Bradley G. Karat

This paper introduces a surface-intrinsic framework for hippocampal unfolding that improves alignment accuracy and morphology preservation compared to volumetric methods.

The paper characterizes hippocampal subfield border variability using postmortem MRI and histology, finding consistent subfield appearance/disappearance orders and no clear diagnosis-related differences.

This study examines hippocampal macrostructure and microstructure changes in Alzheimer's Disease and MCI compared to healthy controls using ADNI data.

This study investigates age-related changes in hippocampal microstructure using diffusion MRI in children and adolescents, finding significant developmental changes in neurites, soma, and mean diffusivity.

HippoMaps provides a toolbox and data warehouse for mapping and analyzing hippocampal data across multiple modalities and scales.

This paper uses diffusion MRI and computational methods to map macro- and microstructural features of the human hippocampus, revealing distinct subfield characteristics and potential fiber pathway orientations.

The paper releases curated anatomical fiducial placements for MRI datasets to improve image registration quality control and registration accuracy.

HippUnfold is an automated BIDS-App for hippocampal unfolding and subfield segmentation using deep learning and topological constraints, enabling individual-specific morphometric analysis.