Diffusion Tensor Imaging (DTI) studies are increasingly popular among clinicians and
researchers as they provide unique insights into brain network connectivity. However, in …

Obtaining reliable data and drawing meaningful and robust inferences from diffusion MRI
can be challenging and is subject to many pitfalls. The process of quantifying diffusion …

A comprehensive map of the structural connectome in the human brain has been a coveted
resource for understanding macroscopic brain networks. Here we report an expert-vetted …

There has been much recent interest in using magnetic resonance diffusion imaging to
provide information about anatomical connectivity in the brain, by measuring the anisotropic …

Brain registration to a stereotaxic atlas is an effective way to report anatomic locations of
interest and to perform anatomic quantification. However, existing stereotaxic atlases lack …

We present a high angular resolution brain atlas constructed by averaging 90 diffusion
spectrum imaging (DSI) datasets in the ICBM-152 space. The spatial normalization of the …

Both post-mortem and neuroimaging studies have contributed significantly to what we know
about the brain and schizophrenia. MRI studies of volumetric reduction in several brain …

In this paper, we present a novel deformable registration algorithm for diffusion tensor MR
images that enables explicit optimization of tensor reorientation. The optimization seeks a …

Registration of diffusion-weighted images is an important step in comparing white matter
fibre bundles across subjects, or in the same subject at different time points. Using diffusion …

The study is the first to analyze genetic and environmental factors that affect brain fiber
architecture and its genetic linkage with cognitive function. We assessed white matter …