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Related Experiment Video

Updated: Jun 29, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

Parametric study of EEG sensitivity to phase noise during face processing.

Guillaume A Rousselet1, Cyril R Pernet, Patrick J Bennett

  • 1Centre for Cognitive Neuroimaging (CCNi) and Department of Psychology, University of Glasgow, Glasgow, UK. g.rousselet@psy.gla.ac.uk

BMC Neuroscience
|October 7, 2008
PubMed
Summary

Human visual processing speed for faces is quantified by analyzing early brain responses to phase information. Sensitivity to phase noise emerges between 120-170 ms, revealing how the brain processes complex object features.

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Area of Science:

  • Neuroscience
  • Visual Perception
  • Computational Neuroscience

Background:

  • Visual processing speed of complex objects like faces is difficult to measure due to confounding physical properties.
  • Early event-related potential (ERP) differences between faces and objects persist even when only phase information differs.
  • Parametric designs can investigate how early ERPs to faces are influenced by phase information.

Purpose of the Study:

  • To map the relationship between physical properties of faces and single-trial brain responses.
  • To quantitatively assess the time course of phase information processing in the human visual brain.
  • To understand how phase information shapes early event-related potentials (ERPs) to faces.

Main Methods:

  • Subjects performed a two-alternative forced-choice discrimination task with faces and control textures.

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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Related Experiment Videos

Last Updated: Jun 29, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

  • Stimuli were presented at varying phase noise levels (0-100%) with equated amplitude spectra.
  • Single-trial ERP data were analyzed using multiple linear regression.

    • Main Results:

    • Sensitivity to phase noise in faces emerged progressively between 120-130 ms and lasted 25-40 ms.
    • This sensitivity was robust within and across subjects.
    • Control experiments indicated that global image structure alone or higher-order statistics alone were insufficient to explain face-specific phase noise sensitivity.

    Conclusions:

    • This study provides the first quantitative assessment of the temporal dynamics of phase information processing in the human visual system.
    • Results are interpreted within a framework emphasizing image statistics and single-trial analysis.
    • The findings highlight the critical role of phase information and its temporal processing in recognizing complex objects like faces.