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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 eng
dc.contributor.author Eichele, Tom eng
dc.contributor.author Calhoun, Vince D. eng
dc.contributor.author Adali, Tulay eng
dc.date.accessioned 2011-03-03T10:48:13Z
dc.date.available 2011-03-03T10:48:13Z
dc.date.issued 2011 eng
dc.identifier.citation Journal of Signal Processing Systems 1-18 en_US
dc.identifier.issn 1939-8018 eng
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 eng
dc.publisher Springer eng
dc.rights Attribution-NonCommercial CC BY-NC eng
dc.rights.uri http://creativecommons.org/licenses/by-nc/2.5/ eng
dc.subject Blind source separation eng
dc.subject Canonical correlation analysis eng
dc.subject fMRI eng
dc.subject Simulated driving eng
dc.subject Functional behavioral association eng
dc.title Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis eng
dc.type Peer reviewed eng
dc.type Journal article eng
dc.rights.holder Copyright The Author(s) 2011. This article is published with open access at Springerlink.com
dc.rights.holder The Author(s) 2011 eng
dc.type.version publishedVersion eng
bora.peerreviewed Peer reviewed eng
bora.cristinID 959549 eng
bibo.doi http://dx.doi.org/10.1007/s11265-010-0572-8 eng
dc.identifier.cristinID 959549 eng
dc.identifier.doi http://dx.doi.org/10.1007/s11265-010-0572-8


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