School of Medicine
Showing 11-14 of 14 Results
Karen G. Hirsch, MD
Associate Professor of Neurology and, by courtesy, of Neurosurgery at the Stanford University Medical Center
Current Research and Scholarly Interests Dr. Karen G. Hirsch cares for critically ill patients with neurologic disorders in the intensive care unit and for patients with cerebrovascular disease in the inpatient stroke unit. Dr. Hirsch's research focuses on novel imaging techniques such as functional brain imaging in patients with cardiac arrest and traumatic brain injury. She also studies methods of non-invasive measurement of cerebral blood flow, oxygenation, and cerebrovascular autoregulation and how these parameters might be targeted to improve outcome in patients with neurologic injury. In the outpatient clinic, she sees patients with head injury, stroke and other neurovascular diseases in addition to patients who have been discharged from the neurological intensive care unit.
Professor (Clinical) of Neurology and Neurological Sciences, Emeritus
Current Research and Scholarly Interests The response and recovery of human visual cortex, oculomotor systems and related cognitive functions after acquired neurological disorders is a main area of interest.
Associate Professor (Research) of Neurology
Current Research and Scholarly Interests We study the role of oxygen free radicals in oxidative tissue damage and degeneration. Our research tools include transgenic and knockout mice and tissue culture cells for in vitro gene expression.
Professor of Neurology and, by courtesy, of Molecular and Cellular Physiology
Current Research and Scholarly Interests We are interested in the neuronal mechanisms that underlie synchronous oscillatory activity in the thalamus, cortex and the massively interconnected thalamocortical system. Such oscillations are related to cognitive processes, normal sleep activities and certain forms of epilepsy. Our approach is an analysis of the discrete components (cells, synapses, microcircuits) that make up thalamic and cortical circuits, and reconstitution of components into in silico computational networks.