Study of emotional state effect on decision making by using fNIRS

The paper studies the effect of emotional states modulated by auditory stimuli on the cognitive control on decision making. Based on other previous neuroimaging studies, functional near-infrared spectroscopy provided reliable neuroimaging measurement in analyzing emotional states by studying the cha...

Full description

Saved in:
Bibliographic Details
Main Authors: Chong, J.S., Lu, C.-K., Tang, T.B.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084277749&doi=10.1109%2fICSyS47076.2019.8982433&partnerID=40&md5=6b5e08fe23186473cae6a41c8e64160c
http://eprints.utp.edu.my/24962/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.24962
record_format eprints
spelling my.utp.eprints.249622021-08-27T08:35:09Z Study of emotional state effect on decision making by using fNIRS Chong, J.S. Lu, C.-K. Tang, T.B. The paper studies the effect of emotional states modulated by auditory stimuli on the cognitive control on decision making. Based on other previous neuroimaging studies, functional near-infrared spectroscopy provided reliable neuroimaging measurement in analyzing emotional states by studying the changes of hemodynamic response in prefrontal cortex (PFC). This experiment involved 16 nursing students. During the experiment, participants were given one minute to complete five nursing practice questions with five sequential repetitions in the presence of neutral and negative emotional auditory stimuli in two separated sessions under fNIRS measurement. The sound stimuli was selected from the International Affective Digitized Sound (IADS) System. The neutral auditory stimuli had neutral valence and medium arousal rating whereas negative auditory stimuli had negative valence and high arousal rating. The data collected was preprocessed by using wavelet transform to decompose the data into different frequency intervals. By selecting the frequency interval of interest, we analyzed the data based on functional connectivity within prefrontal cortex regions. We computed the regional wavelet coherence values between affective and neutral tasks. From the behavioral analysis, we found that subjects had significantly higher accuracy in affective task compared to neutral task. Based on the analysis, we found that left prefrontal cortex produced significantly lower wavelet coherence value but the highest coherence-accuracy correlation in affective task than in neutral task. © 2019 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084277749&doi=10.1109%2fICSyS47076.2019.8982433&partnerID=40&md5=6b5e08fe23186473cae6a41c8e64160c Chong, J.S. and Lu, C.-K. and Tang, T.B. (2019) Study of emotional state effect on decision making by using fNIRS. In: UNSPECIFIED. http://eprints.utp.edu.my/24962/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The paper studies the effect of emotional states modulated by auditory stimuli on the cognitive control on decision making. Based on other previous neuroimaging studies, functional near-infrared spectroscopy provided reliable neuroimaging measurement in analyzing emotional states by studying the changes of hemodynamic response in prefrontal cortex (PFC). This experiment involved 16 nursing students. During the experiment, participants were given one minute to complete five nursing practice questions with five sequential repetitions in the presence of neutral and negative emotional auditory stimuli in two separated sessions under fNIRS measurement. The sound stimuli was selected from the International Affective Digitized Sound (IADS) System. The neutral auditory stimuli had neutral valence and medium arousal rating whereas negative auditory stimuli had negative valence and high arousal rating. The data collected was preprocessed by using wavelet transform to decompose the data into different frequency intervals. By selecting the frequency interval of interest, we analyzed the data based on functional connectivity within prefrontal cortex regions. We computed the regional wavelet coherence values between affective and neutral tasks. From the behavioral analysis, we found that subjects had significantly higher accuracy in affective task compared to neutral task. Based on the analysis, we found that left prefrontal cortex produced significantly lower wavelet coherence value but the highest coherence-accuracy correlation in affective task than in neutral task. © 2019 IEEE.
format Conference or Workshop Item
author Chong, J.S.
Lu, C.-K.
Tang, T.B.
spellingShingle Chong, J.S.
Lu, C.-K.
Tang, T.B.
Study of emotional state effect on decision making by using fNIRS
author_facet Chong, J.S.
Lu, C.-K.
Tang, T.B.
author_sort Chong, J.S.
title Study of emotional state effect on decision making by using fNIRS
title_short Study of emotional state effect on decision making by using fNIRS
title_full Study of emotional state effect on decision making by using fNIRS
title_fullStr Study of emotional state effect on decision making by using fNIRS
title_full_unstemmed Study of emotional state effect on decision making by using fNIRS
title_sort study of emotional state effect on decision making by using fnirs
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084277749&doi=10.1109%2fICSyS47076.2019.8982433&partnerID=40&md5=6b5e08fe23186473cae6a41c8e64160c
http://eprints.utp.edu.my/24962/
_version_ 1738656663758438400
score 13.160551