The ability of fiber tractography to delineate non‐invasively the white matter fiber pathways
of the brain raises possibilities for clinical applications and offers enormous potential for …

Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

Diffusion Weighted Images (DWI) normally shows a low Signal to Noise Ratio (SNR) due to
the presence of noise from the measurement process that complicates and biases the …

A thoroughly revised and updated edition of this introduction to modern statistical methods
for shape analysis Shape analysis is an important tool in the many disciplines where objects …

While traditional models of language comprehension have focused on the left posterior
temporal cortex as the neurological basis for language comprehension, lesion and …

The ability to learn language is a human trait. In adults and children, brain imaging studies
have shown that auditory language activates a bilateral frontotemporal network with a left …

The key component of a microstructural diffusion MRI 'super-scanner'is a dedicated high-
strength gradient system that enables stronger diffusion weightings per unit time compared …

In this work we present a new generalization of the geometric mean of positive numbers on
symmetric positive-definite matrices, called Log-Euclidean. The approach is based on two …

The statistical analysis of covariance matrix data is considered and, in particular,
methodology is discussed which takes into account the nonEuclidean nature of the space of …

Background and Purpose—Previous studies have shown motor impairment after a stroke
relates to lesion size and location, but unexplained variability in recovery still exists. In this …