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Differences in brain activations between micro- and macro-expressions based on electroencephalography.

Xingcong Zhao1,2, Ying Liu2,3, Tong Chen1,2

  • 1School of Electronic and Information Engineering, Southwest University, Chongqing, China.

Frontiers in Neuroscience
|September 29, 2022
PubMed
Summary
This summary is machine-generated.

This study reveals distinct brain mechanisms underlying micro-expressions and macro-expressions. Micro-expressions show unique neural activation patterns, paving the way for EEG-based emotion recognition.

Keywords:
electroencephalography (EEG)emotionexpression inhibitionmacro-expressionsmicro-expressions

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Biomedical Engineering

Background:

  • Micro-expressions offer insights into emotions and mental states, crucial for fields like mental health and security.
  • Current recognition methods (image-based, expert assessment) are limited by scenarios and time constraints.
  • Understanding the neuroscientific basis of micro-expressions is essential for developing advanced recognition technologies.

Purpose of the Study:

  • To investigate the neural mechanisms differentiating micro-expressions from macro-expressions.
  • To establish a foundation for micro-expression recognition using electroencephalogram (EEG) signals.
  • To explore the neuroscientific differences between positive and negative emotional micro-expressions.

Main Methods:

  • A novel real-time supervision and emotional expression suppression (SEES) paradigm was employed.
  • Synchronous collection of facial expressions and electroencephalograms (EEG) was performed.
  • EEG signals were analyzed at both scalp and source levels to identify neural patterns.

Main Results:

  • Micro-expressions under positive emotions showed stronger activation in frontal regions (premotor cortex, supplementary motor cortex, middle frontal gyrus) compared to macro-expressions.
  • Under negative emotions, micro-expressions exhibited weaker activation in the somatosensory cortex and corneal gyrus than macro-expressions.
  • The right temporoparietal junction (rTPJ) showed stronger activation for micro-expressions during positive emotions than negative emotions.

Conclusions:

  • Distinct neural pathways and activation patterns underlie micro- and macro-expressions.
  • Positive emotional micro-expressions rely more on facial control pathways, while negative ones depend on emotional intensity.
  • These findings provide a neuroscientific basis for EEG-based micro-expression recognition.