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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
956

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Emotion-Induced Topological Changes in Functional Brain Networks.

Chang-Hyun Park1, Hae-Kook Lee2, Yong-Sil Kweon2

  • 1Department of Neurology, Ewha Medical Research Institute, Ewha Womans University School of Medicine, Seoul, Korea.

Brain Topography
|August 31, 2015
PubMed
Summary

Brain network activity changes based on facial expression context. Negative faces alter brain network topology, impacting both face processing and whole-brain networks, suggesting context-dependent neural interactions.

Keywords:
Emotional stimulusFacial expressionFunctional brain networkGraph-theoretical analysisfMRI

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Functional Neuroimaging

Background:

  • Facial expression perception involves distributed brain networks.
  • Stimulus context influences brain activation patterns.
  • The interaction between brain activation and context in facial expression processing is not fully understood.

Purpose of the Study:

  • To investigate how stimulus context (neutral vs. negative facial expressions) affects functional brain network topology.
  • To examine network interactivity across the whole brain and within the face processing network.
  • To explore emotion-induced changes in brain network properties.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) data from 19 healthy subjects.
  • Construction of group-wise functional brain networks for face processing areas and whole-brain regions using partial correlation.
  • Comparison of network topological properties (global and local efficiency) between neutral and negative facial expression stimuli.

Main Results:

  • Both face processing and whole-brain networks exhibited lower global efficiency and higher local efficiency for negative faces compared to neutral faces.
  • Network topology significantly differed based on facial expression stimulus context.
  • Emotion-induced changes in the face processing network were linked to interactions between core (IOG, FG, STS) and extended (AMG, IFG, OFC) systems.

Conclusions:

  • Facial expression perception is context-dependent, altering functional brain network topology.
  • Changes in brain activation patterns in response to emotional faces are reflected in the topological properties of both specialized face networks and the whole brain.
  • This study highlights the dynamic and interactive nature of neural processing during emotional face perception.