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Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction

Functional neuroimaging modalities play an important role in deciding the diagnosis and course of treatment of neuronal dysfunction and degeneration. This article presents an analytical tool with visualization by exploiting the strengths of the MEG (magnetoencephalographic) neuroimaging technique. T...

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Main Authors: Rasheed, W., Neoh, Y.Y., Bin Hamid, N.H., Reza, F., Idris, Z., Tang, T.B.
Format: Article
Published: Elsevier Ltd 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019644046&doi=10.1016%2fj.compbiomed.2017.05.005&partnerID=40&md5=b37a065bb02a9a8aa0e7c1e572a8be8e
http://eprints.utp.edu.my/19347/
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spelling my.utp.eprints.193472018-04-20T00:20:53Z Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction Rasheed, W. Neoh, Y.Y. Bin Hamid, N.H. Reza, F. Idris, Z. Tang, T.B. Functional neuroimaging modalities play an important role in deciding the diagnosis and course of treatment of neuronal dysfunction and degeneration. This article presents an analytical tool with visualization by exploiting the strengths of the MEG (magnetoencephalographic) neuroimaging technique. The tool automates MEG data import (in tSSS format), channel information extraction, time/frequency decomposition, and circular graph visualization (connectogram) for simple result inspection. For advanced users, the tool also provides magnitude squared coherence (MSC) values allowing personalized threshold levels, and the computation of default model from MEG data of control population. Default model obtained from healthy population data serves as a useful benchmark to diagnose and monitor neuronal recovery during treatment. The proposed tool further provides optional labels with international 10-10 system nomenclature in order to facilitate comparison studies with EEG (electroencephalography) sensor space. Potential applications in epilepsy and traumatic brain injury studies are also discussed. © 2017 Elsevier Ltd Elsevier Ltd 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019644046&doi=10.1016%2fj.compbiomed.2017.05.005&partnerID=40&md5=b37a065bb02a9a8aa0e7c1e572a8be8e Rasheed, W. and Neoh, Y.Y. and Bin Hamid, N.H. and Reza, F. and Idris, Z. and Tang, T.B. (2017) Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction. Computers in Biology and Medicine, 89 . pp. 573-583. http://eprints.utp.edu.my/19347/
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 Functional neuroimaging modalities play an important role in deciding the diagnosis and course of treatment of neuronal dysfunction and degeneration. This article presents an analytical tool with visualization by exploiting the strengths of the MEG (magnetoencephalographic) neuroimaging technique. The tool automates MEG data import (in tSSS format), channel information extraction, time/frequency decomposition, and circular graph visualization (connectogram) for simple result inspection. For advanced users, the tool also provides magnitude squared coherence (MSC) values allowing personalized threshold levels, and the computation of default model from MEG data of control population. Default model obtained from healthy population data serves as a useful benchmark to diagnose and monitor neuronal recovery during treatment. The proposed tool further provides optional labels with international 10-10 system nomenclature in order to facilitate comparison studies with EEG (electroencephalography) sensor space. Potential applications in epilepsy and traumatic brain injury studies are also discussed. © 2017 Elsevier Ltd
format Article
author Rasheed, W.
Neoh, Y.Y.
Bin Hamid, N.H.
Reza, F.
Idris, Z.
Tang, T.B.
spellingShingle Rasheed, W.
Neoh, Y.Y.
Bin Hamid, N.H.
Reza, F.
Idris, Z.
Tang, T.B.
Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction
author_facet Rasheed, W.
Neoh, Y.Y.
Bin Hamid, N.H.
Reza, F.
Idris, Z.
Tang, T.B.
author_sort Rasheed, W.
title Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction
title_short Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction
title_full Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction
title_fullStr Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction
title_full_unstemmed Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction
title_sort early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction
publisher Elsevier Ltd
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019644046&doi=10.1016%2fj.compbiomed.2017.05.005&partnerID=40&md5=b37a065bb02a9a8aa0e7c1e572a8be8e
http://eprints.utp.edu.my/19347/
_version_ 1738656057224331264
score 13.211869

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