A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA

Neuroscientists have investigated the functionality of the brain in detail and achieved remarkable results but this area still need further research. Functional magnetic resonance imaging (fMRI) is considered as the most reliable and accurate technique to decode the human brain activity, on the othe...

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Main Authors: Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F.
Format: Article
Published: Springer Netherlands 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048466910&doi=10.1007%2fs13246-018-0656-5&partnerID=40&md5=15cf391d75bc0278fce006b358a38b86
http://eprints.utp.edu.my/20847/
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spelling my.utp.eprints.208472019-02-26T02:31:58Z A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA Zafar, R. Kamel, N. Naufal, M. Malik, A.S. Dass, S.C. Ahmad, R.F. Abdullah, J.M. Reza, F. Neuroscientists have investigated the functionality of the brain in detail and achieved remarkable results but this area still need further research. Functional magnetic resonance imaging (fMRI) is considered as the most reliable and accurate technique to decode the human brain activity, on the other hand electroencephalography (EEG) is a portable and low cost solution in brain research. The purpose of this study is to find whether EEG can be used to decode the brain activity patterns like fMRI. In fMRI, data from a very specific brain region is enough to decode the brain activity patterns due to the quality of data. On the other hand, EEG can measure the rapid changes in neuronal activity patterns due to its higher temporal resolution i.e., in msec. These rapid changes mostly occur in different brain regions. In this study, multivariate pattern analysis (MVPA) is used both for EEG and fMRI data analysis and the information is extracted from distributed activation patterns of the brain. The significant information among different classes is extracted using two sample t test in both data sets. Finally, the classification analysis is done using the support vector machine. A fair comparison of both data sets is done using the same analysis techniques, moreover simultaneously collected data of EEG and fMRI is used for this comparison. The final analysis is done with the data of eight participants; the average result of all conditions are found which is 65.7 for EEG data set and 64.1 for fMRI data set. It concludes that EEG is capable of doing brain decoding with the data from multiple brain regions. In other words, decoding accuracy with EEG MVPA is as good as fMRI MVPA and is above chance level. © 2018 Australasian College of Physical Scientists and Engineers in Medicine Springer Netherlands 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048466910&doi=10.1007%2fs13246-018-0656-5&partnerID=40&md5=15cf391d75bc0278fce006b358a38b86 Zafar, R. and Kamel, N. and Naufal, M. and Malik, A.S. and Dass, S.C. and Ahmad, R.F. and Abdullah, J.M. and Reza, F. (2018) A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA. Australasian Physical and Engineering Sciences in Medicine . pp. 1-13. http://eprints.utp.edu.my/20847/
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 Neuroscientists have investigated the functionality of the brain in detail and achieved remarkable results but this area still need further research. Functional magnetic resonance imaging (fMRI) is considered as the most reliable and accurate technique to decode the human brain activity, on the other hand electroencephalography (EEG) is a portable and low cost solution in brain research. The purpose of this study is to find whether EEG can be used to decode the brain activity patterns like fMRI. In fMRI, data from a very specific brain region is enough to decode the brain activity patterns due to the quality of data. On the other hand, EEG can measure the rapid changes in neuronal activity patterns due to its higher temporal resolution i.e., in msec. These rapid changes mostly occur in different brain regions. In this study, multivariate pattern analysis (MVPA) is used both for EEG and fMRI data analysis and the information is extracted from distributed activation patterns of the brain. The significant information among different classes is extracted using two sample t test in both data sets. Finally, the classification analysis is done using the support vector machine. A fair comparison of both data sets is done using the same analysis techniques, moreover simultaneously collected data of EEG and fMRI is used for this comparison. The final analysis is done with the data of eight participants; the average result of all conditions are found which is 65.7 for EEG data set and 64.1 for fMRI data set. It concludes that EEG is capable of doing brain decoding with the data from multiple brain regions. In other words, decoding accuracy with EEG MVPA is as good as fMRI MVPA and is above chance level. © 2018 Australasian College of Physical Scientists and Engineers in Medicine
format Article
author Zafar, R.
Kamel, N.
Naufal, M.
Malik, A.S.
Dass, S.C.
Ahmad, R.F.
Abdullah, J.M.
Reza, F.
spellingShingle Zafar, R.
Kamel, N.
Naufal, M.
Malik, A.S.
Dass, S.C.
Ahmad, R.F.
Abdullah, J.M.
Reza, F.
A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA
author_facet Zafar, R.
Kamel, N.
Naufal, M.
Malik, A.S.
Dass, S.C.
Ahmad, R.F.
Abdullah, J.M.
Reza, F.
author_sort Zafar, R.
title A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA
title_short A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA
title_full A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA
title_fullStr A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA
title_full_unstemmed A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA
title_sort study of decoding human brain activities from simultaneous data of eeg and fmri using mvpa
publisher Springer Netherlands
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048466910&doi=10.1007%2fs13246-018-0656-5&partnerID=40&md5=15cf391d75bc0278fce006b358a38b86
http://eprints.utp.edu.my/20847/
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