Evidence map›Paper›PMID 27634142›Full record

ReviewLearning & memory (Cold Spring Harbor, N.Y.)2016

Neural and behavioral mechanisms of proactive and reactive inhibition.

Heidi C Meyer, David J Bucci

Abstract readReview
In one paragraph

Review in Learning & memory (Cold Spring Harbor, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Cognitive functions of the GPe.Trends in neurosciences · 2026
    Review
  6. Similar Response Dynamics Represent Opposite Behaviors and Rewards in the Frontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. Article
  8. Article
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  12. Micro-offline gains do not reflect offline learning during early motor skill acquisition in humans.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  18. Review
  19. Review
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1 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.

Heidi C MeyerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755, USA.
David J BucciDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755, USA david.j.bucci@dartmouth.edu.

Funding

Nicotinic Acetylcholine Receptors and Inhibitory BehaviorR01DA027688 · NIDA · DARTMOUTH COLLEGE · PI BUCCI, DAVID J · 2010 to 2013
$917k
Mechanisms Underlying the Development of Inhibitory BehaviorF31MH107138 · NIMH · DARTMOUTH COLLEGE · PI MEYER, HEIDI CATHERINE · 2015 to 2015
$43k
NIDA NIH HHS R01 DA027688NIMH NIH HHS F31 MH107138
6 · The paper itself

Abstract

Response inhibition is an important component of adaptive behavior. Substantial prior research has focused on reactive inhibition, which refers to the cessation of a motor response that is already in progress. More recently, a growing number of studies have begun to examine mechanisms underlying proactive inhibition, whereby preparatory processes result in a response being withheld before it is initiated. It has become apparent that proactive inhibition is an essential component of the overall ability to regulate behavior and has implications for the success of reactive inhibition. Moreover, successful inhibition relies on learning the meaning of specific environmental cues that signal when a behavioral response should be withheld. Proactive inhibitory control is mediated by stopping goals, which reflect the desired outcome of inhibition and include information about how and when inhibition should be implemented. However, little is known about the circuits and cellular processes that encode and represent features in the environment that indicate the necessity for proactive inhibition or how these representations are implemented in response inhibition. In this article, we will review the brain circuits and systems involved in implementing inhibitory control through both reactive and proactive mechanisms. We also comment on possible cellular mechanisms that may contribute to inhibitory control processes, noting that substantial further research is necessary in this regard. Furthermore, we will outline a number of ways in which the temporal dynamics underlying the generation of the proactive inhibitory signal may be particularly important for parsing out the neurobiological correlates that contribute to the learning processes underlying various aspects of inhibitory control.

Indexed as

Proactive InhibitionReactive InhibitionAnimalsBrainHumans

Identifiers

PMID27634142
PMCPMC5026209

What OpenQuestion holds

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LicenceCC BY-NC
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.