The primary aim of this research proposal is as follows: By collecting multimodal metrics (e.g., clinical factors, neuroimaging, and EEG) in the early phase of severe brain injury (i.e., during the acute hospitalization when a patient has impaired consciousness), and measuring the patients' recovery of consciousness, function, and quality of life in the late phase (at 3, 6, and 12 months following the brain injury), we aim to construct an algorithm that synthesizes the results of these metrics to help predict recovery.~There will also be secondary aims as follows:~To identify patient phenotypes with predictive significance, in order to revise our classification scheme for disorders of consciousness in a clinically meaningful and data driven manner.~To compare prognostic value between metrics.~To determine how the initial goals of care expressed in the acute setting (i.e., the expected quality of life associated with disability) compare to the actual quality of life in the chronic setting (i.e., the actual quality of life associated with disability).~To compare the prognostic value of metrics between different etiologies of brain injury.
By collecting multimodal metrics (e.g., clinical factors, neuroimaging, and EEG) in the early phase of severe brain injury (i.e., during the acute hospitalization when a patient has impaired consciousness), and measuring the patients' recovery of consciousness, function, and quality of life in the late phase (at 6 months following the brain injury), we aim to construct an algorithm that synthesizes the results of these metrics to help predict recovery.