Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory

  • Shabnam Ghahari Department of Biomedical Engineering-Bioelectric, Faculty of Medical Sciences and Technologies, Islamic Azad University Science, Research Branch, Tehran, Iran
  • Emad Fatemizadeh Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
  • Ali Motie Nasrabadi Department of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
Keywords: Functional Magnetic Resonance Imaging, Dynamic Functional Connectivity, Temporal Network Theory, Spatial Distance, Emotions

Abstract

Purpose: Our purpose in this study was to investigate the distinction between emotional states and the performance of the brain during different feelings by using temporal network theory.

Materials and Methods: For investigating the distinction between emotions, we chose functional magnetic resonance imaging data acquired during the display of an emotional audio-movie. In order to derive dynamic functional connectivity and create time-graphlets, we used spatial distance method and for studying the features of the temporal network, we applied different temporal network measures.

Results: Considering statistical comparisons, two global measures of temporal efficiency and reachability latency showed a significant difference between at least one pair of emotional states and we observed different meaningful regions in each temporal centrality measure.

Conclusion: The results of this analytic method showed that the brain network pattern during the expression of different emotional states is different compared to one another and also varies through time.

Published
2019-06-30
How to Cite
1.
Ghahari S, Fatemizadeh E, Motie Nasrabadi A. Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory. Frontiers Biomed Technol. 6(2):87-93.
Section
Original Article(s)