Evidence map›Paper›PMID 25218611›Full record

ReviewBrain research2015

Fronto-striatal circuits in response-inhibition: Relevance to addiction.

Sharon Morein-Zamir, Trevor W Robbins

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Brain research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 4 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

84 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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24 more citing papers are in PubMed but not listed here.

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

2 authors.

Sharon Morein-ZamirBehavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK; Department of Psychology, University of Cambridge, Cambridge CB2 0SZ, UK. Electronic address: sm658@cam.ac.uk.
Trevor W RobbinsBehavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK; Department of Psychology, University of Cambridge, Cambridge CB2 0SZ, UK.

Funding

Medical Research Council G0001354Medical Research Council G1000183Medical Research Council G1000183BWellcome Trust 089589/Z/09/ZWellcome Trust 093875Wellcome Trust G00001354
6 · The paper itself

Abstract

Disruptions to inhibitory control are believed to contribute to multiple aspects of drug abuse, from preexisting vulnerability in at-risk individuals, through escalation to dependence, to promotion of relapse in chronic users. Paradigms investigating the suppression of actions have been investigated in animal and human research on drug addiction. Rodent research has focused largely on impulsive behaviors, often gauged by premature responding, as a viable model highlighting the relevant role of dopamine and other neurotransmitters primarily in the striatum. Human research on action inhibition in stimulant dependence has highlighted impaired performance and largely prefrontal cortical abnormalities as part of a broader pattern of cognitive abnormalities. Animal and human research implicate inhibitory difficulties mediated by fronto-striatal circuitry both preceding and as a result of excessive stimulus use. In this regard, response-inhibition has proven a useful cognitive function to gauge the integrity of fronto-striatal systems and their role in contributing to impulsive and compulsive features of drug dependence.

Indexed as

Inhibition, PsychologicalAnimalsBehavior, AddictiveCorpus StriatumFrontal LobeHumansNeural PathwaysSubstance-Related DisordersAddictionCognitive controlDrug useRelapseStimulant dependenceStop-signal

Identifiers

PMID25218611
PMCPMC4686018

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.