Diffusion MRI (dMRI) has proven to be a useful imaging approach for both clinical diagnosis
and research investigating the microstructures of nervous tissues, and it has helped us to …

A major challenge in Parkinson's disease is the variability in symptoms and rates of
progression, underpinned by heterogeneity of pathological processes. Biomarkers are …

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 …

The incidence of neurodegenerative diseases has shown an increasing trend. These
conditions typically cause progressive functional disability. Identification of robust …

Neuroimaging biomarkers that can detect white matter (WM) pathology after mild traumatic
brain injury (mTBI) and predict long-term outcome are needed to improve care and develop …

In Alzheimer's disease (AD), neurodegenerative processes are ongoing for years prior to the
time that cortical atrophy can be reliably detected using conventional neuroimaging …

There has been an increasing prevalence of neurodegenerative diseases with the rapid
increase in aging societies worldwide. Biomarkers that can be used to detect pathological …

Neurite orientation dispersion and density imaging (NODDI) uses a three‐compartment
model to probe brain tissue microstructure, whereas free‐water (FW) imaging models two …

Alzheimer's disease (AD) is associated with extensive alterations in grey matter
microstructure, but our ability to quantify this in vivo is limited. Neurite orientation dispersion …

Diffusion tensor imaging (DTI) allows measuring fractional anisotropy and similar
microstructural indices of the brain white matter. Lower than normal fractional anisotropy as …