Integration of fMRI and probabilistic tractography for cerebral network analysis

We present a data acquisition and analysis methodology for generating anatomical connectivity matrices using fMRI and diffusion MRI tractography. We describe a protocol for distortion-free, high spatial resolution diffusion MRI suitable for probabilistic tractography in the presence of complex fibre architecture and distortion-free, geometrically-matched fMRI. We then demonstrate that probabilistic tractography may be initiated from a set of functionally-defined regions to generate a matrix representation of the anatomical substrate of functional networks