By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Vandhana Narayanan ; Department of Biomedical engineering, Jerusalem College of engineering, Chennai, India ; B. Ragini

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 Modelling (DCM) is used to analyze the effective connectivity between the above specified regions of the brain.

Published in:

Biomedical Engineering (ICoBE), 2012 International Conference on

Date of Conference:

27-28 Feb. 2012