Evidence map›Paper›PMID 33667671›Full record

ArticleNeuroImage2021

Perceptual difficulty modulates the direction of information flow in familiar face recognition.

Hamid Karimi-Rouzbahani, Farzad Ramezani, Alexandra Woolgar, Anina Rich, Masoud Ghodrati

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Hybrid predictive coding: Inferring, fast and slow.PLoS computational biology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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.

Hamid Karimi-RouzbahaniMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom; Perception in Action Research Centre and Department of Cognitive Science Macquarie University, Australia. Electronic address: hamid.karimi-rouzbahani@mrc-cbu.cam.ac.uk.
Farzad RamezaniDepartment of Computer Science, School of Mathematics, Statistics, and Computer Science, University of Tehran, Iran.
Alexandra WoolgarMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom; Perception in Action Research Centre and Department of Cognitive Science Macquarie University, Australia.
Anina RichPerception in Action Research Centre and Department of Cognitive Science Macquarie University, Australia.
Masoud GhodratiNeuroscience Program, Biomedicine Discovery Institute, Monash University, Australia. Electronic address: ghodrati.masoud@gmail.com.

Funding

Medical Research Council MC_UU_00005/17Medical Research Council MC_UU_00030/15Medical Research Council SUAG/052/G101400
6 · The paper itself

Abstract

Humans are fast and accurate when they recognize familiar faces. Previous neurophysiological studies have shown enhanced representations for the dichotomy of familiar vs. unfamiliar faces. As familiarity is a spectrum, however, any neural correlate should reflect graded representations for more vs. less familiar faces along the spectrum. By systematically varying familiarity across stimuli, we show a neural familiarity spectrum using electroencephalography. We then evaluated the spatiotemporal dynamics of familiar face recognition across the brain. Specifically, we developed a novel informational connectivity method to test whether peri-frontal brain areas contribute to familiar face recognition. Results showed that feed-forward flow dominates for the most familiar faces and top-down flow was only dominant when sensory evidence was insufficient to support face recognition. These results demonstrate that perceptual difficulty and the level of familiarity influence the neural representation of familiar faces and the degree to which peri-frontal neural networks contribute to familiar face recognition.

Indexed as

AdultBrainElectroencephalographyFacial RecognitionFemaleHumansMagnetic Resonance ImagingMaleMultivariate AnalysisNerve NetPattern Recognition, VisualPhotic StimulationRecognition, PsychologyYoung AdultFace recognitionFamiliar facesInformational brain connectivityMultivariate pattern analysis (MVPA)Representational similarity analysis (RSA)

Identifiers

PMID33667671
PMCPMC7614447

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.