Literature DB >> 21346000

Robust sensitivity to facial identity in the right human occipito-temporal cortex as revealed by steady-state visual-evoked potentials.

Bruno Rossion1, Adriano Boremanse.   

Abstract

Understanding how the human brain discriminates complex visual patterns, such as individual faces, is an important issue in Vision Science. Here we tested sensitivity to individual faces using steady-state visual-evoked potentials (SSVEPs). Twelve participants were presented with 90-s sequences of faces appearing at a constant rate (3.5 faces/s) while high-density electroencephalogram (EEG) was recorded. Fast Fourier Transform (FFT) of EEG showed a large response at the fundamental stimulation frequency (3.5 Hz) over posterior electrode sites. This response was much larger when the face identity changed at that rate (different faces) than when an identical face was repeated. The reduction of signal in the identical face condition was not due to low-level feature adaptation, since it was observed despite changes of stimulus size, and was localized specifically over the right lateral occipital cortex. Moreover, the difference between conditions disappeared when faces were inverted. This first observation of habituation of the SSVEP to repeated face identity in the human brain provides further evidence for face individualization in the right occipito-temporal cortex by means of a simple, fast, and high signal-to-noise approach. Most importantly, it offers a promising tool to study the sensitivity to visual features of individual faces and objects in the human brain.

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Mesh:

Year:  2011        PMID: 21346000     DOI: 10.1167/11.2.16

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  42 in total

1.  Fearful faces heighten the cortical representation of contextual threat.

Authors:  Matthias J Wieser; Andreas Keil
Journal:  Neuroimage       Date:  2013-10-12       Impact factor: 6.556

Review 2.  The steady-state visual evoked potential in vision research: A review.

Authors:  Anthony M Norcia; L Gregory Appelbaum; Justin M Ales; Benoit R Cottereau; Bruno Rossion
Journal:  J Vis       Date:  2015       Impact factor: 2.240

Review 3.  Exploring how musical rhythm entrains brain activity with electroencephalogram frequency-tagging.

Authors:  Sylvie Nozaradan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-12-19       Impact factor: 6.237

4.  How the visual brain detects emotional changes in facial expressions: Evidence from driven and intrinsic brain oscillations.

Authors:  Rafaela R Campagnoli; Matthias J Wieser; L Forest Gruss; Maeve R Boylan; Lisa M McTeague; Andreas Keil
Journal:  Cortex       Date:  2018-10-16       Impact factor: 4.027

5.  Emotional facial expressions reduce neural adaptation to face identity.

Authors:  Anna M V Gerlicher; Anouk M van Loon; H Steven Scholte; Victor A F Lamme; Andries R van der Leij
Journal:  Soc Cogn Affect Neurosci       Date:  2013-03-19       Impact factor: 3.436

6.  Being BOLD: The neural dynamics of face perception.

Authors:  Francesco Gentile; Justin Ales; Bruno Rossion
Journal:  Hum Brain Mapp       Date:  2016-09-01       Impact factor: 5.038

7.  Steady-state visually evoked potential correlates of human body perception.

Authors:  Claire-Marie Giabbiconi; Verena Jurilj; Thomas Gruber; Silja Vocks
Journal:  Exp Brain Res       Date:  2016-06-30       Impact factor: 1.972

8.  Free-Field Cortical Steady-State Evoked Potentials in Cochlear Implant Users.

Authors:  Razieh Alemi; Sylvie Nozaradan; Alexandre Lehmann
Journal:  Brain Topogr       Date:  2021-06-29       Impact factor: 3.020

Review 9.  Steady-state visual evoked potentials as a research tool in social affective neuroscience.

Authors:  Matthias J Wieser; Vladimir Miskovic; Andreas Keil
Journal:  Psychophysiology       Date:  2016-10-04       Impact factor: 4.016

10.  Piecing it together: infants' neural responses to face and object structure.

Authors:  Faraz Farzin; Chuan Hou; Anthony M Norcia
Journal:  J Vis       Date:  2012-12-06       Impact factor: 2.240

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