fmristats.github.io - Modelling the data and not the images in FMRI — fmristats 0.1.0 documentation

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This is the first statistical software tool which implements the model based (MB) estimator for functional magnetic resonance imaging (FMRI) data models. It is a new and original method for the statistical analysis of FMRI of brain scans. MB estimation combines all preprocessing steps of standard approaches into one modelling step. Without altering the original 4D-image, the method results in smooth fits of the underlying parameter fields. More importantly, the method yields a trustworthy estimate of the un

Current approaches to the analysis of FMRI data apply various preprocessing steps to the original FMRI. These preprocessings lead to a general underestimation of residual variance in the downstream analysis. This negatively impacts the type I error of statistical tests and increases the risk for reporting false positive results.

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