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

Magnetic resonance imaging (MRI) is a non-invasive technique which can provide
comprehensive, multi-parametric information on brain anatomy, function and metabolism …

Constrained spherical deconvolution (CSD) has become one of the most widely used
methods to extract white matter (WM) fibre orientation information from diffusion-weighted …

This work describes a new diffusion MR framework for imaging and modeling of
microstructure that we call q-space trajectory imaging (QTI). The QTI framework consists of …

It has long been recognized that the diffusion tensor model is inappropriate to characterize
complex fiber architecture, causing tensor‐derived measures such as the primary …

In neuroscience, there is a growing consensus that higher cognitive functions may be
supported by distributed networks involving different cerebral regions, rather than by single …

The anisotropy of water diffusion in brain tissue is affected by both disease and
development. This change can be detected using diffusion MRI and is often quantified by the …

The acquisition of literacy results from an effortful learning process that leads to functional
changes in several cortical regions. We explored whether learning to read also leads to …

OBJECTIVE To examine whether type 2 diabetes is associated with microstructural
abnormalities in specific cerebral white matter tracts and to relate these microstructural …

The development of scanners with ultra-high gradient strength, spearheaded by the Human
Connectome Project, has led to dramatic improvements in the spatial, angular, and diffusion …