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EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis.

Majid Roshanaei1, Hamzeh Norouzi1, Julie Onton2

  • 1Student Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Scientific Reports
|January 17, 2025
PubMed
Summary
This summary is machine-generated.

This study reveals how brain connectivity patterns change during different emotions using EEG analysis. Specific brain regions and frequency bands are key to processing emotions, offering insights for mental health applications.

Keywords:
Brain networksCoherence analysisEEG connectivityEmotional statesGranger causalityGraph theoretical analysis

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychophysiology

Background:

  • Understanding the neural basis of emotion is crucial for mental health.
  • Emotional processing involves complex interactions across brain networks.
  • Existing research highlights the need for detailed analysis of brain connectivity during emotional states.

Purpose of the Study:

  • To investigate neural mechanisms of emotional processing.
  • To analyze electroencephalography (EEG) connectivity patterns during induced emotions.
  • To identify specific brain regions and frequency bands involved in emotional experiences.

Main Methods:

  • Independent Component Analysis (ICA) for artifact removal.
  • Frequency-specific connectivity analysis (coherence, Granger causality).
  • Graph theoretical measures to assess functional and effective connectivity.

Main Results:

  • Graph analysis showed significant connectivity differences in delta and beta bands across emotions.
  • Precentral, superior frontal, and temporal areas were implicated in emotional processing.
  • Coherence analysis revealed predominant alpha activity, with enhanced beta activity for fear, grief, and jealousy.
  • Gamma band showed activity only for sadness in specific right-lobe regions.
  • Granger causality indicated dominant beta and gamma bands, with minimal theta band modulation.

Conclusions:

  • Brain connectivity patterns, particularly in delta and beta bands, significantly differ across emotions.
  • Specific brain regions and frequency bands play distinct roles in emotional processing.
  • Findings have implications for mental health interventions, biomarker discovery, and human-computer interaction.