Conventional analysis of fMRI responses in neuroimaging experiments is typically voxel-wise, i.e. independent of spatial neighbourhood information. However, valid responses are likely to be spatially clustered and connected in 3D space. Identifying spatial relations is commonly considered a pre-processing step, isotropic Gaussian filtering for noise reduction for example. Current post-processing methods consider spatial information but not temporal information; once an activation map is obtained, voxels that do not have a sufficient number of spatial neighbors are simply removed. This paper describes how we have successfully incorporated fuzzy region growing into EvIdent®, an fMRI data analysis application. The method uses spatial-temporal information to enhance spatially connected temporally related activation regions.