Statistical analysis and Modeling of Functional MRI Data

A major goal of functional mri measurements is the localization of the neural correlates of sensory, motor, and cognitive functions and to compare brain activation responses between treatment groups. This includes the proper comparison of response amplitudes in brain areas with respect to various experimental conditions. In order to reach solid conclusions about the localization and functional properties of specialized brain areas, a number of analysis steps need to be performed. These analysis steps include preprocessing operations to reduce imaging artifacts and noise components, alignment of functional and anatomical data sets, and inferential statistics. In order to efficiently generalize statistical analyses to the population level, corresponding brain regions need to be identified across individuals. Furthermore, proper steps need to be performed to correct for massive multiple testing when using univariate (voxel-wise) statistical approaches for whole-brain analyses.keywordsordinary little squareserial correlationanterior commissuregeneralize little squarepredictor timethese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.