Hui Gary Zhang

Lifespan Normative Models of White Matter Fractional Anisotropy: Applications to Early Psychosis

This paper develops lifespan normative models of white matter fractional anisotropy using diffusion MRI data and applies them to identify white matter deviations in early psychosis.

Parsimonious EBM: generalising the event-based model of disease progression for simultaneous events

This paper introduces the parsimonious event-based model (P-EBM) to infer disease progression sequences with fewer stages than biomarkers, showing improved performance in Alzheimer's disease analysis.

Shaping the structural dynamics of motor learning through cueing during sleep

This study investigates how Targeted Memory Reactivation during sleep affects microstructural brain changes after motor learning, showing distinct neural reorganization patterns in motor-related areas.

Microstructural dynamics of motor learning and sleep-dependent consolidation: a diffusion imaging study

This study uses diffusion imaging to examine microstructural brain changes during motor learning and sleep consolidation, finding rapid learning-related changes but no clear sleep-dependent consolidation effects.

Sleep-dependent structural neuroplasticity after a spatial navigation task: A diffusion imaging study

This study investigates sleep-dependent structural neuroplasticity using diffusion imaging, finding rapid remodelling of neurites and glial cells after spatial navigation learning.

Correction of susceptibility distortion in EPI: a semi-supervised approach with deep learning.

This paper proposes a semi-supervised deep learning method to correct susceptibility distortion in EPI, showing improved performance and faster processing than existing approaches.

White matter microstructural abnormality precedes cortical volumetric decline in Alzheimer's disease: evidence from data-driven disease progression modelling

This study uses data-driven modeling to show that white matter microstructural changes precede cortical volume loss in Alzheimer's disease, suggesting earlier detection through microstructural markers.

Training Data Distribution Significantly Impacts the Estimation of Tissue Microstructure with Machine Learning

This paper shows that training data distribution affects the accuracy and precision of microstructural parameter estimates using supervised machine learning in quantitative MRI.

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge.

Ventralis intermedius nucleus anatomical variability assessment by MRI structural connectivity

This paper quantifies individual anatomical variability of the connectivity-defined ventralis intermedius nucleus (cd-Vim) using probabilistic tractography and finds it is more variable on the right and not influenced by methodological confounds.

Repeatability of soma and neurite metrics incortical and subcortical grey matter

This study assesses the repeatability of soma and neurite metrics in grey matter using diffusion MRI across five scans of six healthy adults, finding high reliability in key measures.

Diffusion Tensor Model links to Neurite Orientation Dispersion and Density Imaging at high b-value in Cerebral Cortical Gray Matter

The paper shows that high b-value diffusion tensor imaging (DTI) metrics are strongly associated with NODDI metrics in cortical gray matter, but low b-value DTI does not accurately reflect microstructure.

Abnormal microstructural development of the cerebral cortex in neonates with congenital heart disease is associated with impaired cerebral oxygen delivery

The paper investigates microstructural cortex development in neonates with congenital heart disease and finds impaired oxygen delivery correlates with abnormal microstructure.

Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank

The paper describes an automated processing and quality control pipeline for brain imaging data from the first 10,000 UK Biobank participants.