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Emery N Brown

Emery N Brown

· Associate Director IMES/Taplin Professor

Massachusetts Institute of Technology · Psychology

Active 1988–2026

h-index162
Citations96.0k
Papers1.3k275 last 5y
Funding$50.2M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Emery N. Brown is the Edward Hood Professor of Medical Engineering and Computational Neuroscience at the Massachusetts Institute of Technology (MIT), the Warren M. Zapol Professor of Anaesthesia at Harvard Medical School, and a practicing anesthesiologist at Massachusetts General Hospital. He holds a B.A. in Applied Mathematics from Harvard College, an M.A. and Ph.D. in statistics from Harvard University, and an M.D. from Harvard Medical School. Dr. Brown is an anesthesiologist-statistician whose experimental research has significantly contributed to understanding how anesthetics act in the brain to induce general anesthesia. His work involves developing signal processing algorithms to analyze neuroscience data, characterizing neural representations during learning, and understanding the neurophysiological mechanisms underlying anesthesia. His research employs systems neuroscience approaches using fMRI, EEG, neurophysiological recordings, and mathematical modeling in interdisciplinary collaborations. Dr. Brown's long-term goal is to establish a neurophysiological definition of anesthesia, develop safer anesthetic drugs, and improve methods for measuring anesthesia depth. He has served on various NIH and NSF advisory committees and is a member of prestigious organizations including the Institute of Medicine, the National Academy of Sciences, and the National Academy of Engineering.

Research topics

  • Psychology
  • Neuroscience
  • Medicine
  • Computer Science
  • Internal medicine
  • Anesthesia
  • Sociology
  • Political Science
  • Biology
  • Acoustics

Selected publications

  • Neural effects of propofol-induced unconsciousness and its reversal using thalamic stimulation

    eLife · 2021 · 169 citations

    The specific circuit mechanisms through which anesthetics induce unconsciousness have not been completely characterized. We recorded neural activity from the frontal, parietal, and temporal cortices and thalamus while maintaining unconsciousness in non-human primates (NHPs) with the anesthetic propofol. Unconsciousness was marked by slow frequency (~1 Hz) oscillations in local field potentials, entrainment of local spiking to Up states alternating with Down states of little or no spiking activit…

  • Low Frontal Alpha Power Is Associated With the Propensity for Burst Suppression: An Electroencephalogram Phenotype for a “Vulnerable Brain”

    Anesthesia & Analgesia · 2020 · 108 citations

    BACKGROUND: A number of recent studies have reported an association between intraoperative burst suppression and postoperative delirium. These studies suggest that anesthesia-induced burst suppression may be an indicator of underlying brain vulnerability. A prominent feature of electroencephalogram (EEG) under propofol and sevoflurane anesthesia is the frontal alpha oscillation. This frontal alpha oscillation is known to decline significantly during aging and is generated by prefrontal brain reg…

  • Professional actors demonstrate variability, not stereotypical expressions, when portraying emotional states in photographs

    Nature Communications · 2021 · 73 citations

    It is long hypothesized that there is a reliable, specific mapping between certain emotional states and the facial movements that express those states. This hypothesis is often tested by asking untrained participants to pose the facial movements they believe they use to express emotions during generic scenarios. Here, we test this hypothesis using, as stimuli, photographs of facial configurations posed by professional actors in response to contextually-rich scenarios. The scenarios portrayed in…

  • Propofol disrupts alpha dynamics in functionally distinct thalamocortical networks during loss of consciousness

    Proceedings of the National Academy of Sciences · 2023 · 52 citations

    During propofol-induced general anesthesia, alpha rhythms measured using electroencephalography undergo a striking shift from posterior to anterior, termed anteriorization, where the ubiquitous waking alpha is lost and a frontal alpha emerges. The functional significance of alpha anteriorization and the precise brain regions contributing to the phenomenon are a mystery. While posterior alpha is thought to be generated by thalamocortical circuits connecting nuclei of the sensory thalamus with the…

  • Deep brain stimulation in the subthalamic nucleus for Parkinson’s disease can restore dynamics of striatal networks

    Proceedings of the National Academy of Sciences · 2022 · 48 citations

    Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is highly effective in alleviating movement disability in patients with Parkinson’s disease (PD). However, its therapeutic mechanism of action is unknown. The healthy striatum exhibits rich dynamics resulting from an interaction of beta, gamma, and theta oscillations. These rhythms are essential to selection and execution of motor programs, and their loss or exaggeration due to dopamine (DA) depletion in PD is a major source of behavi…

Recent grants

Frequent coauthors

  • Patrick L. Purdon

    Stanford University

    531 shared
  • Riccardo Barbieri

    Politecnico di Milano

    365 shared
  • Zhe Chen

    Guilin University of Electronic Technology

    224 shared
  • Oluwaseun Akeju

    Boston University

    186 shared
  • Brian L. Edlow

    Massachusetts General Hospital

    175 shared
  • Ken Solt

    Massachusetts General Hospital

    167 shared
  • Yelena G. Bodien

    136 shared
  • Wasim Q. Malik

    124 shared

Labs

Awards & honors

  • NIH Director’s Pioneer Award
  • NIH Director’s Transformative Research Award
  • 2011 Jerome Sacks Award for Outstanding Cross Disciplinary R…
  • Fellow of the American Institute for Medical and Biological…
  • Fellow of the American Statistical Association

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