Samuel A. Hurley

This study investigates how L-DOPA-induced dyskinesia (LID) relates to microstructural changes in brain circuits, finding brainwide alterations beyond the nigrostriatal system.

The paper introduces STRATA, a machine learning framework that estimates cell type proportions from MRI data, validated across disease models and species.

This paper characterizes the anatomy of trigeminal nerve branches and uses computational models to show that superficial branches activate nociceptors more than nerve trunks, suggesting potential off-target effects.

This study uses diffusion imaging and tractography to analyze structural connectivity changes in a rat model of Parkinson's Disease, identifying lesion-specific and compensatory neural networks.

This paper develops a Kinetic Tensor model to correct T2 inhomogeneity in post-mortem brain imaging by accounting for fixative outflux, showing improved alignment with histological markers.

The paper compares population receptive field sizes for binocular disparity, contrast, and luminance stimuli in human visual areas V1 and LOC using fMRI, finding larger fields for disparity in V1.