Cart (Loading....) | Create Account
Close category search window

Temporal correlation compensation (whitening) of the fMRI data using Akaike Information Criterion

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
$31 $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)
Maximiano, R. ; Inst. de Sist. e Robot., Inst. Super. Tecnico, Lisbon, Portugal ; Sanches, J.

This work concerns the noise present in BOLD-fMRI (Blood-Oxygen-Level-Dependent: functional Magnetic Resonance Imaging, a technique that evaluates the levels of oxygen in the blood vessels of the brain. It is known that there is a temporal correlation present in the BOLD-fMRI's noise signal, complicating the estimation of the active regions of the brain due to an external stimulus. Using SPM-GLM methods (Statistical Parametric Mapping General Linear Methods), denoised signal and response coefficients from all voxels (Volume Element) are estimated. The comparison between both signals gives an approximation of its noise signal. Using Akaike Information Criterion, this technique estimates the best model's order to decorrelate the noise and pre-whiten. Moreover, this algorithm recalculates new unknown parameters until a minimum threshold is achieved. Final results obtained were analyzed and concluded to have less false-positives, allowing a better definition of the real active regions.

Published in:

Bioengineering (ENBENG), 2011. ENBENG 2011. 1st Portuguese Meeting in

Date of Conference:

1-4 March 2011

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.