International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Estimation of Brain Dynamic Interactions with Time-varying Vector Autoregressive Modeling using fMRI , Authors : Ngoc Dung Bui and Sellappan Palaniappan, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 3, Issue 5, September - October 2014

Title:
Estimation of Brain Dynamic Interactions with Time-varying Vector Autoregressive Modeling using fMRI
Author Name:
Ngoc Dung Bui and Sellappan Palaniappan
Abstract:
Abstract Analyzing the interaction among regions of the brain is an important step to understand the brain process. There have been many studies of directional effective influence between regions of the brain using fMRI. However, most of the previous studies are based on the assumption of time-invariant connectivity structure, which is insufficient to understand the change of the connectivity during cognitive tasks. In this paper, we propose a method of time-varying connectivity analysis using time-varying vector autoregressive model (tvVAR). The method allows the examination of the dynamic interactions among brain regions during cognitive tasks in the concept of Granger causality. The result of the simulation study indicates that this approach is effective to estimate the time-varying connectivity with short time intervals. Application of the method to real fMRI data was illustrated by the identification dynamic interactions among brain regions during simple sensory-motor task experiment. Keywords: expectation-maximization algorithm, interactions, Kalman filter, tvVAR.
Cite this article:
Ngoc Dung Bui and Sellappan Palaniappan , " Estimation of Brain Dynamic Interactions with Time-varying Vector Autoregressive Modeling using fMRI " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 3, Issue 5, September - October 2014 , pp. 083-087 , ISSN 2278-6856.
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