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

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 resonan...

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Main Authors:	Shabnam Ghahari, Emad Fatemizadeh, Ali Motie Nasrabadi
Format:	Article
Language:	English
Published:	Tehran University of Medical Sciences 2019-06-01
Series:	Frontiers in Biomedical Technologies
Subjects:	Functional Magnetic Resonance Imaging Dynamic Functional Connectivity Temporal Network Theory Spatial Distance Emotions
Online Access:	https://fbt.tums.ac.ir/index.php/fbt/article/view/210

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spelling	doaj-98ca5217f6db4c3ba3ee30c527ada9fb2020-11-25T04:02:15ZengTehran University of Medical SciencesFrontiers in Biomedical Technologies2345-58372019-06-016210.18502/fbt.v6i2.1689Studying the Distinction between Emotions in fMRI Data by Using Temporal Network TheoryShabnam Ghahari0Emad Fatemizadeh1Ali Motie Nasrabadi2Department of Biomedical Engineering-Bioelectric, Faculty of Medical Sciences and Technologies, Islamic Azad University Science, Research Branch, Tehran, IranDepartment of Electrical Engineering, Sharif University of Technology, Tehran, IranDepartment of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran 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. https://fbt.tums.ac.ir/index.php/fbt/article/view/210Functional Magnetic Resonance ImagingDynamic Functional ConnectivityTemporal Network TheorySpatial DistanceEmotions
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Shabnam Ghahari Emad Fatemizadeh Ali Motie Nasrabadi
spellingShingle	Shabnam Ghahari Emad Fatemizadeh Ali Motie Nasrabadi Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory Frontiers in Biomedical Technologies Functional Magnetic Resonance Imaging Dynamic Functional Connectivity Temporal Network Theory Spatial Distance Emotions
author_facet	Shabnam Ghahari Emad Fatemizadeh Ali Motie Nasrabadi
author_sort	Shabnam Ghahari
title	Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory
title_short	Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory
title_full	Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory
title_fullStr	Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory
title_full_unstemmed	Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory
title_sort	studying the distinction between emotions in fmri data by using temporal network theory
publisher	Tehran University of Medical Sciences
series	Frontiers in Biomedical Technologies
issn	2345-5837
publishDate	2019-06-01
description	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.
topic	Functional Magnetic Resonance Imaging Dynamic Functional Connectivity Temporal Network Theory Spatial Distance Emotions
url	https://fbt.tums.ac.ir/index.php/fbt/article/view/210
work_keys_str_mv	AT shabnamghahari studyingthedistinctionbetweenemotionsinfmridatabyusingtemporalnetworktheory AT emadfatemizadeh studyingthedistinctionbetweenemotionsinfmridatabyusingtemporalnetworktheory AT alimotienasrabadi studyingthedistinctionbetweenemotionsinfmridatabyusingtemporalnetworktheory
_version_	1724443782612516864

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

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