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Den Dekker, A.J. (author), Poot, D.H.J. (author), Bos, R. (author), Sijbers, J. (author)
Functional magnetic resonance imaging (fMRI) data that are corrupted by temporally colored noise are generally preprocessed (i.e., prewhitened or precolored) prior to functional activation detection. In this paper, we propose likelihood-based hypothesis tests that account for colored noise directly within the framework of functional activation...
journal article 2009
Sijbers, J. (author), Den Dekker, A.J. (author)
Functional magnetic resonance imaging (fMRI) intends to detect significant neural activity by means of statistical data processing. Commonly used statistical tests include the Student-t test, analysis of variance, and the generalized linear model test. A key assumption underlying these methods is that the data are Gaussian distributed. Moreover,...
conference paper 2004