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A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS

Abstract: 

Canonical correlation analysis (CCA) is a data-driven method that has been successfully used in functional magnetic resonance imaging (fMRI) data analysis. Standard CCA extracts meaningful information from a data set by seeking pairs of linear combinations from two sets of variables with maximum pairwise correlation. So far, however, this method has been used without incorporating prior information available for fMRI data. In this paper, we address this issue by proposing a new CCA method named PCCA (for projection CCA). PCCA is obtained by using the discrete cosine transform (DCT) to create a basis for a span that better characterizes the fMRI data set. Employing DCT guides the estimated canonical variates, yielding a more computationally efficient CCA procedure. The proposed method can be seen as a regularized CCA method where regularization is introduced via basis expansion. The advantages of the proposed PCCA algorithm over the standard CCA are illustrated on both simulated data and real fMRI data from a resting state experiment.

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Paper Details

Authors:
Muhammad Ali Qadar and Abd-Krim Seghouane
Submitted On:
6 October 2018 - 1:34pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Muhammad Ali Qadar
Paper Code:
1929
Document Year:
2018
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Document Files

Final_2018_ICIP_Poster_PCCA.pdf

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[1] Muhammad Ali Qadar and Abd-Krim Seghouane, "A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3487. Accessed: Apr. 25, 2019.
@article{3487-18,
url = {http://sigport.org/3487},
author = {Muhammad Ali Qadar and Abd-Krim Seghouane },
publisher = {IEEE SigPort},
title = {A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS},
year = {2018} }
TY - EJOUR
T1 - A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS
AU - Muhammad Ali Qadar and Abd-Krim Seghouane
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3487
ER -
Muhammad Ali Qadar and Abd-Krim Seghouane. (2018). A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS. IEEE SigPort. http://sigport.org/3487
Muhammad Ali Qadar and Abd-Krim Seghouane, 2018. A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS. Available at: http://sigport.org/3487.
Muhammad Ali Qadar and Abd-Krim Seghouane. (2018). "A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS." Web.
1. Muhammad Ali Qadar and Abd-Krim Seghouane. A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3487