Name
Title | ||
|---|---|---|
Improving functional connectivity detection in FMRI by combining sparse dictionary learning and canonical correlation analysis |
Abstract | ||
|---|---|---|
In this paper a novel framework that combines data-driven methods is proposed for functional connectivity analysis of functional magnetic resonance imaging (fMRI) data. The basic idea is to overcome the shortcomings of compressed sensing based data-driven method by incorporating canonical correlation analysis (CCA) to extract a more meaningful temporal profile that is based solely on underlying brain hemodynamics, which can be further investigated to detect functional connectivity using regression analysis. We apply our method on synthetic and task-related fMRI data to show that the combined framework which better adapts to individual variations of distinct activity patterns in the brain is an effective approach to reveal functionally connected brain regions. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISBI.2013.6556468 | Biomedical Imaging |
Keywords | Field | DocType |
biomedical MRI,brain,compressed sensing,correlation methods,feature extraction,functional analysis,haemodynamics,learning systems,medical image processing,regression analysis,CCA,brain hemodynamics,canonical correlation analysis,compressed sensing based data-driven method,distinct activity pattern,functional connectivity analysis,functional connectivity detection,functional magnetic resonance imaging data,functionally connected brain region,meaningful temporal profile extraction,regression analysis,sparse dictionary learning,synthetic fMRI data,task-related fMRI data,CCA,K-SVD,fMRI,functional connectivity,regression analysis,sparsity | Dictionary learning,Pattern recognition,Functional magnetic resonance imaging,Canonical correlation,Computer science,Regression analysis,Feature extraction,Speech recognition,Artificial intelligence,Compressed sensing | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4673-6456-0 | 12 |
PageRank | References | Authors |
0.72 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Usman Khalid | 1 | 31 | 3.22 |
| Abd-Krim Seghouane | 2 | 193 | 24.99 |