Emery N. Brown – Deciphering the dynamics of the unconscious brain under general anesthesia
Talk details
- Date: 21 January 2024
- 1 p.m. (ET)
- Location: Zoom
- Video recording
Talk abstract
From the speaker:
“General anesthesia is a drug-induced, reversible condition comprised of five behavioral states: unconsciousness, amnesia (loss of memory), antinociception (loss of pain sensation), akinesia (immobility), and hemodynamic stability with control of the stress response. Our work shows that a primary mechanism through which anesthetics create these altered states of arousal is by initiating and maintaining highly structured oscillations. These oscillations impair communication among brain regions. We illustrate this effect by presenting findings from our human and non-human primate studies using high-density EEG recordings and intracranial recordings. These studies have allowed us to give a detailed characterization of the neurophysiology of loss and recovery of consciousness due to propofol, and more recently ketamine. We show how these dynamics change systematically with different anesthetic classes and with age. As a consequence, we have developed a principled, neuroscience-based paradigm for using the EEG to monitor the brain states of patients receiving general anesthesia. We demonstrate that the state of general anesthesia can be rapidly reversed by activating specific brain circuits. Finally, we demonstrate that the state of general anesthesia can be controlled using closed-loop feedback control systems. The success of our research has depended critically on tight coupling of experiments, signal processing research and mathematical modeling.”
Presenter
Emery N. Brown
Emery N. Brown is the Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience at the Massachusetts Institute of Technology (MIT); the Warren M. Zapol Professor of Anesthesia at Harvard Medical School; and an anesthesiologist at Massachusetts General Hospital (MGH).
He received his bachelor’s degree in Applied Mathematics (magna cum laude) from Harvard College, his master’s degree and PhD in statistics from Harvard University and his doctor of medicine degree (magna cum laude) from Harvard Medical School. Brown completed his internship in internal medicine at the Brigham and Women’s Hospital and his anesthesiology residency at MGH.
Brown is an anesthesiologist-statistician whose research is defining the neuroscience of how anesthetics produce the states of general anesthesia. He also develops statistical methods for neuroscience data analysis.
Brown is a fellow of the IEEE, the American Association for the Advancement of Science, the American Academy of Arts Sciences, and the National Academy of Inventors. He is a member of the National Academy of Medicine, National Academy of Sciences, the National Academy of Engineering and the American Philosophical Society.
Brown has received an NIH Director’s Pioneer Award, an NIH Director’s Transformative Research Award, the Sacks Prize from the National Institute of Statistical Science, a Guggenheim Fellowship in Applied Mathematics, the American Society of Anesthesiologists Excellence in Research Award, the Dickson Prize in Science, the Swartz Prize for Theoretical and Computational Neuroscience, the Pierre Galletti Award, the Gruber Prize in Neuroscience, and Doctors of Science Honoris Causa from the University of Southern California and SUNY Downstate.