This book, Andy’s Brain Book, is the ReadTheDocs companion to Andy’s Brain Blog. It is intended for fMRI beginners, with more advanced imaging techniques being added later on. If this is …

Aug 4, 2014 · In any case, DTI data takes some time to clean up before you can do any statistics on it. However, the preprocessing steps are relatively few, and are analogous to what is done …

MRtrix is a software package for analyzing diffusion data. One of the notable advantages of MRtrix over tensor-fitting techniques is their method of constrained spherical deconvolution, or …

Preprocessing removes sources of noise from the image, such as movement artifacts and other distortions.

A common use of DTI is to compare different populations, such as young and old, and to observe where fractional anisotropy (FA) differs between groups, possibly with the assumption that less …

Aug 4, 2014 · In any case, DTI data takes some time to clean up before you can do any statistics on it. However, the preprocessing steps are relatively few, and are analogous to what is done …

Jul 8, 2012 · Given a resting state fMRI dataset and a parcellated brain volume image in DTI space, please design an algorithm to measure the functional connectivity between those …

Aug 6, 2014 · Instead of going through each DTI analysis step individually, I've collated everything into a Youtube playlist down below.

Aug 6, 2014 · Instead of going through each DTI analysis step individually, I've collated everything into a Youtube playlist down below.

To run the command eddy, we will need to create two more files, in addition to what we have already generated. The first is a mask of the image that we will use with eddy, which should be …