EEG-based brain connectivity analysis of working memory and attention

Recent research reveal that the Working Memory (WM) is more powerful than IQ as a predictor of academic success. However, there are factors that may influence WM performance, such as Attention. Although the impact of attention is well documented using ERPs; yet, the underlying brain connectivity of...

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Main Authors: Bashiri, M., Mumtaz, W., Malik, A.S., Waqar, K.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30881 /
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965176278&doi=10.1109%2fISSBES.2015.7435890&partnerID=40&md5=805e2a7f083434bdf790e336d1e5f10c
http://eprints.utp.edu.my/30881/
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id utp-eprints.30881
recordtype eprints
spelling utp-eprints.308812022-03-25T07:40:16Z EEG-based brain connectivity analysis of working memory and attention Bashiri, M. Mumtaz, W. Malik, A.S. Waqar, K. Recent research reveal that the Working Memory (WM) is more powerful than IQ as a predictor of academic success. However, there are factors that may influence WM performance, such as Attention. Although the impact of attention is well documented using ERPs; yet, the underlying brain connectivity of the interaction of these two constructs is not sufficiently understood. In this study, a Delay-Response task and electroencephalography (EEG) data are used to investigate the brain connectivity during two stages of Working Memory: Encoding and Maintenance. We have presented distraction in both stages, and a secondary task in maintenance stage. Scalp EEG data of 19 participants were recorded. These results not only reveal the underlying brain connectivity of each task, but also highlights the differences between distraction and multitasking. The results show significant brain connectivity changes in the frontal and occipital areas of the brain depending on the WM stage where the distraction is presented. © 2015 IEEE. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965176278&doi=10.1109%2fISSBES.2015.7435890&partnerID=40&md5=805e2a7f083434bdf790e336d1e5f10c Bashiri, M. and Mumtaz, W. and Malik, A.S. and Waqar, K. (2016) EEG-based brain connectivity analysis of working memory and attention. In: UNSPECIFIED. http://eprints.utp.edu.my/30881/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Recent research reveal that the Working Memory (WM) is more powerful than IQ as a predictor of academic success. However, there are factors that may influence WM performance, such as Attention. Although the impact of attention is well documented using ERPs; yet, the underlying brain connectivity of the interaction of these two constructs is not sufficiently understood. In this study, a Delay-Response task and electroencephalography (EEG) data are used to investigate the brain connectivity during two stages of Working Memory: Encoding and Maintenance. We have presented distraction in both stages, and a secondary task in maintenance stage. Scalp EEG data of 19 participants were recorded. These results not only reveal the underlying brain connectivity of each task, but also highlights the differences between distraction and multitasking. The results show significant brain connectivity changes in the frontal and occipital areas of the brain depending on the WM stage where the distraction is presented. © 2015 IEEE.
format Conference or Workshop Item
author Bashiri, M.
Mumtaz, W.
Malik, A.S.
Waqar, K.
spellingShingle Bashiri, M.
Mumtaz, W.
Malik, A.S.
Waqar, K.
EEG-based brain connectivity analysis of working memory and attention
author_sort Bashiri, M.
title EEG-based brain connectivity analysis of working memory and attention
title_short EEG-based brain connectivity analysis of working memory and attention
title_full EEG-based brain connectivity analysis of working memory and attention
title_fullStr EEG-based brain connectivity analysis of working memory and attention
title_full_unstemmed EEG-based brain connectivity analysis of working memory and attention
title_sort eeg-based brain connectivity analysis of working memory and attention
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965176278&doi=10.1109%2fISSBES.2015.7435890&partnerID=40&md5=805e2a7f083434bdf790e336d1e5f10c
http://eprints.utp.edu.my/30881/
_version_ 1741197482934665216
score 11.62408

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