Literature DB >> 27138205

A single glance at natural face images generate larger and qualitatively different category-selective spatio-temporal signatures than other ecologically-relevant categories in the human brain.

Corentin Jacques1, Talia L Retter2, Bruno Rossion3.   

Abstract

Although humans discriminate natural images of faces from other categories at a single glance, clarifying the neural specificity and spatio-temporal dynamics of this process without low-level visual confounds remains a challenge. We recorded high-density scalp electroencephalogram while presenting natural images of various objects at a fast periodic rate (5.88images/s). In different stimulation sequences, numerous variable exemplars of three categories associated with cortical specialization in neuroimaging - faces, body parts, or houses - appeared every five images (5.88Hz/5=1.18Hz). In these fast periodic visual stimulation (FPVS) sequences, common low- and high-level visual processes between these categories and other objects are captured at the 5.88Hz frequency, while high-level category-selective responses are objectively quantified at the 1.18Hz frequency and harmonics. Category-selective responses differed quantitatively and qualitatively between faces, body parts and houses. First, they were much larger (2-4 times) for faces over the whole scalp. Second, specific and reliable scalp topographical maps of category-selective responses pointed to distinct principle neural sources for faces (ventral occipito-temporal), body parts (lateral occipito-temporal) and houses (dorso-medial occipital). Category-selective EEG responses were found at multiple time-windows from 110 to 600ms post-stimulus onset. Faces elicited the most complex spatio-temporal profile with up to four selective responses, although body parts and houses also elicited selective responses more complex than previously described. These observations indicate that a single glance at natural face images inserted in a rapid stream of natural objects generates a quantitatively and qualitatively unique category-selective spatio-temporal signature in occipito-temporal cortical areas of the human brain.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Body part perception; Electroencephalogram; Face perception; Occipito-temporal cortex; Scene perception; Visual perception

Mesh:

Year:  2016        PMID: 27138205     DOI: 10.1016/j.neuroimage.2016.04.045

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  9 in total

1.  Low and high frequency intracranial neural signals match in the human associative cortex.

Authors:  Corentin Jacques; Jacques Jonas; Sophie Colnat-Coulbois; Louis Maillard; Bruno Rossion
Journal:  Elife       Date:  2022-09-08       Impact factor: 8.713

2.  All-or-none face categorization in the human brain.

Authors:  Talia L Retter; Fang Jiang; Michael A Webster; Bruno Rossion
Journal:  Neuroimage       Date:  2020-02-28       Impact factor: 6.556

3.  Present and past selves: a steady-state visual evoked potentials approach to self-face processing.

Authors:  I Kotlewska; M J Wójcik; M M Nowicka; K Marczak; A Nowicka
Journal:  Sci Rep       Date:  2017-11-27       Impact factor: 4.379

4.  Reduced neural sensitivity to rapid individual face discrimination in autism spectrum disorder.

Authors:  Sofie Vettori; Milena Dzhelyova; Stephanie Van der Donck; Corentin Jacques; Jean Steyaert; Bruno Rossion; Bart Boets
Journal:  Neuroimage Clin       Date:  2018-11-28       Impact factor: 4.881

5.  Snakes elicit specific neural responses in the human infant brain.

Authors:  J Bertels; M Bourguignon; A de Heering; F Chetail; X De Tiège; A Cleeremans; A Destrebecqz
Journal:  Sci Rep       Date:  2020-05-04       Impact factor: 4.379

6.  Combined frequency-tagging EEG and eye-tracking measures provide no support for the "excess mouth/diminished eye attention" hypothesis in autism.

Authors:  Sofie Vettori; Stephanie Van der Donck; Jannes Nys; Pieter Moors; Tim Van Wesemael; Jean Steyaert; Bruno Rossion; Milena Dzhelyova; Bart Boets
Journal:  Mol Autism       Date:  2020-11-23       Impact factor: 7.509

7.  The Decision Decoding ToolBOX (DDTBOX) - A Multivariate Pattern Analysis Toolbox for Event-Related Potentials.

Authors:  Stefan Bode; Daniel Feuerriegel; Daniel Bennett; Phillip M Alday
Journal:  Neuroinformatics       Date:  2019-01

8.  Frequency-Tagging Electroencephalography of Superimposed Social and Non-Social Visual Stimulation Streams Reveals Reduced Saliency of Faces in Autism Spectrum Disorder.

Authors:  Sofie Vettori; Milena Dzhelyova; Stephanie Van der Donck; Corentin Jacques; Jean Steyaert; Bruno Rossion; Bart Boets
Journal:  Front Psychiatry       Date:  2020-04-28       Impact factor: 4.157

9.  Face-selective responses in combined EEG/MEG recordings with fast periodic visual stimulation (FPVS).

Authors:  O Hauk; G E Rice; A Volfart; F Magnabosco; M A Lambon Ralph; B Rossion
Journal:  Neuroimage       Date:  2021-08-05       Impact factor: 6.556

  9 in total

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