Yelena G. Bodien

The paper maps brainstem connections sustaining wakefulness using ex vivo diffusion MRI, immunohistochemistry, and in vivo 7 Tesla functional MRI.

This study evaluates the feasibility of using cardiorespiratory data to correct noise in rs-fMRI of critically ill TBI patients, finding limited utility due to data quality issues.

This paper develops a continuous resting-state EEG model to predict recovery from disorders of consciousness after acute brain injury, achieving high accuracy across multiple time horizons.

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

This study validates a Russian adaptation of the Coma Recovery Scale-Revised (CRS-R) in patients with chronic disorders of consciousness, showing good reliability, validity, and sensitivity for assessing recovery.