Detection of cortical activation and effective connectivity using Dynamic Causal Modelling through functional magnetic resonance imaging

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Main Authors: Narayanan, Vandhana, B., Ragini
Other Authors: vandhana1505@gmail.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21337
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spelling my.unimap-213372012-10-11T05:09:22Z Detection of cortical activation and effective connectivity using Dynamic Causal Modelling through functional magnetic resonance imaging Narayanan, Vandhana B., Ragini vandhana1505@gmail.com ragini.0511@gmail.com Blood oxygenation level-dependent (BOLD) signal Modelling Effective connectivity functional MRI Motorcortex imaging Region–specific activations Link to publisher's homepage at http://ieeexplore.ieee.org/ Functional magnetic resonance imaging is an improved method for observing correlates of neural brain activity at high spatial resolution in human subjects. This technique is used for determining the specific regions of activation in the brain’s cortical areas while the subject performs a pre designed motor task. Localized changes in cortical blood oxygenation during voluntary fist movements are modeled in a statistical framework such as general linear model (GLM) to obtain statistical parametric maps that represent various neuronal activations in the brain. fMRI was performed during visually cued motor task on a healthy subject in a 3.0 T scanner using gradient echo planar imaging with a 60 s repetition time. Evaluation of fMRI data is performed using SPM and final results are used to determine effective connectivity within a bilateral network comprising M1, premotor cortex (PMC) and supplementary motor area (SMA). Dynamic Causal Modeling (DCM) is used to analyze the effective connectivity between the above specified regions of the brain. 2012-10-11T05:09:22Z 2012-10-11T05:09:22Z 2012-02-27 Working Paper p. 247-252 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179014 http://hdl.handle.net/123456789/21337 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Blood oxygenation level-dependent (BOLD) signal
Modelling
Effective connectivity functional MRI
Motorcortex imaging
Region–specific activations
spellingShingle Blood oxygenation level-dependent (BOLD) signal
Modelling
Effective connectivity functional MRI
Motorcortex imaging
Region–specific activations
Narayanan, Vandhana
B., Ragini
Detection of cortical activation and effective connectivity using Dynamic Causal Modelling through functional magnetic resonance imaging
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 vandhana1505@gmail.com
author_facet vandhana1505@gmail.com
Narayanan, Vandhana
B., Ragini
format Working Paper
author Narayanan, Vandhana
B., Ragini
author_sort Narayanan, Vandhana
title Detection of cortical activation and effective connectivity using Dynamic Causal Modelling through functional magnetic resonance imaging
title_short Detection of cortical activation and effective connectivity using Dynamic Causal Modelling through functional magnetic resonance imaging
title_full Detection of cortical activation and effective connectivity using Dynamic Causal Modelling through functional magnetic resonance imaging
title_fullStr Detection of cortical activation and effective connectivity using Dynamic Causal Modelling through functional magnetic resonance imaging
title_full_unstemmed Detection of cortical activation and effective connectivity using Dynamic Causal Modelling through functional magnetic resonance imaging
title_sort detection of cortical activation and effective connectivity using dynamic causal modelling through functional magnetic resonance imaging
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21337
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score 13.222552