Paul M Vespa

This study identifies novel GFAP breakdown products and modifications in TBI patients, linking them to astrocyte pathology and clinical outcomes.

The paper introduces an AI framework to simulate and predict mechanisms of consciousness and disorders, validated with neurophysiological data.

This study identifies early functional connectivity changes in thalamic and hippocampal networks as biomarkers for epileptogenesis after traumatic brain injury.

This study evaluates denoising pipelines for resting-state fMRI in traumatic brain injury patients, finding that some strategies reduce noise effects better than others, though high-motion participants lead to data loss.

The paper identifies the edge-of-chaos critical point as the state of cortical dynamics during conscious states and shows it is disrupted during unconsciousness.

This study uses ex vivo diffusion MRI and histopathology to correlate tract disruptions with axonal injury in a TBI patient.

The paper investigates how subcortical brain damage, particularly in the thalamus, relates to functional outcome and cognitive impairment six months after traumatic brain injury.