I've come across this issue in some tools in neuroimaging which allow you to make sub-voxel super-resolution volumetric inferences based on a trained model. Thi

I've come across this issue in some tools in neuroimaging which allow you to make sub-voxel super-resolution volumetric inferences based on a trained model. This is all fine and good if you experimetal population matches the training population, but that is rarely the case in disease/disorder/developmental neuroscience. If you cant see it in your data then its only possible if the assumptions hold.