Evidence map›Paper›PMID 31470123›Full record

ArticleNeuroImage2019

Ventromedial prefrontal cortex contributes to performance success by controlling reward-driven arousal representation in amygdala.

Noriya Watanabe, Jamil P Bhanji, Hiroki C Tanabe, Mauricio R Delgado

Open access · greenAbstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

4 authors at 2 institutions in 2 countries.

Noriya WatanabeDepartment of Psychology, Rutgers University, 101 Warren Street, Newark, NJ, 07102, USA; Research Center for Brain Communication, Kochi University of Technology, Kochi, 782-8502, Japan; Graduate School of Informatics, Nagoya University, Nagoya, 464-8601, Japan; Center for Information and Neural Networks, National Institute of Information and Communications Technology, Osaka, 565-0871, Japan. Electronic address: noriyawtnb@gmail.com.
Jamil P BhanjiDepartment of Psychology, Rutgers University, 101 Warren Street, Newark, NJ, 07102, USA.
Hiroki C TanabeGraduate School of Informatics, Nagoya University, Nagoya, 464-8601, Japan.
Mauricio R DelgadoDepartment of Psychology, Rutgers University, 101 Warren Street, Newark, NJ, 07102, USA. Electronic address: delgado@psychology.rutgers.edu.
Nagoya University · JPRutgers, The State University of New Jersey · US

Funding

Neural mechanisms of avoidance learning and active coping via emotion regulationR01DA027764 · NIDA · RUTGERS THE STATE UNIV OF NJ NEWARK · PI DELGADO, MAURICIO R. · 2009 to 2016
$2.2M
NIDA NIH HHS R01 DA027764
6 · The paper itself

Abstract

When preparing for a challenging task, potential rewards can cause physiological arousal that may impair performance. In this case, it is important to control reward-driven arousal while preparing for task execution. We recently examined neural representations of physiological arousal and potential reward magnitude during preparation, and found that performance failure was explained by relatively increased reward representation in the left caudate nucleus and arousal representation in the right amygdala (Watanabe, et al., 2019). Here we examine how prefrontal cortex influences the amygdala and caudate to control reward-driven arousal. Ventromedial prefrontal cortex (VMPFC) exhibited activity that was negatively correlated with trial-wise physiological arousal change, which identified this region as a potential modulator of amygdala and caudate. Next we tested the VMPFC - amygdala - caudate effective network using dynamic causal modeling (Friston et al., 2003). Post-hoc Bayesian model selection (Friston and Penny, 2011) identified a model that best fit data, in which amygdala activation was suppressively controlled by the VMPFC only in success trials. Furthermore, fixed connectivity strength from VMPFC to amygdala explained individual task performance. These findings highlight the role of effective connectivity from VMPFC to amygdala in order to control arousal during preparation for successful performance.

Indexed as

Brain MappingRewardTask Performance and AnalysisAdolescentAdultAmygdalaCaudate NucleusExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleNerve NetPrefrontal CortexYoung AdultAmygdalaCaudate nucleusDynamic causal modelingPhysiological arousalPost-hoc Bayesian model selectionRewardVentromedial prefrontal cortex

Identifiers

PMID31470123
PMCPMC6819275
OpenAlexW2970308577

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.