@inproceedings{6ccbf605ceeb40a6ae39990cafd857ca,
title = "fMRI activation patterns in an analytic reasoning task: Consistency with EEG source localization",
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.",
keywords = "Brodmann areas, Cognitive tasks, Data fusion, Electroencephalography (EEG), Functional Magnetic Resonance Imaging (fMRI), General Linear Model(GLM), Probabilistic Independent Component Analysis technique (PICA)",
author = "Bian Li and Vasanta, {Kalyana C.} and Michael O'Boyle and Baker, {Mary C.} and Brian Nutter and Sunanda Mitra",
year = "2010",
doi = "10.1117/12.845637",
language = "English",
isbn = "9780819480279",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2010 - Biomedical Applications in Molecular, Structural, and Functional Imaging",
note = "Medical Imaging 2010 - Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 14-02-2010 Through 16-02-2010",
}