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Bootstrapping of repeated diffusion-weighted image datasets enables nonparametric quantification of the uncertainty in the inferred fiber orientation. The wild bootstrap and the residual bootstrap are model-based residual resampling methods which use a single dataset. Previously, the wild bootstrap method has been presented as an alternative to conventional bootstrapping for diffusion tensor imaging...
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...
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