Abstract
Voxel-based morphometry (VBM) is widely used in analyzing structural MRI. Recently, several studies employ longitudinal VBM to explore the longitudinal change of grey matter in various disease such as Alzheimer disease or schizophrenia. In performing longitudinal VBM one needs to consider how to preprocess the images and how to build the statistical model. In addition to that, several studies draw attention that different voxel dimension or upgrade of scanner software can result in the different preprocessed images. Longitudinal analysis is inevitable to unveil the mechanism of several diseases, so establishing standard method is needed.
