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Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
Published on: February 1, 2012
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Investigation of functional brain network reconfiguration during vocal emotional processing using graph-theoretical
Shih-Yen Lin1,2, Chi-Chun Lee3, Yong-Sheng Chen2
1Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan.
Social Cognitive and Affective Neuroscience
|June 4, 2019
Summary
Understanding vocal emotions significantly alters brain network topology. High-arousal or negative-valence stimuli cause notable changes in functional connectivity (FC) and network attributes.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Vocal expressions are crucial for social interaction and emotion conveyance.
- Limited understanding exists on how vocal emotion perception impacts functional brain network topology.
Purpose of the Study:
- To investigate functional brain network alterations in response to varying vocal emotional attributes.
- To analyze network topology using graph-theoretical methods.
Main Methods:
- Functional magnetic resonance imaging (fMRI) on 36 healthy participants.
- Power-264 atlas for interregional functional connectivity (FC) calculation.
- Orthogonal minimal spanning trees for topological filtering and statistical comparisons.
Main Results:
- Brain network attributes (FC, nodal, global) significantly changed under high-arousal or negative-valence vocal stimuli.
- Alterations were observed within and between large-scale functional brain networks.
- Functional brain network topology is modulated by the perception of vocal emotional expressions.
Conclusions:
- Comprehending emotional speech dynamically modulates brain networks.
- These findings offer insights into the neural processing of emotional speech and differentiation of emotional states.
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