Paper published in a book (Scientific congresses and symposiums)
Improvement of Flexible Design Matrix in Sparse Bayesian Learning for Multi Task fMRI Data Analysis
Shahin, Safoura; Shayegh, Farzaneh; Mortaheb, Sepehr et al.
2016In 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME)
Peer reviewed
 

Files


Full Text
AS5863584982712321516810168267_content_1.pdf
Publisher postprint (1.72 MB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
design matrix; general linear model (GLM); sparse Bayesian learning method
Abstract :
[en] Detecting the active regions of the brain during cognitive functions is one of the important problems in cognitive neuroscience and disorder diagnosis. One of the promising approaches to solve this problem is to use General Linear Model (GLM) in functional Magnetic Resonance Imaging (fMRI) data. The main difficulty of the GLM method is to determine a flexible design matrix to model mentioned problem appropriately. In this paper, an approach to the critical construction of a flexible design matrix for precise detection of active regions of the brain, according to response in synthetic fMRI data based on GLM is presented. Should the design matrix is accurate, the next detection algorithm can extract a correct response from a very low signal to noise ratio (SNR); therefore, the presented design matrix is flexible to eschew over fitting and capture unfamiliar slow drifts. Using a sparse Bayesian learning method, some specific regressors are selected for flexible design matrix. Results show clearly prominent performance of suggested algorithm rather than conventional t-test methods and other conventional Bayesian analysis of fMRI data.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Shahin, Safoura;  Isfahan University of Technology > Department of Electrical and Computer Engineering > Digital Signal Processing Research Lab.
Shayegh, Farzaneh;  Payam-Noor University > Department of Engineering
Mortaheb, Sepehr  ;  Isfahan University of Technology > Department of Electrical and Computer Engineering > Digital Signal Processing Research Lab.
Amirfattahi, Rassoul;  Isfahan University of Technology > Department of Electrical and Computer Engineering > Digital Signal Processing Research Lab.
Language :
English
Title :
Improvement of Flexible Design Matrix in Sparse Bayesian Learning for Multi Task fMRI Data Analysis
Publication date :
November 2016
Event name :
2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME)
Event date :
from 23-11-2016 to 25-11-2016
Main work title :
2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME)
Publisher :
IEEE, Tehran, Iran
Peer reviewed :
Peer reviewed
Available on ORBi :
since 07 January 2019

Statistics


Number of views
27 (2 by ULiège)
Number of downloads
0 (0 by ULiège)

Scopus citations®
 
3
Scopus citations®
without self-citations
3

Bibliography


Similar publications



Contact ORBi