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ROC Analysis of Statistical Methods Used in Functional MRI: Individual Subjects
The complicated structure of fMRI signals and associated noise sources make it difficult to assess the validity of various steps involved in the statistical analysis of brain activation. Most methods used for fMRI analysis assume that observations are independent and that the noise can be treated as white gaussian noise. These assumptions are usually not true but it is difficult to assess how severely these assumptions are violated and what are their practical consequences. In this study adoi:10.1006/nimg.1999.0402 pmid:10075901 fatcat:sywk435d25e6tncpfx4pqad74q