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

Shabnam Ghahari | Ali Motie-Nasrabadi | Emad Fatemizadeh

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=116919
Date :  2019/06/30
Publish in :    Frontiers in Biomedical Technologies


Keywords :Functional Magnetic Resonance Imaging; Dynamic Functional Connectivity; Temporal Network Theory; Spatial Distance; Emotions.

Abstract :

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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.