Evidence map›Paper›PMID 31527740›Full record

ArticleScientific reports2019

Implicit and explicit systems differently predict possible dangers.

Eugenio Manassero, Ludovica Mana, Giulia Concina, Annamaria Renna, Benedetto Sacchetti

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 citing papers in PubMed.

  1. Review
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  5. Article
  6. Article
  7. The aesthetic valve: how aesthetic appreciation may switch emotional states from anxiety to curiosity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
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  9. Article
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.

Eugenio ManasseroRita Levi-Montalcini Department of Neuroscience, University of Turin, Corso Raffaello 30, I-10125, Turin, Italy.
Ludovica ManaRita Levi-Montalcini Department of Neuroscience, University of Turin, Corso Raffaello 30, I-10125, Turin, Italy.
Giulia ConcinaRita Levi-Montalcini Department of Neuroscience, University of Turin, Corso Raffaello 30, I-10125, Turin, Italy.
Annamaria RennaRita Levi-Montalcini Department of Neuroscience, University of Turin, Corso Raffaello 30, I-10125, Turin, Italy.
Benedetto SacchettiRita Levi-Montalcini Department of Neuroscience, University of Turin, Corso Raffaello 30, I-10125, Turin, Italy. benedetto.sacchetti@unito.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One strategy to address new potential dangers is to generate defensive responses to stimuli that remind learned threats, a phenomenon called fear generalization. During a threatening experience, the brain encodes implicit and explicit memory traces. Nevertheless, there is a lack of studies comparing implicit and explicit response patterns to novel stimuli. Here, by adopting a discriminative threat conditioning paradigm and a two-alternative forced-choice recognition task, we found that the implicit reactions were selectively elicited by the learned threat and not by a novel similar but perceptually discriminable stimulus. Conversely, subjects explicitly misidentified the same novel stimulus as the learned threat. This generalization response was not due to stress-related interference with learning, but related to the embedded threatening value. Therefore, we suggest a dissociation between implicit and explicit threat recognition profiles and propose that the generalization of explicit responses stems from a flexible cognitive mechanism dedicated to the prediction of danger.

Indexed as

BrainConditioning, ClassicalConditioning, OperantFearFemaleGalvanic Skin ResponseGeneralization, PsychologicalHumansLearningMaleMemoryRecognition, PsychologyYoung Adult

Identifiers

PMID31527740
PMCPMC6746769

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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.