Evidence map›Paper›PMID 36244002›Full record

ArticleBrain structure & function2023

No semantic information is necessary to evoke general neural signatures of face familiarity: evidence from cross-experiment classification.

Alexia Dalski, Gyula Kovács, Géza Gergely Ambrus

Abstract read
In one paragraph

Article in Brain structure & function, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Neural Dynamics of Face Ensemble and Central Face Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

3 authors.

Alexia DalskiDepartment of Psychology, Philipps-Universität Marburg, 35039, Marburg, Germany.ORCID http://orcid.org/0000-0001-7993-2078
Gyula KovácsInstitute of Psychology, Friedrich Schiller University Jena, 07743, Jena, Germany.
Géza Gergely AmbrusInstitute of Psychology, Friedrich Schiller University Jena, 07743, Jena, Germany. g.ambrus@gmail.com.ORCID http://orcid.org/0000-0002-8400-8178

Funding

Deutsche Forschungsgemeinschaft KO 3918/5-1
6 · The paper itself

Abstract

Recent theories on the neural correlates of face identification stressed the importance of the available identity-specific semantic and affective information. However, whether such information is essential for the emergence of neural signal of familiarity has not yet been studied in detail. Here, we explored the shared representation of face familiarity between perceptually and personally familiarized identities. We applied a cross-experiment multivariate pattern classification analysis (MVPA), to test if EEG patterns for passive viewing of personally familiar and unfamiliar faces are useful in decoding familiarity in a matching task where familiarity was attained thorough a short perceptual task. Importantly, no additional semantic, contextual, or affective information was provided for the familiarized identities during perceptual familiarization. Although the two datasets originate from different sets of participants who were engaged in two different tasks, familiarity was still decodable in the sorted, same-identity matching trials. This finding indicates that the visual processing of the faces of personally familiar and purely perceptually familiarized identities involve similar mechanisms, leading to cross-classifiable neural patterns.

Indexed as

Facial RecognitionRecognition, PsychologyHumansPattern Recognition, VisualSemanticsVisual PerceptionCross-experimentEEGFace processingFamiliarityMultivariate pattern analysisMVPAPerson recognition

Identifiers

PMID36244002
PMCPMC9944719

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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.