A generalized regression model for region of interest analysis of fMRI data

► A generalized dispersion model is proposed to analyze fMRI count data. ► The effects of inappropriate statistical models are addressed through simulations. ► The new model is applied to a study regarding brain function in stroke patients. ► Significant activation differences are detected in a number of cortical regions. ► Our findings provide an improved functional neuroimaging data analysis protocol.