matter volume recovery in treatment-seeking cocaine-addicted individuals: a longitudinal study.

Muhammad A Parvaz, Scott J Moeller, Federico d'Oleire Uquillas, Amanda Pflumm, Tom Maloney, Nelly Alia-Klein, Rita Z Goldstein

Open access · greenAbstract read
In one paragraph

Article in Addiction biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
3.0field-weighted citation impact, top 9% 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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Neuroimaging Biomarkers in Addiction.medRxiv : the preprint server for health sciences · 2024
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  14. Residual deficits in functional brain activity after chronic cocaine self-administration in rhesus monkeys.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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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 1 country.

Muhammad A ParvazIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Scott J MoellerIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Federico d'Oleire UquillasIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Amanda PflummStony Brook University, Stony Brook, NY, USA.
Tom MaloneyIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Nelly Alia-KleinIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Rita Z GoldsteinIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USStony Brook University · US

Funding

Using event-related potentials to longitudinally track cue-induced craving incubation in cocaine addicted individualsR01DA041528 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GOLDSTEIN, RITA Z · 2016 to 2020
$3.3M
Genes, Brain, and Behavior in Human AggressionR01MH090134 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALIA-KLEIN, NELLY · 2010 to 2014
$3.2M
The prefrontal cortex in salience and control in cocaine addiction: phFMRI studyR01DA023579 · NIDA · BROOKHAVEN SCIENCE ASSOC-BROOKHAVEN LAB · PI GOLDSTEIN, RITA Z · 2008 to 2012
$2.8M
Genetic markers associated with brain structural abnormalities and drug use in human addictionK01DA037452 · NIDA · STATE UNIVERSITY NEW YORK STONY BROOK · PI MOELLER, SCOTT J · 2015 to 2019
$778k
BCI-based feedback system to promote cognitive control of cravingF32DA033088 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PARVAZ, MUHAMMAD ADEEL · 2012 to 2015
$158k
NIDA NIH HHS F32 DA033088NIDA NIH HHS K01 DA037452NIDA NIH HHS R01 DA023579NIDA NIH HHS R01 DA041528NIMH NIH HHS R01 MH090134
6 · The paper itself

Abstract

Deficits in prefrontal cortical (PFC) function have been consistently reported in individuals with cocaine use disorders (iCUD), and have separately been shown to improve with longer-term abstinence. However, it is less clear whether the PFC structural integrity possibly underlying these deficits is also modulated by sustained reduction in drug use in iCUD. Here, T1-weighted magnetic resonance imaging scans were acquired, and performance on a neuropsychological test battery was assessed, in 19 initially abstinent treatment-seeking iCUD, first at baseline and then after six months of significantly reduced or no drug use (follow-up). A comparison cohort of 12 healthy controls was also scanned twice with a similar inter-scan interval. The iCUD showed increased gray matter volume in the left inferior frontal gyrus and bilaterally in the ventromedial prefrontal cortex at follow-up compared to baseline; healthy controls, as expected, showed no changes over this same time period. The iCUD also showed improved decision making and cognitive flexibility, with the latter correlated significantly with the gray matter volume increases in the inferior frontal gyrus. Given its association with improved cognitive function, the longitudinal recovery in cortical gray matter volume, particularly in regions where structure and function are adversely affected by chronic drug use, reflects a quantifiable positive impact of significantly reduced drug use on cortical structural integrity.

Indexed as

CognitionDecision MakingAdultCase-Control StudiesCocaine-Related DisordersFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsOrgan SizePatient Acceptance of Health CarePrefrontal CortexCocaineprefrontal cortexvoxel-based morphometry

Identifiers

PMID27126701
PMCPMC5085900
OpenAlexW2344785968

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.