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Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
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Published on: July 26, 2019

EEG evidence of face-specific visual self-representation.

Makoto Miyakoshi1, Noriaki Kanayama, Tetsuya Iidaka

  • 1Graduate School of Environmental Studies, Department of Psychology, Nagoya University, Nagoya, Aichi, Japan. matao.ncgg@gmail.com

Neuroimage
|January 19, 2010
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Summary

Visual self-representation is domain-specific, not general. An EEG study found face-specific processing, suggesting distinct neural networks for self-representation of one's own face compared to other objects.

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Electrophysiology

Background:

  • Self-representation is often studied using faces as stimuli.
  • Previous research assumed domain-generality of self-representation.
  • A prior fMRI study challenged this assumption, necessitating further investigation with higher temporal resolution.

Purpose of the Study:

  • To investigate the domain-generality of visual self-representation using electroencephalography (EEG).
  • To determine if self-relevance is processed similarly for faces and other objects (cups).
  • To examine neural oscillatory responses associated with self-representation.

Main Methods:

  • An EEG study was conducted using faces and cups as stimuli at three familiarity levels: Self, Familiar, and Unfamiliar.
  • Domain-general self-representation was operationally defined by shared self-relevance across stimuli.
  • Analysis focused on phase resetting and inter-trial phase coherency in specific frequency bands (theta, alpha) and brain regions (medial frontal, fusiform).

Main Results:

  • Comparable phase resetting in response to familiarity manipulation was observed for both faces and cups in the medial frontal area (270-390 ms, theta band).
  • However, self-specific dissociation was found only for faces.
  • A decrease in inter-trial phase coherency was observed for Self-Face in the right fusiform area (170-290 ms, alpha and theta bands), indicating sharpened neural networks.

Conclusions:

  • Visual self-representation is domain-specific, particularly for faces.
  • Oscillatory responses provide evidence for face-specific visual self-representation.
  • Sharpened neural networks may underlie the representation of one's own face.