Evidence map›Paper›PMID 34122023›Full record

ArticleFrontiers in systems neuroscience2021

The Role of Unimodal Feedback Pathways in Gender Perception During Activation of Voice and Face Areas.

Clement Abbatecola, Peggy Gerardin, Kim Beneyton, Henry Kennedy, Kenneth Knoblauch

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03058133 (Neural Correlates of Multimodal Face/Voice Processing in a Gender Task.), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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.

NCT03058133 nacompletednot on this map

Neural Correlates of Multimodal Face/Voice Processing in a Gender Task.

TypeinterventionalSponsorHospices Civils de LyonRan2016 to 2018Enrolled38ConditionsHealthyArmsfMRI study
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Clement AbbatecolaUniv Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, Bron, France.
Peggy GerardinUniv Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, Bron, France.
Kim BeneytonUniv Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, Bron, France.
Henry KennedyUniv Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, Bron, France.
Kenneth KnoblauchUniv Lyon, Université Claude Bernard Lyon 1, INSERM, Stem Cell and Brain Research Institute U1208, Bron, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-modal effects provide a model framework for investigating hierarchical inter-areal processing, particularly, under conditions where unimodal cortical areas receive contextual feedback from other modalities. Here, using complementary behavioral and brain imaging techniques, we investigated the functional networks participating in face and voice processing during gender perception, a high-level feature of voice and face perception. Within the framework of a signal detection decision model, Maximum likelihood conjoint measurement (MLCM) was used to estimate the contributions of the face and voice to gender comparisons between pairs of audio-visual stimuli in which the face and voice were independently modulated. Top-down contributions were varied by instructing participants to make judgments based on the gender of either the face, the voice or both modalities (

Indexed as

conjoint measurementdynamic causal modelingfunctional magnetic resonance imaginggender comparisonpredictive codingpsychophysics

Identifiers

PMID34122023
PMCPMC8194406

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.