Evidence map›Paper›PMID 28627790›Full record

ArticleAddiction biology2018

Regional cerebral blood flow in opiate dependence relates to substance use and neuropsychological performance.

Donna E Murray, Timothy C Durazzo, Thomas P Schmidt, Troy A Murray, Christoph Abé, Joseph Guydish, Dieter J Meyerhoff

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

6 citing papers in PubMed, 8 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

7 authors at 4 institutions in 2 countries.

Donna E MurrayCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.ORCID 0000-0003-0090-2082
Timothy C DurazzoDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Thomas P SchmidtCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.
Troy A MurrayCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.
Christoph AbéDepartment of Clinical Neuroscience, Osher Center, Karolinska Institute, Stockholm, Sweden.
Joseph GuydishPhilip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA.
Dieter J MeyerhoffCenter for Imaging of Neurodegenerative Diseases (CIND), San Francisco VA Medical Center, San Francisco, CA, USA.
San Francisco VA Medical Center · USKarolinska Institutet · SELee University · USVA Palo Alto Health Care System · US

Funding

TREATMENTS FOR COMPLEX PATIENTS IN NEW SETTINGSP50DA009253 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUYDISH, JOSEPH R · 1994 to 2014
$28.2M
The Biological Basis of Alcohol Induced Brain DamageR01AA010788 · NIAAA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI MEYERHOFF, DIETER J · 1996 to 2016
$8.9M
The Neurobiological and Neurocognitive Consequences of Chronic Cigarette SmokingK01DA024136 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DURAZZO, TIMOTHY CRAIG · 2008 to 2012
$785k
NIAAA NIH HHS R01 AA010788NIDA NIH HHS K01 DA024136NIDA NIH HHS P50 DA009253
6 · The paper itself

Abstract

Neuroimaging of opiate-dependent individuals indicates both altered brain structure and function. Magnetic resonance-based arterial spin labeling has been used to measure noninvasively cerebral blood flow (i.e. perfusion) in alcohol, tobacco and stimulant dependence; only one arterial spin labeling paper in opiate-dependent individuals demonstrated frontal and parietal perfusion deficits. Additional research on regional brain perfusion in opiate dependence and its relationship to cognition and self-regulation (impulsivity, risk taking and decision making) may inform treatment approaches for opiate-dependent individuals. Continuous arterial spin labeling magnetic resonance imaging at 4 T and neuropsychological measures assessed absolute brain perfusion levels, cognition and self-regulation in 18 cigarette smoking opiate-dependent individuals (sODI) stable on buprenorphine maintenance therapy. The sODI were compared with 20 abstinent smoking alcohol-dependent individuals (a substance-dependent control group), 35 smoking controls and 29 nonsmoking controls. sODI had lower perfusion in several cortical and subcortical regions including regions within the brain reward/executive oversight system compared with smoking alcohol-dependent individuals and nonsmoking controls. Perfusion was increased in anterior cingulate cortex and globus pallidus of sODI. Compared with all other groups, sODI had greater age-related declines in perfusion in most brain reward/executive oversight system and some other regions. In sODI, lower regional perfusion related to greater substance use, higher impulsivity and weaker visuospatial skills. Overall, sODI showed cortical and subcortical hypoperfusion and hyperperfusion. Relating to neuropsychological performance and substance use quantities, the frontal perfusion alterations are clinically relevant and constitute potential targets for pharmacological and cognitive-based therapeutic interventions to improve treatment outcome in opiate dependence.

Indexed as

Cerebrovascular CirculationAdultAlcoholismAnalgesics, OpioidBrainBuprenorphineCase-Control StudiesCigarette SmokingCognitionExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsAnalgesics, OpioidBuprenorphinemagnetic resonance arterial spin labelingneuropsychological performanceopiate

Identifiers

PMID28627790
PMCPMC5736471
OpenAlexW2733897733

What OpenQuestion holds

Textmetadata
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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.