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Gender Differences in Global Functional Connectivity During Facial Emotion Processing: A Visual MMN Study.

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Summary

Females exhibit stronger and more widespread brain connectivity when processing facial expressions unconsciously compared to males. This study explored gender differences in visual mismatch negativity (vMMN) brain responses.

Keywords:
facial expressionsfunctional connectivitygender differencephase lag index (PLI)visual mismatch negativity (vMMN)

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Gender Studies

Background:

  • Unattended emotional facial expression processing is crucial for social interaction.
  • Gender differences in brain function, particularly in emotional processing, are increasingly recognized.

Purpose of the Study:

  • To investigate gender-specific differences in functional brain connectivity during the automatic processing of facial expressions.
  • To analyze dynamic network topologies and time-frequency power related to visual mismatch negativity (vMMN).

Main Methods:

  • Recorded visual mismatch negativity (vMMN) in 34 adults using a deviant-standard reverse oddball paradigm.
  • Employed wavelet analysis for time-frequency (TF) power and phase lag index (PLI) calculations.
  • Analyzed dynamic network topologies across delta, theta, alpha, beta, and gamma frequency bands.

Main Results:

  • Females showed significantly stronger TF power and PLI in the alpha band compared to males.
  • Females exhibited a higher proportion of long-distance connections in brain networks.
  • Male brains displayed high node degree in local regions, while female brains showed this across wider areas.

Conclusions:

  • Female brains demonstrate enhanced and more distributed functional connectivity during unattended facial expression processing.
  • These findings suggest significant gender-based variations in automatic social-cognitive neural networks.