Emery N. Brown, M.D., Ph.D.
Warren M. Zapol Professor of Anaesthesia, Harvard Medical School, Department of Anesthesia and Critical Care, Massachusetts General Hospital
Professor of Computational Neuroscience, Department of Brain and Cognitive Sciences, MIT
Professor of Health Sciences and Technology, Harvard/MIT Division of Health Sciences and Technology, MIT
Neural Signal Processing Algorithms
Recent technological and experimental advances in the capabilities to record
signals from neural systems have led to an unprecedented increase in the types
and volume of data collected in neuroscience experiments and hence, in the need
for appropriate techniques to analyze them. Therefore, using combinations of
likelihood, Bayesian, state-space, time-series and point process approaches, a
primary focus of the research in my laboratory is the development of
statistical methods and signal-processing algorithms for neuroscience data
We have used our methods to:
Below are three animations showing decoding of a rat's position in its environment from simultaneously recorded spiking activity of CA1 place cell neurons in the animal's hippocampus.
Below are two animations that show tracking of the temporal evolution of a simulated and an actual CA1 place cell's receptive field using a point process adaptive filter algorithm with a Gaussian place field model and the assumption of inhomogeneous Poisson model for the neural spike trains.General anesthesia is a neurophysiological state in which a patient is rendered unconscious, insensitive to pain, amnestic, and immobile, while being maintained physiologically stable. General anesthesia has been administered in the U.S. for nearly 160 years and currently, more than 50,000 people receive anesthesia daily in this country for surgery alone. Still, the mechanism by which an anesthetic drug induces general anesthesia remains a medical mystery. A new research direction in my laboratory is to use a systems neuroscience approach to study how the state of general anesthesia is induced and maintained. To do so, we are using fMRI, EEG, neurophysiological recordings, microdialysis methods signal processing and mathematical modeling in interdisciplinary collaborations with investigators at Massachusetts General Hospital, the Harvard/MIT Division of Health Science and Technology, the Department of Brain and Cognitive Sciences at MIT, and Boston University. The long-term goal of this research is to establish a neurophysiological definition of anesthesia, safer, site-specific anesthetic drugs and to develop better neurophysiologically-based methods for measuring depth of anesthesia.
Phone: (617) 726-7487