Graph Analysis on Functional Connectivity Networks during an Emotional Paradigm

C. Lithari; M. A. Klados; P. D. Bamidis

doi:10.1007/978-3-642-13039-7_29

Graph Analysis on Functional Connectivity Networks during an Emotional Paradigm

C. Lithari, M. A. Klados, P. D. Bamidis

College of Health and Life Sciences

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Electroencephalographic (EEG) signals were recorded from 28 participants as they passively viewed emotional stimuli from International Affective Picture System (IAPS), categorized in 4 groups ranging in pleasure and arousal. The aim of the study was to examine if the Functional Connectivity Networks estimated during different emotional stimuli, differ in their characteristics. Functional Connectivity Networks were estimated for the four categories of emotional stimuli using coherence between each pair of electrodes on the frequency band of alpha rhythm. Graph metrics were calculated for each network and they were statistically analyzed. Pleasure was found to modify the local efficiency of the networks with unpleasant stimuli appearing to form networks with clusters easier than pleasant stimuli. Arousal also affected the global efficiency of the functional networks, with high arousing stimuli appearing to form networks with more efficient communication among nodes.

Original language	English
Title of host publication	XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010
Publisher	Springer
Pages	115-118
Number of pages	4
ISBN (Electronic)	978-3-642-13039-7
ISBN (Print)	978-3-642-13038-0
DOIs	https://doi.org/10.1007/978-3-642-13039-7_29
Publication status	Published - 2010

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10.1007/978-3-642-13039-7_29

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title = "Graph Analysis on Functional Connectivity Networks during an Emotional Paradigm",

abstract = "Electroencephalographic (EEG) signals were recorded from 28 participants as they passively viewed emotional stimuli from International Affective Picture System (IAPS), categorized in 4 groups ranging in pleasure and arousal. The aim of the study was to examine if the Functional Connectivity Networks estimated during different emotional stimuli, differ in their characteristics. Functional Connectivity Networks were estimated for the four categories of emotional stimuli using coherence between each pair of electrodes on the frequency band of alpha rhythm. Graph metrics were calculated for each network and they were statistically analyzed. Pleasure was found to modify the local efficiency of the networks with unpleasant stimuli appearing to form networks with clusters easier than pleasant stimuli. Arousal also affected the global efficiency of the functional networks, with high arousing stimuli appearing to form networks with more efficient communication among nodes.",

author = "C. Lithari and Klados, {M. A.} and Bamidis, {P. D.}",

year = "2010",

doi = "10.1007/978-3-642-13039-7_29",

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TY - GEN

T1 - Graph Analysis on Functional Connectivity Networks during an Emotional Paradigm

AU - Lithari, C.

AU - Klados, M. A.

AU - Bamidis, P. D.

PY - 2010

Y1 - 2010

N2 - Electroencephalographic (EEG) signals were recorded from 28 participants as they passively viewed emotional stimuli from International Affective Picture System (IAPS), categorized in 4 groups ranging in pleasure and arousal. The aim of the study was to examine if the Functional Connectivity Networks estimated during different emotional stimuli, differ in their characteristics. Functional Connectivity Networks were estimated for the four categories of emotional stimuli using coherence between each pair of electrodes on the frequency band of alpha rhythm. Graph metrics were calculated for each network and they were statistically analyzed. Pleasure was found to modify the local efficiency of the networks with unpleasant stimuli appearing to form networks with clusters easier than pleasant stimuli. Arousal also affected the global efficiency of the functional networks, with high arousing stimuli appearing to form networks with more efficient communication among nodes.

AB - Electroencephalographic (EEG) signals were recorded from 28 participants as they passively viewed emotional stimuli from International Affective Picture System (IAPS), categorized in 4 groups ranging in pleasure and arousal. The aim of the study was to examine if the Functional Connectivity Networks estimated during different emotional stimuli, differ in their characteristics. Functional Connectivity Networks were estimated for the four categories of emotional stimuli using coherence between each pair of electrodes on the frequency band of alpha rhythm. Graph metrics were calculated for each network and they were statistically analyzed. Pleasure was found to modify the local efficiency of the networks with unpleasant stimuli appearing to form networks with clusters easier than pleasant stimuli. Arousal also affected the global efficiency of the functional networks, with high arousing stimuli appearing to form networks with more efficient communication among nodes.

UR - https://link.springer.com/chapter/10.1007%2F978-3-642-13039-7_29

U2 - 10.1007/978-3-642-13039-7_29

DO - 10.1007/978-3-642-13039-7_29

M3 - Conference publication

SN - 978-3-642-13038-0

SP - 115

EP - 118

BT - XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010

PB - Springer

ER -

Graph Analysis on Functional Connectivity Networks during an Emotional Paradigm

Abstract

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