Evidence map›Paper›PMID 30556927›Full record

ArticleThe European journal of neuroscience2019

Using subjective expectations to model the neural underpinnings of proactive inhibition.

Pascal Pas, Stefan Du Plessis, Hanna E van den Munkhof, Thomas E Gladwin, Matthijs Vink

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In one paragraph

Article in The European journal of neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

5 authors.

Pascal PasUniversity Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-2200-7591
Stefan Du PlessisDepartment of Psychiatry, Stellenbosch University, Cape Town, South Africa.ORCID 0000-0001-9750-5731
Hanna E van den MunkhofMax Planck Institute for Metabolism Research, Cologne, Germany.ORCID 0000-0001-9770-9099
Thomas E GladwinUniversity of Chichester, Chichester, UK.ORCID 0000-0001-9538-6425
Matthijs VinkDepartments of Experimental & Developmental Psychology, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-1235-8347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proactive inhibition - the anticipation of having to stop a response - relies on objective information contained in cue-related contingencies in the environment, as well as on the subjective interpretation derived from these cues. To date, most studies of brain areas underlying proactive inhibition have exclusively considered the objective predictive value of environmental cues, by varying the probability of stop-signals. However, by only taking into account the effect of different cues on brain activation, the subjective component of how cues affect behavior is ignored. We used a modified stop-signal response task that includes a measurement for subjective expectation, to investigate the effect of this subjective interpretation. After presenting a cue indicating the probability that a stop-signal will occur, subjects were asked whether they expected a stop-signal to occur. Furthermore, response time was used to retrospectively model brain activation related to stop-expectation. We found more activation during the cue period for 50% stop-signal probability, when contrasting with 0%, in the mid and inferior frontal gyrus, inferior parietal lobe and putamen. When contrasting expected vs. unexpected trials, we found modest effects in the mid frontal gyrus, parietal, and occipital areas. With our third contrast, we modeled brain activation during the cue with trial-by-trial variances in response times. This yielded activation in the putamen, inferior parietal lobe, and mid frontal gyrus. Our study is the first to use the behavioral effects of proactive inhibition to identify the underlying brain regions, by employing an unbiased task-design that temporally separates cue and response.

Indexed as

Models, NeurologicalProactive InhibitionAnticipation, PsychologicalBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMotor ActivityReaction TimeYoung Adultbehavioral controlcuesexpectationsfMRIstriatum

Identifiers

PMID30556927
PMCPMC6618303

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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.