Understanding current barriers to the management of seizures in the inpatient setting
Seizures, which are characterized by abnormal synchronous neural firing, may be difficult to diagnose as they are transient and may share characteristics similar to other episodic phenomena. Undiagnosed seizures may lead to poor patient outcomes. We are working to understand current practice patterns and identify areas for potential improvement.
Development and testing of automated EEG analysis tools.
EEG has been employed in the clinical setting for decades and automated tools are becoming more and more prevalent in this era of machine learning and artificial intelligence. However, despite the tremendous amount of work completed in this area, very few tools bridge the bench to the bedside. We hope to identify and overcome these hurdles by translating AI tools into the clinical sphere, aiming to measure significance through real-world clinical impact.
Identification of neurophysiologic and multimodal biomarkers in epilepsy and other disease states
There is a wealth of neurophysiologic data that remain unused, either because it isn't clear how they are related to disease processes or the clinical significance remains to be discovered. Many biomarkers, and how to interpret them, remain to be validated. Our lab actively collaborates with other investigators to assist with biomarker discover and validation.
