A multivariate model for comparison of two datasets and its application to FMRI analysis

Yi Ou Li; Tülay Adali; Vince D. Calhoun

doi:10.1109/MLSP.2007.4414309

A multivariate model for comparison of two datasets and its application to FMRI analysis

Yi Ou Li, Tülay Adali, Vince D. Calhoun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this work, we propose a structured approach to compare common and distinct features of two multidimensional datasets using a combination of canonical correlation analysis (CCA) and independent component analysis (TCA). We develop formulations of information theoretic criteria to determine the dimension of the subspaces for common and distinct features of the two datasets. We apply the proposed method to a simulated dataset to demonstrate that it improves the estimation of both common and distinct features when compared to performing ICA on the concatenation of two datasets. We also apply the method to compare brain activation in functional magnetic resonance imaging (fMRI) data acquired during a simulated driving experiment and observe distinctions between the driving and watching conditions revealed in relevant brain function studies.

Original language	English (US)
Title of host publication	Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP
Pages	217-222
Number of pages	6
DOIs	https://doi.org/10.1109/MLSP.2007.4414309
State	Published - Dec 1 2007
Externally published	Yes
Event	17th IEEE International Workshop on Machine Learning for Signal Processing, MLSP-2007 - Thessaloniki, Greece Duration: Aug 27 2007 → Aug 29 2007

Publication series

Name	Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP

Other

Other	17th IEEE International Workshop on Machine Learning for Signal Processing, MLSP-2007
Country	Greece
City	Thessaloniki
Period	8/27/07 → 8/29/07

ASJC Scopus subject areas

Computer Science(all)
Signal Processing

Access to Document

10.1109/MLSP.2007.4414309

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Li, Y. O., Adali, T., & Calhoun, V. D. (2007). A multivariate model for comparison of two datasets and its application to FMRI analysis. In Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP (pp. 217-222). [4414309] (Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP). https://doi.org/10.1109/MLSP.2007.4414309

A multivariate model for comparison of two datasets and its application to FMRI analysis. / Li, Yi Ou; Adali, Tülay; Calhoun, Vince D.

Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. 2007. p. 217-222 4414309 (Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, YO, Adali, T & Calhoun, VD 2007, A multivariate model for comparison of two datasets and its application to FMRI analysis. in Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP., 4414309, Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP, pp. 217-222, 17th IEEE International Workshop on Machine Learning for Signal Processing, MLSP-2007, Thessaloniki, Greece, 8/27/07. https://doi.org/10.1109/MLSP.2007.4414309

Li YO, Adali T, Calhoun VD. A multivariate model for comparison of two datasets and its application to FMRI analysis. In Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. 2007. p. 217-222. 4414309. (Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP). https://doi.org/10.1109/MLSP.2007.4414309

Li, Yi Ou ; Adali, Tülay ; Calhoun, Vince D. / A multivariate model for comparison of two datasets and its application to FMRI analysis. Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP. 2007. pp. 217-222 (Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP).

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