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Threshold for computing generalized model of default mode network connectivity

Functional connectivity is becoming popular as a second opinion for neurosurgeons and specialists in order to decide on the need for surgical resection, or prescribing medication and appraise prognosis. Neuroimaging modalities such as fMRI, fNIRS, PET, and EEG provide functional connectivity estimat...

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Main Authors: Rasheed, W., Tang, T.B., Hamid, N.H.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011976634&doi=10.1109%2fICIAS.2016.7824139&partnerID=40&md5=fcd0607ad1070a5062c8d2ac4d561b2b
http://eprints.utp.edu.my/20180/
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spelling my.utp.eprints.201802018-04-22T14:44:41Z Threshold for computing generalized model of default mode network connectivity Rasheed, W. Tang, T.B. Hamid, N.H. Functional connectivity is becoming popular as a second opinion for neurosurgeons and specialists in order to decide on the need for surgical resection, or prescribing medication and appraise prognosis. Neuroimaging modalities such as fMRI, fNIRS, PET, and EEG provide functional connectivity estimation. MEG is the most recent trend in functional connectivity assessment research as it gives more accurate results. The magnetic signals are not disrupted by volume conduction, as in EEG. Besides a reasonable spatial resolution, it offers an extraordinary temporal resolution. However there is a need of a generalized model for default mode network connectivity using MEG. This paper presents a novel method for generating a generalized model and discusses significance of threshold levels in assessing synchronization of activity from various brain regions. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011976634&doi=10.1109%2fICIAS.2016.7824139&partnerID=40&md5=fcd0607ad1070a5062c8d2ac4d561b2b Rasheed, W. and Tang, T.B. and Hamid, N.H. (2017) Threshold for computing generalized model of default mode network connectivity. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20180/
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 connectivity is becoming popular as a second opinion for neurosurgeons and specialists in order to decide on the need for surgical resection, or prescribing medication and appraise prognosis. Neuroimaging modalities such as fMRI, fNIRS, PET, and EEG provide functional connectivity estimation. MEG is the most recent trend in functional connectivity assessment research as it gives more accurate results. The magnetic signals are not disrupted by volume conduction, as in EEG. Besides a reasonable spatial resolution, it offers an extraordinary temporal resolution. However there is a need of a generalized model for default mode network connectivity using MEG. This paper presents a novel method for generating a generalized model and discusses significance of threshold levels in assessing synchronization of activity from various brain regions. © 2016 IEEE.
format Article
author Rasheed, W.
Tang, T.B.
Hamid, N.H.
spellingShingle Rasheed, W.
Tang, T.B.
Hamid, N.H.
Threshold for computing generalized model of default mode network connectivity
author_facet Rasheed, W.
Tang, T.B.
Hamid, N.H.
author_sort Rasheed, W.
title Threshold for computing generalized model of default mode network connectivity
title_short Threshold for computing generalized model of default mode network connectivity
title_full Threshold for computing generalized model of default mode network connectivity
title_fullStr Threshold for computing generalized model of default mode network connectivity
title_full_unstemmed Threshold for computing generalized model of default mode network connectivity
title_sort threshold for computing generalized model of default mode network connectivity
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011976634&doi=10.1109%2fICIAS.2016.7824139&partnerID=40&md5=fcd0607ad1070a5062c8d2ac4d561b2b
http://eprints.utp.edu.my/20180/
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score 13.211869

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