Higher-order contrast functions improve performance of independent component analysis of fMRI data
نویسندگان
چکیده
منابع مشابه
Independent Component Analysis of fMRI Data
Techniques employed to analyze functional magnetic resonance imaging (fMRI) data typically use some form of univariate data analysis to determine regions of task-related activity. Changes in blood oxygen level dependent (BOLD) signal at each voxel can successfully be analyzed using univariate techniques. This type of analysis can identify voxels where the BOLD signal changes are significantly c...
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Independent component analysis (ICA) has been successfully utilized for analysis of functional MRI (fMRI) data for task related as well as resting state studies. Although it holds the promise of becoming an unbiased data-driven analysis technique, a few choices have to be made prior to performing ICA, selection of a method for determining the number of independent components (nIC) being one of ...
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In independent component analysis (ICA), it is assumed that the components of the observed k-dimensional random vector x = (x1, . . . , xk) are linear combinations of the components of a latent k-vector s = (s1, . . . , sk) such that s1, . . . , sk are mutually independent. This is denoted by x = As, (1) where A is a k× k full-rank non-random mixing matrix. The main objective then is to extract...
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In BOLD fMRI a series of MR images is acquired and examined for task-related amplitude changes. These functional changes are small, so it is important to maximize detection efficiency. Virtually all fMRI processing strategies utilize magnitude information and ignore the phase, resulting in an unnecessary loss of efficiency. As the optimum way to model the phase information is not clear, a flexi...
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Independent component analysis (ICA), which separates fMRI data into spatially independent patterns of activity, has recently been shown to be a suitable method for exploratory fMRI analysis. The validity of the assumptions of ICA, mainly that the underlying components are spatially independent and add linearly, was explored with a representative fMRI data set by calculating the log-likelihood ...
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ژورنال
عنوان ژورنال: Journal of Magnetic Resonance Imaging
سال: 2009
ISSN: 1053-1807,1522-2586
DOI: 10.1002/jmri.21621