David James Sharp

This paper develops a biomechanical model of the brain to show that ventricular enlargement in iNPH causes mechanical strain in white matter, contributing to brain damage.

PARS automates the creation of subject-specific finite element head models from MRI, achieving high mesh quality and reducing manual effort in brain computational modeling.

This paper identifies universal dynamic routing modes in human cortical activity that are consistent across individuals and brain states, and links their disruption to Alzheimer's disease.

This study uses high-dimensional proteomic analysis to identify TBI-specific plasma protein changes linked to injury patterns and pathophysiology in humans.

The paper identifies neurons as signal mixers that generate new oscillation frequencies, showing their role in cognitive functions and brain disorders.

This study examines electrophysiological and histopathological changes in a rat model of mild blast-induced TBI, finding increased gamma connectivity, EEG power, and reduced GABA interneuron density.

The paper investigates whether pre-stimulus brain oscillation phases causally influence sensory perception and finds that spurious correlations arise from acausal analyses rather than true causal links.

This study identifies brain networks involved in vestibular self-motion perception by analyzing rsfMRI data from TBI patients with and without vestibular agnosia.

The paper introduces a U-Net model to estimate local brain-age from MRI scans, showing improved accuracy in specific brain regions and detecting age-related differences in neurological conditions.

This study examines how white matter structure and brain state interact to influence tDCS-induced changes in brain network activity in healthy and TBI participants.

This study shows that transcranial direct current stimulation of the right inferior frontal gyrus modulates brain networks differently based on brain state and polarity.