introduction: voxel based morphometry is a type of statistical parametric mapping that can be used to investigate the effect of diseases such as epilepsy, alzheimer's disease and parkinson's disease or other agent such as skills on brain structure (white matter, gray matter and cerebrospinal fluid). the aim of this study is evaluate the effectiveness of this method in detection of dif...

Introduction: Voxel based morphometry is a type of statistical parametric mapping that can be used to investigate the effect of diseases such as epilepsy, Alzheimer's disease and Parkinson's disease or other agent such as skills on brain structure (white matter, gray matter and cerebrospinal fluid). The aim of this study is evaluate the effectiveness of this method in detection of differen...

The human brain is in a state of constant change and adaptation. This may be driven either by normal developmental or aging processes or by the effects of learning, training, and new occurrences in daily life. In addition to these aforementioned changes, more systematic influences such as gender, disease, and genes affect the brain’s structure. Using magnetic resonance imaging, brain changes an...

The effect of T1 signal on FSL voxel-based morphometry modulated GM density and FreeSurfer cortical thickness is explored. The techniques rely on different analyses, but both are commonly used to detect spatial changes in GM. Standard pipelines show FSL voxel-based morphometry is sensitive to T1 signal alterations within a physiologic range, and results can appear discordant between FSL voxel-b...

An underlying assumption of the above parametric approach is that the process is a = Gaussian field, i.e., its statistical characteristics, including its roughness parameter (or its reciprocal, the smoothness ) ), are the same at each point in the image. The FWHM of the process should be constant in all directions and across all voxels in the image. While these assumptions are reasonable for fu...