Cited by 26Face Recognition and PerceptionFace recognition and analysisEvolutionary Psychology and Human Behavior

EEG correlates of categorical and graded face perception

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Abstract

Face perception is a critical social ability and identifying its neural correlates is important from both basic and applied perspectives. In EEG recordings, faces elicit a distinct electrophysiological signature, the N170, which has a larger amplitude and shorter latency in response to faces compared to other objects. However, determining the face specificity of any neural marker for face perception hinges on finding an appropriate control stimulus. We used a novel stimulus set consisting of 300 images that spanned a continuum between random patches of natural scenes and genuine faces, in order to explore the selectivity of face-sensitive ERP responses with a model-based parametric stimulus set. Critically, our database contained "false alarm" images that were misclassified as face by computational face-detection system and varied in their image-level similarity to real faces. High-density (128-channel) event-related potentials (ERPs) were recorded while 23 adult subjects viewed all 300 images in random order, and determined whether each image was a face or non-face. The goal of our analyses was to determine the extent to which a gradient of sensitivity to face-like structure was evident in the ERP signal. Traditional waveform analyses revealed that the N170 component over occipitotemporal electrodes was larger in amplitude for faces compared to all non-faces, even those that were high in image similarity to faces, suggesting strict selectivity for veridical face stimuli. By contrast, single-trial classification of the entire waveform measured at the same sensors revealed that misclassifications of non-face patterns as faces increased with image-level similarity to faces. These results suggest that individual components may exhibit steep selectivity, but integration of multiple waveform features may afford graded information regarding stimulus appearance.

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Crossref · 10.1016/j.neuropsychologia.2011.09.046

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  1. Meng M Cherian T Singal G Sinha P (under review) Neural correlates of categorical face perception Proceedings of the National Academy of Sciences

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Authors
Moulson, M. C., Balas, B., Nelson, C., & Sinha, P.
Affiliations
  • Toronto Metropolitan University (CA)
  • North Dakota State University (US)
  • Boston Children's Hospital (US)
  • Massachusetts Institute of Technology (US)
Corresponding author
Moulson, Margaret C.
Venue
Neuropsychologia
Publisher
Elsevier BV
Published
2011-12
Volume
49
Issue
14
Pages
3847-3853
ISSN
0028-3932 (ISSN-L)
OpenAlex
W2056904313
Cited by
26
References
36
Citations by year
2026: 1 · 2023: 1 · 2022: 1 · 2021: 4 · 2020: 3 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 4 · 2014: 2 · 2013: 2 · 2012: 2
FWCI
0.97
Type
journal article
Language
en
Open access
Locations
  • Neuropsychologia (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (5R01MH078829, R21-EY015521)
  • Natural Sciences and Engineering Research Council of Canada (P20 RR020151)
  • James S. McDonnell Foundation
  • National Eye Institute
  • Simons Foundation
  • National Center for Research Resources
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
Keywords
face perception, N170, event-related potentials, face-selective neural responses, single-trial classification, waveform features, face detection, occipitotemporal cortex
MeSH terms
Adult, Analysis of Variance, Brain, Brain Mapping, Electroencephalography, Evoked Potentials, Visual, Face, Female, Humans, Male, Pattern Recognition, Visual, Photic Stimulation, Reaction Time, Recognition, Psychology, Young Adult

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