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Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis

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dc.contributor.author Li, Yi-Ou
dc.contributor.author Eichele, Tom
dc.contributor.author Calhoun, Vince D.
dc.contributor.author Adali, Tulay
dc.date.accessioned 2011-03-03T10:48:13Z
dc.date.available 2011-03-03T10:48:13Z
dc.date.issued 2011
dc.identifier.citation Journal of Signal Processing Systems 1-18 en_US
dc.identifier.issn 1939-8018
dc.identifier.uri http://dx.doi.org/10.1007/s11265-010-0572-8
dc.identifier.uri http://hdl.handle.net/1956/4547
dc.description.abstract In this work, we apply a novel statistical method, multiset canonical correlation analysis (M-CCA), to study a group of functional magnetic resonance imaging (fMRI) datasets acquired during simulated driving task. The M-CCA method jointly decomposes fMRI datasets from different subjects/sessions into brain activation maps and their associated time courses, such that the correlation in each group of estimated activation maps across datasets is maximized. Therefore, the functional activations across all datasets are extracted in the order of consistency across different dataset. On the other hand, M-CCA preserves the uniqueness of the functional maps estimated from each dataset by avoiding concatenation of different datasets in the analysis. Hence, the cross-dataset variation of the functional activations can be used to test the hypothesis of functional-behavioral association. In this work, we study 120 simulated driving fMRI datasets and identify parietal-occipital regions and frontal lobe as the most consistently engaged areas across all the subjects and sessions during simulated driving. The functional-behavioral association study indicates that all the estimated brain activations are significantly correlated with the steering operation during the driving task. M-CCA thus provides a new approach to investigate the complex relationship between the brain functions and multiple behavioral variables, especially in naturalistic tasks as demonstrated by the simulated driving study. en_US
dc.language.iso eng en_US
dc.publisher Springer en
dc.rights Copyright The Author(s) 2011. This article is published with open access at Springerlink.com en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc/2.5/ en_US
dc.subject Blind source separation en
dc.subject Canonical correlation analysis en
dc.subject fMRI en
dc.subject Simulated driving en
dc.subject Functional behavioral association en
dc.title Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis en_US
dc.type Peer reviewed en_US
dc.type Journal article en_US
dc.rightsHolder The Author(s) 2011 en_US
dc.type.version publishedVersion en_US
bora.cristinID 959549


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Copyright The Author(s) 2011. This article is published with open access at Springerlink.com Except where otherwise noted, this item's license is described as Copyright The Author(s) 2011. This article is published with open access at Springerlink.com

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