By Topic

A New Method for Detection of Active Brain Regions with Event-Related fMRI Time Series Analysis

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

4 Author(s)

Functional magnetic resonance imaging (fMRI) has been applied with several purposes in clinical environment as well as in basic neuroscience studies. The main purpose of fMRI is to map brain activity, which is achieved by applying statistical methods to time series of each voxel intensity, related to changes in blood oxygen level, in response to a short stimulus. In this work, we propose a new method for the analysis of event-related fMRI based in the use of the dynamic time warping technique to compare pixel intensity time series. The results show the ability to discriminate activated brain regions, when subjects were engaged in a motor task.

Published in:

Computer Graphics and Image Processing, 2007. SIBGRAPI 2007. XX Brazilian Symposium on

Date of Conference:

7-10 Oct. 2007