Mapping of language brain areas in patients with brain tumors

Language cortex in the human brain shows high variability among normal individuals and may exhibit a considerable shift from its original position due to tumor growth. Mapping the precise location of language areas is important before surgery to avoid postoperative language deficits. In this paper,...

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Main Authors: Hyder, R., Kamel, N., Boon, T.T., Reza, F.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.26195 /
Published: Institute of Electrical and Electronics Engineers Inc. 2015
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953266839&doi=10.1109%2fEMBC.2015.7318440&partnerID=40&md5=523f700176e95fd8aaf2dbda7b416a21
http://eprints.utp.edu.my/26195/
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spelling utp-eprints.261952021-08-30T08:54:04Z Mapping of language brain areas in patients with brain tumors Hyder, R. Kamel, N. Boon, T.T. Reza, F. Language cortex in the human brain shows high variability among normal individuals and may exhibit a considerable shift from its original position due to tumor growth. Mapping the precise location of language areas is important before surgery to avoid postoperative language deficits. In this paper, the Magnetoencephalography (MEG) recording and the MRI scanning of six brain tumorous subjects are used to localize the language specific areas. MEG recordings were performed during two silent reading tasks; silent word reading and silent picture naming. MEG source imaging is performed using distributed source modeling technique called CLARA ('Classical LORETA Analysis Recursively Applied'). Estimated MEG sources are overlaid on individual MRI of each patient to improve interpretation of MEG source imaging results. The results show successful identification of the essential language areas and clear definition of the time course of neural activation connecting them. © 2015 IEEE. Institute of Electrical and Electronics Engineers Inc. 2015 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953266839&doi=10.1109%2fEMBC.2015.7318440&partnerID=40&md5=523f700176e95fd8aaf2dbda7b416a21 Hyder, R. and Kamel, N. and Boon, T.T. and Reza, F. (2015) Mapping of language brain areas in patients with brain tumors. In: UNSPECIFIED. http://eprints.utp.edu.my/26195/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Language cortex in the human brain shows high variability among normal individuals and may exhibit a considerable shift from its original position due to tumor growth. Mapping the precise location of language areas is important before surgery to avoid postoperative language deficits. In this paper, the Magnetoencephalography (MEG) recording and the MRI scanning of six brain tumorous subjects are used to localize the language specific areas. MEG recordings were performed during two silent reading tasks; silent word reading and silent picture naming. MEG source imaging is performed using distributed source modeling technique called CLARA ('Classical LORETA Analysis Recursively Applied'). Estimated MEG sources are overlaid on individual MRI of each patient to improve interpretation of MEG source imaging results. The results show successful identification of the essential language areas and clear definition of the time course of neural activation connecting them. © 2015 IEEE.
format Conference or Workshop Item
author Hyder, R.
Kamel, N.
Boon, T.T.
Reza, F.
spellingShingle Hyder, R.
Kamel, N.
Boon, T.T.
Reza, F.
Mapping of language brain areas in patients with brain tumors
author_sort Hyder, R.
title Mapping of language brain areas in patients with brain tumors
title_short Mapping of language brain areas in patients with brain tumors
title_full Mapping of language brain areas in patients with brain tumors
title_fullStr Mapping of language brain areas in patients with brain tumors
title_full_unstemmed Mapping of language brain areas in patients with brain tumors
title_sort mapping of language brain areas in patients with brain tumors
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953266839&doi=10.1109%2fEMBC.2015.7318440&partnerID=40&md5=523f700176e95fd8aaf2dbda7b416a21
http://eprints.utp.edu.my/26195/
_version_ 1741197098485809152
score 11.62408

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