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- W2000943005 abstract "To evaluate the performance of different contrast functions used in Independent Component Analysis (ICA) of functional magnetic resonance imaging (fMRI) data at low signal-to-noise ratio (SNR), present in fMRI paradigms such as resting-state acquisitions.Metrics were defined to estimate both the accuracy and robustness of contrast functions under varying source distributions. Simulations were performed to compare the performance of lower-order (such as ln cosh) to higher-order (such as kurtosis) contrast functions using Laplacian source distributions corrupted with Gaussian noise. The ln cosh and kurtosis contrast functions were also compared using resting-state fMRI data from 10 normal adult volunteers.Higher-order contrast functions provided superior performance compared to lower-order contrast functions in the evaluation of metrics and via the simulations in the presence of a significant amount of noise. The performance of kurtosis was not statistically significantly different from that of a theoretically optimized contrast function. The choice of contrast function was found to result in substantial (R < 0.9) differences in 40% of the components found from the resting-state fMRI data.The use of higher-order contrast functions, such as kurtosis, may provide superior performance in ICA analysis of fMRI data with low SNR." @default.
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- W2000943005 date "2009-01-01" @default.
- W2000943005 modified "2023-09-24" @default.
- W2000943005 title "Higher-order contrast functions improve performance of independent component analysis of fMRI data" @default.
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- W2000943005 doi "https://doi.org/10.1002/jmri.21621" @default.
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