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Proceedings Paper

fMRI activation patterns in an analytic reasoning task: consistency with EEG source localization
Author(s): Bian Li; Kalyana C. Vasanta; Michael O'Boyle; Mary C. Baker; Brian Nutter; Sunanda Mitra
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Paper Abstract

Functional magnetic resonance imaging (fMRI) is used to model brain activation patterns associated with various perceptual and cognitive processes as reflected by the hemodynamic (BOLD) response. While many sensory and motor tasks are associated with relatively simple activation patterns in localized regions, higher-order cognitive tasks may produce activity in many different brain areas involving complex neural circuitry. We applied a recently proposed probabilistic independent component analysis technique (PICA) to determine the true dimensionality of the fMRI data and used EEG localization to identify the common activated patterns (mapped as Brodmann areas) associated with a complex cognitive task like analytic reasoning. Our preliminary study suggests that a hybrid GLM/PICA analysis may reveal additional regions of activation (beyond simple GLM) that are consistent with electroencephalography (EEG) source localization patterns.

Paper Details

Date Published: 9 March 2010
PDF: 9 pages
Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 76261T (9 March 2010); doi: 10.1117/12.845637
Show Author Affiliations
Bian Li, Texas Tech Univ. (United States)
Kalyana C. Vasanta, Texas Tech Univ. (United States)
Michael O'Boyle, Texas Tech Univ. (United States)
Mary C. Baker, Texas Tech Univ. (United States)
Brian Nutter, Texas Tech Univ. (United States)
Sunanda Mitra, Texas Tech Univ. (United States)

Published in SPIE Proceedings Vol. 7626:
Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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