Prediction of patient survival following postanoxic coma using EEG data and clinical features.

Electroencephalography (EEG) is an effective and non-invasive technique commonly used to monitor brain activity and assist in outcome prediction for comatose patients post cardiac arrest. EEG data may demonstrate patterns associated with poor neurological outcome for patients with hypoxic injury. Thus, both quantitative EEG (qEEG) and clinical data contain prognostic information for patient outcome.

Virtual Care for Neurological Practice.

The COVID-19 crisis has worsened the pre-existing barriers to accessing neurological specialist care in Low and middle income countries. Telemedicine has been available for well over 2 decades but has not been widely adopted in LMIC's due to issues around cost, feasibility, infrastructure and regulation. Virtual care is an offshoot of traditional telemedicine leveraging the widely available internet enabled devices to connect patients with their healthcare providers.

Relationship Between Near-Infrared Spectroscopy-Derived Cerebral Oxygenation and Delirium in Critically Ill Patients: A Systematic Review.

Background: A common neurological complication of critical illness is delirium, defined as an acute change in level of consciousness, with impaired attention and disorganized thinking. Patients with delirium have increased risk of long-term cognitive dysfunction and mortality. The cause is unknown, which limits our ability to design therapeutic interventions.