Faculty Profile

Emery N. Brown, MD, PhD

EmeryBrown 201808
Warren M. Zapol Professor of Anaesthesia, Harvard Medical School
Anesthetist, Department of Anesthesia, Massachusetts General Hospital
Co-Director, Harvard-MIT Division of Health Sciences and Technology

Administrative Title(s)

Director, Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital

Other Affiliation(s)

Professor of Computational Neuroscience
Professor of Health Sciences and Technology, Massachusetts Institute of Technology

See publications


Dept. of Anesthesia and Critical Care, Massachusetts General Hospital
55 Fruit Street, Gray-Bigelow 444
Boston, MA 02114

Phone 617-726-7487
Phone 617-324-1879
Fax 617-726-8410

Society Memberships

2019- Board of Trustees, Guggenheim Foundation
2018- Member, Biomedical Engineering Society
2018- Member, Florida Inventors Hall of Fame
2017- Fellow, American Institute for Medical and Biological Engineering (AIMBE)
2016- Fellow, Institute of Mathematical Statistics
2015- Member, National Academy of Inventors
2015- Member, National Academy of Engineering
2014- Member, National Academy of Sciences
2012-2016 Member, Institute of Mathematical Statistics
2012- Fellow, American Academy of Arts and Sciences
2008- Fellow, Institute of Electrical and Electronics Engineers (IEEE)
2007- Fellow, American Association for the Advancement of Science (AAAS)
2007- Member, National Academy of Medicine
2018- Member, Florida Inventors Hall of Fame
2017- Fellow, American Institute for Medical and Biological Engineering (AIMBE)
2016- Fellow, Institute of Mathematical Statistics
2015- Member, National Academy of Inventors
2015- Member, National Academy of Engineering
2014- Member, National Academy of Sciences
2012-2016 Member, Institute of Mathematical Statistics
2012- Fellow, American Academy of Arts and Sciences
2008- Fellow, Institute of Electrical and Electronics Engineers (IEEE)
2007- Fellow, American Association for the Advancement of Science (AAAS)
2007- Member, National Academy of Medicine
1992- Member, American Society of Anesthesiologists
1987-1992 Member, American Statistical Association
1986- Member, Massachusetts Medical Society
1985-1986 Member, Sleep Research Society
1984- Member, Biometrics Society

Research Unit(s)

Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital

Research Interests

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 analysis. We have used our methods to characterize:

  • how hippocampal neurons represent spatial information in their ensemble firing patterns
  • analyze formation of spatial receptive fields in the hippocampus during learning of novel environments
  • relate changes in hippocampal neural activity to changes in performance during procedural learning
  • improve signal extraction from fMR imaging time-series
  • construct algorithms for neural prosthetic control the spiking properties of neurons in primary motor cortex
  • localize dynamically sources of neural activity in the brain from EEG and MEG recordings made during cognitive, motor and somatosensory tasks
  • measure the period of the circadian pacemaker (human biological clock) and its sensitivity to light
  • characterize the dynamics of human heart beats in physiological and pathological states
  • track brain states under general anesthesia

Understanding General Anesthesia
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 100,000 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 and mathematical modeling in interdisciplinary collaborations with investigators in BCS, the MIT/Harvard Division of Health Science and Technology, Massachusetts General Hospital 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.

Dr. Brown served on the National Institutes of Health (NIH) BRAIN Initiative Working Group, and is currently a member of the NIH Council of Councils, the National Science Foundation Mathematics and Physical Sciences Advisory Committee, the Board of Directors of the Burroughs-Wellcome Fund, the Board of Trustees of the International Anesthesia Research Society and the Scientific Advisory Committee of CURE Epilepsy. Dr. Brown is the recipient of an NIH Director’s Pioneer Award, an NIH Director’s Transformative Research Award and the 2011 Jerome Sacks Award for Outstanding Cross Disciplinary Research from the National Institute of Statistical Science. He is a Fellow of the American Institute for Medical and Biological Engineering, the American Statistical Association, the American Association for the Advancement of Science, the IEEE and the American Academy of Arts and Sciences. Dr. Brown is a member of the Academy of Medicine, the National Academy of Sciences, the National Academy of Engineering, the National Academy of Inventors and a member of the Florida Inventors Hall of Fame.


Undergraduate Students
Yong Choe 1994-1995
Alex McCollom, 1993-1997
Dengda Tang, 1996-1997
David P. Nguyen, 1998-1999
Gabriel Rosenburg, 2000-2001
September Winslow, 2000-2003
Abdul Rasheed Alabi, 2003-2004
Nicholas Cetrullo, 2003
Danielle Dray, 2004
Camilo Lamus, 2004-2007
Diana M. Aversa, 2005
Andre Plair, 2005
Portia Taylor, 2006
Shadi Akiki, 2007
Vivek Reddy, 2007
Amanda Martori, 2008
Jen Gong, 2010
Henry Zheng, 2010
Nevin Raj, 2010
Sarah Svirsky, 2010
Shu Zheng, 2010-2012
Rayna Patel, 2011-2012
Noah Gelwan, 2011-2013
Sarah Toledano, 2012-2014
Samee Ibraheem, 2013-2015
Violeta Contreras Ramirez, 2014
Steven Brandt, 2015-2017
Kristina Terzakis, 2014-2015

Masters Students
Esosa O. Amayo, 2003-2006   
Neil U. Desai, 2004-2005
Pavitra Krishnaswamy, 2008-2010
Rose Faghih, 2008-2010
Shu Zheng, 2012-2014
Michael Behr, 2015-2016
Andrew Song, 2015-2016
Andrew Mullen, 2017-2019
Jordan Harrod, 2019 - present
Josefina Correa, 2019-present

Ph.D. Students
(* Indicates a student for whom Dr. Brown is/was the primary
dissertation or thesis advisor.)
Patricia Meehan*, 1992-1993
Loren M. Frank, 1995-2000   
Patrick L. Purdon*, 1998-2005   
Irmarie Reyes, 1998-2000
David P. Nguyen*, 1999-2001 
Uri T. Eden*, 2000-2005
Vincent Cheung, 2001-2008
Sujith Vijayan*, 2001-2007
Michelle McCarthy*, 2002-2007  
Cecilia Behn*, 2002-2006
Ayla Ergun, 2003
Michael J. Prerau, 2003-2004
Tyler Gibson, 2004-2005
Sam Mukherji, 2004-2005
Esosa O. Amayo*, 2003-2006   
Lakshminarayan Srinivasan*, 2004-2006 
Dennis A. Dean*, 2005-2012
Anna A. Dreyer*, 2005-2008 
Antonio Molins*, 2006-2010
Patrick Stokes*, 2007-2014
Stuart P. Layton*, 2007-2008
Camilo Lamus*, 2007-2015  
Veronica S. Weiner*, 2007-2013
Iahn Cajigas González*, 2007-2012
Demba E. Ba*, 2008-2011
Maryam Modir Shanechi*, 2008-2011
Deriba Olana*, 2008-2012
Neal Dach, 2010-2011
Pavitra Krishnaswamy*, 2010-2014
Rose Faghih*, 2010-2014
Laura D. Lewis*, 2009-2014
Gladia Hotan*, 2014-present
Tuan LeMau*, 2013-2019
Jingzhi An*, 2013-2019
Andrew Song*, 2016-present
Amanda Beck*, 2017-present
David Zhou*, 2017-present
Sandya Subramanian*, 2017-present
John M. Tauber, 2018-present
Indie Rice, 2018-present
Jordan Harrod, 2019 - present
Josefina Correa, 2019-present

Visiting Students
Maurizio Mauri, 2006-2007
Giulia Conti, 2007
Luca Citi, 2007
Shadi Akiki, 2007
Ali Ozgur Agarwal, 2008
Feng Chen, 2008-2009
Wei Wu, 2008-2010
Elvira Pirondini, 2011-2012
Aldana Gonzáles-Montoro, 2012
Ebere Ndukwe, 2012
Ehsaneddin Asgari, 2013
Michael Antunes, 2013
Brice Valentin, 2013
Katherine Loh, 2014-2015
Jacob Bamberger, 2014-2015
Gabriella Cohen, 2015-2017
Karen Adam, 2016
Daniela Santander, 2016-2017
Andrew Chen, 2017-present
Hugo Soulat, 2017-present
Taylor Baum, 2017-present
Rosa delGado Jimenez, 2018
Aprotim Cory Bhowmik, 2018
Nicholas Madamidola, 2018
Konstantinidis Kriton Georgios, 2018-2019

Medical Students
David Rogers, M.D., 1991-1994
Robert Mittendorf, 1999-2005
Eric Matten, 2001-2003
Ashaunta Tumblin, 2002-2003
Scott Thompson, 2003
Kamilla Greenidge, 2005
Arthur Wood, 2007-2008
Jasmine Thum, 2013-2015
Johanna Lee, 2014-2018
Ray Shao, 2015-2018
Elisa Walsh, 2015-2018
Jessica Briscoe, 2018-2019

Anesthesia Residents

Evan Salant, M.D., 1992-1995
Alex Chen, M.D., Ph.D., 1993-1996
Shahriar, Alikhani, M.D., 1993-1997
Garlin Cowan, M.D., 1993-1997
Paul Barach, M.D., 1995-1999
Tony Chavez, M.D., 1996-1999
Tomohiro Sawa, M.D., 1996-1999
Robinson Ughesuena, M.D., 1999-2000
James H. Williams, M.D., Ph.D., 2001-2004
Orlando Landrum, M.D., 2001-2004
George Mashour, M.D., 2003-2006
Meredith A. Albrecht, M.D., Ph.D., 2003-2005
Yumiko Ishizawa, M.D., Ph.D., 2003-2005
Amy Liu, M.D., 2005-2007
Lei Gao, M.D., 2017-present
Johanna Lee, M.D., 2018-present
Elisa Walsh, M.D., 2018-present

Medical Residents
Christopher Jones, 2016
Eugene Kim, 2016
Ao Yuan, Ph.D., 1998-2000

Post-Doctoral Fellows
Ao Yuan, 1997-1999   
Riccardo Barbieri, Ph.D., 1998-2000
Patrick L. Purdon, Ph.D., 1998-2005   
Harry P.  Luithardt, Ph.D., 1998-2000  
Anne C. Smith, Ph.D., 1999-2004,    
Loren M. Frank, Ph.D., 2000-2003   
Catherine Mullaly, Ph.D.,  2000-2003  
Christopher Long, Ph.D., 2001-2006
Supratim Saha, Ph.D., 2003-2008   
Murat Okatan, Ph.D., 2003-2007
Joao Scalon, Ph.D., 2003-2004      
Gabriela Czanner, Ph.D., 2004-2007  
Robert Haslinger, Ph.D., 2004-2007 
Simona Temereanca, Ph.D., 2005-2008
Uri Eden, Ph.D., 2005-2006   
Todd Coleman, Ph.D., 2005-2006       
Srideva Sarma, Ph.D., 2006-2009
Zhe Chen, Ph.D., 2007-2014   
Gordon Pipa, Ph.D., 2007-2008
David P. Nguyen, 2008-2010
Hideaki Shimazaki, Ph.D., 2008-2011
Aylin Cimenser, 2008-2012
Wasim Q. Malik, Ph.D., 2008-2012
Christa J. Van Dort, Ph.D., 2008-2012
Kevin Wong , Ph.D., 2008-2013
Francisco J. Flores, Ph.D., 2008-2017
ShiNung Ching, Ph.D., 2009-2013
SangGyun Kim, Ph.D., 2009-2010
David Putrino, Ph.D., 2009-2010
Eric Plourde, Ph.D., 2009-2010
Maryam Modir Shanechi, Ph.D., 2010-2013
Demba E. Ba, Ph.D., 2008-2011
Behtash Babadi, Ph.D., 2011-2014
Seong-Eun Kim, Ph.D., 2014-2017
Fanuel Muindi, Ph.D., 2013-2016
Laura Lewis, Ph.D, 2014-2018
Pavitra Krishnaswamy, Ph.D., 2014-2015
Rose Faghih, Ph.D., 2014-2016
Camilo Lamus, Ph.D., 2015-2016
Patrick Stokes, Ph.D, 2015-2019
Emily Stephen, Ph.D., 2015-2019
Pegah Kahaliardabili, M.D., 2016-present
Sourish Chakravarty, Ph.D., 2016-present
Leon Chlon, Ph.D., 2017-2018
Jesus J. Ballesteros, Ph.D., 2018-present
John Abel, Ph.D., 2018-present
Feng Liu, Ph.D., 2018-present
Fangyun Tian, Ph.D., 2018-present
Marcus Badgeley, Ph.D., 2019-present
Gabe Shamberg, Ph.D., 2019-present

Riccardo Barbieri, Ph.D., 2002-present
Catherine M. Mullaly, M.D., 2003-2006
James H. Williams, M.D., Ph.D., 2004-2008
Patrick L. Purdon, Ph.D., 2005-present
Meredith A. Albrecht, M.D., Ph.D., 2005-2006
Yumiko Ishizawa, M.D., Ph.D., 2005-2012
Eric T. Pierce, M.D., Ph.D., 2006-2012
P. Grace Harrell, M.D., 2006-2010
Robert H. Haslinger, Ph.D., 2007-2013
Supratim Saha, Ph.D., 2008-2011
Simona Temereanca, Ph.D., 2008-2010
Ken Solt, M.D., 2009-present
Padma Gulur, M.D., 2009-2010
Norman E. Taylor, M.D., Ph.D., 2012-2018
Christa J. Van Dort, Ph.D., 2012-present
Wasim Q. Malik, Ph.D., 2012-2018
Michael Prerau, Ph.D., 2012-present
Michael Brandon Westover, M.D., Ph.D., 2013-present
Brian L. Edlow, M.D., Ph.D., 2015-present
Marta Bianciardi, Ph.D., 2016-present
Francisco J. Flores, Ph.D., 2018-present

Research Funding

NIH R01-MH115592
(PI: Earl K. Miller, PhD)
2017 – 2022
Thalamocortical Dynamics and Consciousness.
The goal of this project is to study general anesthesia disruptions of cortical communication in thalamocortical circuits.
Project Role: Co-Investigator

NIH 1R01AG056015
(PI: Purdon, PhD/Brown, MD, PhD,/Dickerson, MD)
2017 – 2022
The Aging Brain Under General Anesthesia: Neurophysiology, Neuroimaging Biomarkers of Aging and Alzheimer’s Disease, and Post-Operative Cognitive Outcomes.
This project aims to study the relationships between clinical neurophysiology, brain imaging biomarkers of aging, and post-operative outcomes, in order to improve brain monitoring, drug dosing, and anesthesia care for elderly patients and patients with Alzheimer’s disease.

NIH/NIGMS 1P01 GM118629
(PI: Brown, MD, PhD)
2017 – 2022
Integrated Systems Neuroscience Studies of Anesthesia.
In this program project we will conduct a set of integrated human, primate, rodent, and mathematical modeling studies to decipher the neurophysiological mechanisms of the four most commonly used anesthetic drugs; propofol, sevoflurane, dexmedetomidine, and ketamine.
Project Role: Co-Investigator

NIH K08-GM121951
(PI: Taylor, MD)
2017 – 2022
The Role of Periaqueductal Gray Dopamine Neurons in Analgesia.
The goal of this project is to determine the effect that dopamine neurons in the periaqueductal gray play in reducing pain.
The goal of this project is to determine the effect that dopamine neurons in the periaqueductal gray play in reducing pain.
Project Role: Co-Investigator

NIH-NIA 1R01-AG053582
(PI: Johnson-Akeju, MD)
2016 – 2021
Pathophysiology of Postoperative Delirium and the Use of Biomimetic Sleep as a Treatment Strategy in the CSICU.
The primary goal of this proposal is to conduct a randomized controlled clinical trial to evaluate the efficacy of biomimetic sleep, in reducing the incidence of delirium.
Project Role: Co-Investigator

NIBIB R01-EB022726
(PI: Brown, MD, PhD)
2016 – 2019
Filtered Point Process Inference Framework for Modeling Neural Data.
In this project we will develop a filtered point process framework for neural data analysis, with models and algorithms for sparse recovery of spike-trains from time-series data comprising a series of pulsed waveforms.
Project Role: Co-Investigator

Picower Neurological Disorder Research Fund, Massachusetts Institute of Technology
(PI: Wilson, PhD)
2016 – 2018
Reticular Thalamic Circuitry and Function in Sleep and Memory.
Project Role: Co-Investigator
The Picower Institute Innovation Fund, Massachusetts Institute of Technology
(PI: Brown, MD, PhD)
2016 – 2018
Redefining Sleep.
Our analyses will likely provide novel characterizations of the sleep stages, and with them, a new framework for characterizing normal and pathologic sleep architecture.
Project Role: Co-Investigator

The Picower Institute Innovation Fund - Engineering Awards, Massachusetts Institute of Technology
(PI: Brown, MD)
2016 – 2018
A Non-Human Primate Model for Closed Loop Control of Anesthetic State.
Project Role: Co-Investigator

NIH 5R01-NS091390
(PI: Williams, MD)
2015 – 2020
Studying Memory Retrieval at the Dynamic Neural Network Level. This study aims to explore the dynamic network process by which memories are retrieved in awake-behaving animals by combining advanced neurophysiologic and computational techniques that will provide a statistically robust and easily transferable framework to study higher cognitive functions.
Project Role: Co-Investigator

DARPA W911NF-14-2-0045
(PI: Eskandar, MD)
2014 – 2019
Multi-Resolution Hierarchical Brain Network Modeling (Aim4) (DECODE).
The objective of this project is to develop technologies to accelerate the pace of scientific advances using shared, multi-disciplinary brain research data and analysis tools.
Project Role: Co-Investigator

Craig H. Neilsen Foundation, Pilot Grant
(PI: Malik, PhD)
2015 – 2017
Robust Multisignal Neural Prosthetics for Spinal Cord Injury Rehabilitation.
The objective of this project is to develop a high-performance and robust neural prosthetic for rehabilitation of individuals with spinal cord injury.
Project Role: Co-Investigator

NIGMS TR01 GM104948; (NIH Director’s Transformative Research Award)
(PI: Brown, MD, PhD)
2012 – 2017
Redesigning General Anesthesia.
This project will use pharmacological, electrical and optogenetic manipulations to create the state of general anesthesia.

Life Sciences-Simons Collaboration on the Global Brain Research Award
(PI: Jazayeri, PhD)
2014 – 2016
The neural basis of Bayesian sensorimotor integration.
The objective of this project is to combine a set of sophisticated behavioral tasks in non-human primates with dense electrophysiological recordings and state-of-the-art theoretical tools borrowed from dynamical systems analysis to assess the principles by which neural dynamics give rise to flexible mental states.
Project Role: Co-Investigator

DARPA W911NF-14-2-0045
(PI: Eskandar, MD)
2014 – 2016
Transformative Restoration of Affective Networks by Systematic, Function Oriented, Real-Time Modeling and Deep Brain Stimulation (TRANSFORM DBS).
The objective of this project is to develop technologies to accelerate the pace of scientific advances using shared, multi-disciplinary brain research data and analysis tools.
Project Role: Co-Investigator

Harvard/MIT Joint Research Grants Program in Basic Neuroscience
(PI: Assad, PhD)
2014 – 2016
Revealing Functional Connectivity in Local Cortical Circuits by Causality Analysis.
The objective of this project is to investigate local circuit connectivity with massive parallel recording of multiunit activity combined with quantitative analysis of causality.
Project Role: Co-Investigator

NIH 1U01NS090473
(PI: Sur, PhD)
2014 – 2016
Cortical Circuits and Information Flow During Memory-guided Perceptual Decisions.
The proposal aims to answer an important question by using anatomical and optogenetic techniques to develop approaches to evaluate memory-guided decisions in rodents.
Project Role: Co-Investigator

MIT International Science and Technology Initiatives (MISTI) Global Seed Funds, CHILE
(PI: Brown, MD, PhD)
2013 – 2014
Effects of Analgesia in Electroencephalographic Indicators of Pain Perception. The proposed research will tackle the complicated issue of identifying robust, reliable markers of pain and analgesia. We aim to do this by decoding pain perception through the combination of physiological recordings and subjective reports.

NICHD  R01 HD059852
(PI: Williams, MD)
2009 – 2014
Neuronal Based Prosthetic Control of Volitional Movement. Systematically matching and altering motor intent with movement production in primates performing a center-out directional task and testing an analogous approach whereby neuronal signals are used to approximate movement production via correlated stimulus trains.
Project Role: Co-Investigator

DP1 OD003646
(PI: Brown, MD, PhD)
2007 – 2012
(NIH Director’s Pioneer Award)
A Systems Neuroscience Approach for the Study of General Anesthesia.
The major goal is to use a systems neuroscience paradigm to establish an interdisciplinary program to solve the mystery of general anesthesia.

NIH/NIBIB 1 R01 EB006385-01-A1
(PI: Boas,PhD)  
09/20/07 – 06/30/12      
Dynamic Inverse Solutions for Multimodal Imaging.
The major goal of this project is to develop a unified framework for multimodal imaging by using anatomic, biophysical and physiological information to construct meaningful state-space models.
Project Role: Co-Investigator

NIH/OD 1 DP1 OD003646-04
(PI: Brown, MD, PhD)  
09/30/07 – 07/31/12              
A Systems Neuroscience Approach for the Study of General Anesthesia.
The major goal is to use a systems neuroscience paradigm to establish an interdisciplinary program to solve the mystery of general anesthesia.

NIH/NIMH 5 R01 MH071847-05
(PI: Brown, MD, PhD)   
04/15/05 – 03/31/11     
Dynamic Analyses of Learning in Behavioral Experiments.
The major objective of this application is to develop dynamic algorithms to characterize learning from binary response data.

NSF 0836720
(PI: Doershuk, PhD)
Collaborative Research CDI-Type II: Discovery of Succinct Dynamical Relationships in Large-Scale Biological Data Sets.
The project is using problems in biology to develop new statistical methods and new mathematical methods
for estimation and control theory
Project Role:  Co-Investigator

NIH/NIMH  5 R01 MH59733-09
(PI: Brown, MD, PhD)  
04/01/04 – 03/31/10       
Statistical Analysis of Hippocampal Information Encoding.
The major goal is to develop statistical models to study information encoding in the rat hippocampus.

NIH/NIDA R01 DA015644-05
(PI: Brown, MD, PhD)  
09/30/02 – 07/31/08   
Dynamic Signal Processing Analyses of Neural Plasticity
The major goal is to develop dynamic signal processing algorithms to characterize and track neural plasticity in the representation of biological signals in the rat and monkey hippocampus and other structures in the medial temporal lobe during memory.


2019: 9.07 (MIT) Introduction to Statistics for Brain and Cognitive Science (Fall)
(Dr. Brown gives all 26 lectures)

2019: Harvard/MIT HST 130/Neuro 200 Lecture (Fall)

2019: Lecture, 9.073/ HST .460 Statistics For Neuroscience Research (Spring)  

Selected Publications

 A full list of Dr. Emery Brown’s publications can be found on PubMed.

Brown EN. Neurologic Examination for Anesthesiologists: Reply. Reply to Drummond: Apnea at induction of anesthesia (Reshef et al., 2019; 130[Mar]: 462-71). Anesthesiology. 2019 Aug 19. doi: 10.1097/ALN.0000000000002913. [Epub ahead of print] PMID: 31436546.

Yang Y, Lee JT, Guidera JA, Vlasov KY, Pei J, Brown EN, Solt K, Shanechi M. Developing a personalized closed-loop controller of medically-induced coma in a rodent model. J Neural Eng. 2019 Jun;16(3):036022. doi: 10.1088/1741-2552/ab0ea4. Epub 2019 Mar 11. PMID: 30856619.

Martorell AJ, Paulson AL, Suk H, Abdurrob F, Drummond G, Guan W, Young JZ, Kim DN, Kritskiy O, Mangena V, Prince SM, Brown EN, Chung K, Boyden ES, Singer AC, Tsai L. Multi-sensory gamma stimulation ameliorates Alzheimer’s-associated pathology and improves cognition. Cell. 2019 Mar 7. pii: S0092-8674(19)30163-1. doi: 10.1016/j.cell.2019.02.014. [Epub ahead of print] PMID: 30879788.

Taylor N, Pei JZ, Zhang J, Vlasov K, Weng FJ, Taylor EC, Davis T, Van Dort C, Solt K, Brown EN. The role of glutamatergic and dopaminergic neurons in the periaqueductal gray/dorsal raphe: separating analgesia and anxiety. eNeuro. 2019 Feb 19;6(1). pii: ENEURO.0018-18.2019. doi: 10.1523/ENEURO.0018-18.2019. eCollection 2019 Jan-Feb. PMID: 31058210. PMCID: PMC6498422.

Reshef ER, Schiff ND, Brown EN. The Neurological examination for the anesthesiologists: assessing arousal level during induction, maintenance and emergence. Anesthesiology. 2019 Jan 17. doi: 10.1097/ALN.0000000000002559. [Epub ahead of print]. PMID: 30664547.

Brown EN, Pavone KJ, Naranjo M. Multimodal general anesthesia: theory and practice. Anesth Analg. 2018 Nov;127(5):1246-1258. doi: 10.1213/ANE.0000000000003668. [Epub ahead of print]. PMID: 30252709.

Walsh EC, Lee JM, Terzakis K, Zhou DW, Burns S, Buie TM, Firth PG, Shank ES, Houle TT, Brown EN, Purdon PL. Age-dependent changes in the Propofol-induced electroencephalogram in children with autism spectrum disorder. Frontiers Systems Neuroscience. 2018 Jun 22;12:23. doi: 10.3389/fnsys.2018.00023. eCollection 2018. PMID: 29988455.

Chang YC, Khan S, Taulu S, Kuperberg G, Brown EN, Hämäläinen MS, Temereanca S.
Left-lateralized contributions of saccades to cortical activity during a one-back word recognition task. Frontiers in Neural Circuits. 16 May 2018. DOI: 10.3389/fncir.2018.00038. PMID: 29867372.

Allsop SA, Wichmann R, Mills F, Burgos-Robles A, Chang CJ, Felix-Ortiz AC, Vienne A, Beyeler A, Izadmehr EM, Glober G, Cum MI, Stergiadou J, Anandalingam KK, Farris K, Namburi P, Leppla CA, Weddington JC, Nieh EH, Smith AC, Ba D, Brown EN, Tye KM. Corticoamygdala transfer of socially derived information gates observational learning. Cell. 2018 Apr 27. pii: S0092-8674(18)30457-4. doi: 10.1016/j.cell.2018.04.004. [Epub ahead of print]. PMID: 29731170.

Shelton K, QU J, Bilotta Federico, Brown EN, Cudemus G, Deng H, DiBiasio A, Gitlin J, Hahm E, Hobbs L, Houle TT, Ibala R, Loggia M, Pavone KJ, Shahzad S, Tolis G, Westover MB, Akeju O. Minimizing ICU neurological dysfunction with dexmedetomidine-induced sleep (MINDDS): protocol for a randomized, double blind, parallel-arm, placebo-controlled trial. BMJ Open. 2018 Apr 20;8(4):e020316. doi: 10.1136/bmjopen-2017-020316.

Konandaramaiah SB, Flores FJ, Holst GL, Singer AC, Han X, Brown EN, Boyden ES, Forest CR. Multi-neuron intracellular recording in vivo via interacting autopatching robots. Elife. 2018 Jan 3;7. pii: e24656. doi: 10.7554/eLife.24656. PMID: 29297466. PMCID: PMC5812718.

Kim S, Behr MK, Ba DE, Brown EN. State-space multitaper time-frequency analysis.    Proc Natl Acad Sci U S A. 2018 Jan 2;115(1):E5-E14. doi:10.1073/pnas.1702877115. Epub 2017 Dec 18. PMID: 29255032. PMCID: PMC5776784.

Akeju O, Hobbs LE, Gao L, Burns SM, Pavone KJ, Plummer GS, Walsh EC, Houle TT, Kim SE, Bianchi, MT, Ellenbogen, JM, Brown EN. Dexmedetomidine promotes biomimetic non-rapid eye movement stage 3 sleep in humans: A pilot study. Clin Neurophysiol. 2018 Jan;129(1):69-78. doi: 10.1016/j.clinph.2017.10.005. Epub 2017 Oct 20. PMID: 29154132. PMCID: PMC5743618.

Soplata AE, McCarthy MM, Sherfey J, Lee S, Purdon PL. Brown EN, Kopell NJ. Thalamocortical control of propofol phase-amplitude coupling. PLoS Comput Biol. 2017 Dec 11;13(12):e1005879. doi: 10.1371/journal.pcbi.1005879. eCollection 2017 Dec. PMID: 29227992. PMCID: PMC5739502.

Miran S, Purdon PL, Brown EN, Babadi B. Robust estimation of sparse narrowband spectra from neuronal spiking data. IEEE Trans Biomed Eng. 2017 Oct;64(10):2462-2474. doi: 10.1109/TBME.2016.2642783. Epub 2016 Dec 22. PMID: 28026746. PMCID: PMC5665393.

Flores FJ, Hartnack KE, Fath AB, Kim SE, Wilson MA, Brown EN, Purdon PL.   Thalamocortical synchronization during induction and emergence from propofol-induced unconsciousness. Proc Natl Acad Sci U S A. 2017 Aug 8;114(32):E6660-E6668. doi: 10.1073/pnas.1700148114. Epub 2017 Jul 25. PMID: 28743752. PMCID: PMC5558998.

Lee JM, Akeju O, Terzakis, K, Pavone KJ, Deng H, Houle TT, Firth PG, Shank ES, Brown EN, Purdon PL. A prospective study of age-dependent changes in propofol-induced electroencephalogram oscillations in children. Anesthesiology. 2017 Aug;127(2):293-306. doi: 10.1097/ALN.0000000000001717. PMID: 28657957.

Cornellisen L, Kim S, Lee J, Brown EN, Purdon PL, Berde C. Electroencephalographic markers of brain development during sevoflurane anaesthesia in children aged 0 to 3 years old. British Journal of Anaesthesia. Posted online Jul. 19, 2017; doi: http://dx.doi.org/10.1101/165902.

Song AH, Kuicy A, Napadow V, Brown EN, Loggia ML, Akeju O. Pharmacological Modulation of Noradrenergic Arousal Circuitry Disrupts Functional Connectivity of the Locus Ceruleus in Humans. J Neurosci. 2017 Jul 19;37(29):6938-6945. doi: 10.1523/JNEUROSCI.0446-17.2017. Epub 2017 Jun 16. PMID: 28626012 PMCID: PMC5518422.

Guidera JA, Taylor NE, Lee JT, Vlasov KY, Pei J, Stephen EP, Mayo JP, Brown EN, Solt K. Sevoflurane induces coherent slow-delta oscillations in rats. Front. Neural Circuits, 04 July 2017. https://doi.org/10.3389/fncir.2017.00036. PMID: 28725184. PMCID: PMC5495862.

Song A, Kucyi A, Napadow V, Brown EN, Loggia M, Akeju O. Pharmacological modulation of noradrenergic arousal circuitry disrupts functional connectivity of the locus coeruleus in humans. J Neurosci. 2017 Jun 16. pii: 0446-17. doi: 10.1523/JNEUROSCI.0446-17.2017. [Epub ahead of print]. PMID: 28626012.

Pavone KJ, Su L, Eromo E, Vazquez R, Rhee J, Hobbs LE, Ibala R, Gao L, Demircioglu G, Purdon PL, Brown EN, Akeju O. Lack of responsiveness during the onset and offset of sevoflurane anesthesia is associated with loss of the awake-alpha oscillation. Front Syst Neurosci. 2017 May 30;11:38. doi: 10.3389/fnsys.2017.00038. eCollection 2017. PMID: 28611601. PMCID: PMC5447687.

Bianciardi M, Strong C, Toschi N, Edlow B, Fischl B, Brown EN, Rose BR, Wald LL. A probabilistic template of human mesopontine tegmental nuclei from in vivo 7T MRI. Neuroimage. 2017 May 3; pii: S1053-8119(17)30389-0. doi: 10.1016/j.neuroimage.2017.04.070. PMID: 28476663. PMCID: PMC5670016.

Hashmi, JA, Loggia ML, Khan S, Gao L, Kim J, Napadow V, Brown EN, Akeju O.   Dexmedetomidine disrupts the local and global efficiencies of large-scale brain networks.  Anesthesiology. 2017 Jan 16. doi: 10.1097/ALN.0000000000001509. [Epub ahead of print] PMID: 28092321. PMCID: PMC5309134.
Kass RE, Eden UT, Brown EN. Analysis of Neural Data. New York, NY: Springer Science+Business Media. 2014.

Books and Chapters
Brown EN, Solt K, Purdon PL, Johnson-Akeju O. Monitoring brain state during general anesthesia and sedation. In: Miller’s Anesthesia, 8th Edition, Miller RD, ed.  Elsevier. 2015;pp. 1524-1540.

Westover MB, Ching S, Shafi MM, Cash SS and Brown EN. Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression. In: Modeling and control of burst suppression for management of medical coma. Cambridge University Press. 2014. pp. 347-362.

Coleman TP, Yanike M, Suzuki WA, Brown EN. A mixed filter algorithm for dynamically tracking learning from multiple behavioral and neurophysiological measures. In: Neuronal Variability and its Functional Significance, Glanzman DL, ed. Oxford University Press, 2010, pp. 3-28.

Brown EN, Chen Z, Barbieri R. State-space modeling of neural spike train and neural behavioral data.
In: Statistical Signal Processing for Neuroscience. Oweiss K, ed. Oxford Press, 2010; pp. Pages 1-411

Paninski L, Brown EN, Iyengar S, Kass RE. Statistical models of spike trains. In: Stochastic Methods in Neuroscience. Liang C and Lord GJ, eds. Oxford: Clarendon Press, 2010; pp. 272-296.

Brown EN, Barbieri R. Dynamic analyses of neural representations using the state-space modeling paradigm, In: Madras B, Von Zastrow M, Colvis C, Rutter J, Shurtleff D, Pollock J. The Cell Biology of Addiction, New York, Cold Spring Harbor Laboratory Press, 2005; pp. 415-32.

Brown EN. The theory of point processes for neural systems, In: Chow CC, Gutkin B, Hansel D, Meunier, C, Dalibard J, eds. Methods and Models in Neurophysics, Paris, Elsevier, 2005; pp. 691-726.

Brown EN, Solo V, Choe Y, Zhang Z. Measuring the period of the human biological clock. In: Brand L, Johnson ML, eds. Methods in Enzymology, Numerical Computer Methods, vol. 383, Orlando, Academic Press, 2004; pp. 383-405.

Brown EN, Barbieri R, Eden UT, Frank LM. Likelihood methods for neural data analysis. In: Feng J, ed. Computational Neuroscience: A Comprehensive Approach, London: CRC, 2003; pp. 253-86.

Frank LM, Brown EN, Wilson MA. Entorhinal place cells: trajectory encoding. In: Sharp P, ed. Neural Basis for Navigation: Evidence from Single Cell Recordings, San Diego: Kluwer, 2002; pp.97-116.

Brown EN, Barach PR. Statistics, Chapter 17. In: Hemmings HC, Hopkins, PM, eds. Foundations of Anesthesia: Basic and Clinical Science. London: Mosby, 2000;pp.169-78.

Schmid CH, Brown EN. Bayesian hierarchical linear models. In: Brand L, Johnson ML, eds. Methods in Enzymology, Numerical Computer Methods, Vol. 321, Orlando, Academic Press, 2000;pp. 305-30. PMID: 10909064.

Schmid CH, Brown EN. A probability model for saltatory growth. In: Lampl M, ed., Chapter 11. Saltatory and Stasis in Human Growth and Development: Evidence, Methods and Theory. London, Smith-Gordon, 1999;pp. 121-31.

Segré GV, Brown EN. Measurement of hormones. In: Wilson JD, Foster DW, Larsen R, Kronenberg H, eds. Williams Textbook of Endocrinology, 9th Edition, 1998;pp. 43-54.

Dempster AP, Brown EN. Models and modeling in context. In: Gammerman A. ed. Probabilistic Reasoning and Bayesian Belief Networks, London: Alfred Waller Ltd., 1995;pp. 55-69.

Brown EN, Schmid CH. Application of the Kalman filter to computational problems in   statistics. In: Brand L, Johnson ML, eds. Methods in Enzymology, Numerical Computer Methods, Part B: Orlando: Academic Press, 1994;pp. 171-81. PMID: 7823830.

Brown EN. Strategies for coping with jet-lag. In: Mulder DS, McPeek B, Troidl H, Spitzer WO, McKneally MF, Wechsler A, Balch CM, eds. Principles and Practice of Research: Strategies for Surgical Investigators, 2nd Edition. New York: Springer-Verlag, 1990;pp. 443-5.

Brown EN, Purdon PL, Akeju O, An J. Using EEG markers to make inferences about anaesthetic-induced altered states of arousal. British Journal of Anaesthesia. Comment. Accepted 24 December 2017, Available online 14 March 2018. https://doi.org/10.1016/j.bja.2017.12.034.

Schwinn DA, Mackensen GB, Brown EN. Understanding the TXA seizure connection.  J Clin Invest. 2012 Dec 3;122(12):4339-41. PMID: 23187134.

Solt K, Chemali JJ, Van Dort CJ, Brown EN. In reply. Anesthesiology. 2012 Dec;117(6):1394-5. PMID: 23168434.

Brown EN, Solt K. Management of opiod analgesic overdose, N Engl J Med. 2012 Oct 4;367(14):1370-1; author reply 1372-3. doi: 10.1056/NEJMc1209707#SA1. No abstract available. PMID: 23034040.

Brown EN, Kass RE. Special issue on 'statistical analysis of neuronal data'. Statistics in Medicine, 2007 Sep 20; 26(21):3827-9. PMID: 17607722.

Brown EN. Comments on parameter estimation for differential equations: a generalized smoothing approach.

Ramsay JO, Hooker G, Campbell D, Cao J. Journal of the Royal Statistical Society B, 2007 69, Part 5, pp. 741–796.

Liu S, Brown EN. Functional neuroimaging in anesthesia pain research. Anesthesia and Analgesia, 2007, Dec;105(6):1526-7. PMID: 18042841.

Brown EN. Neuroscience data analysis: three signal processing and statistical challenges. SIAM News, 2007, March 40(2): 2, 14.

Brown EN, David Blackwell. A role model for African-American scientists. Institute of Mathematical Statistics, Newsletter. November 2006.

Frank LM, Brown EN. Persistent activity and memory in the entorhinal cortex. Trends in Neuroscience, 2003, Aug. 26 (8): 400-1.

Victor JD, Brown EN. Information and statistical structure in spike trains. Network: Computation in Neural Systems, 2003, Feb. 14(1): 1-4.

Czeisler CA, Dijk DJ, Kronauer RE, Brown EN, Duffy JF, Allan JS, Shanahan TL, Rimmer DW, Ronda JM, Mitchell JF, Silva EJ, Emens JS. Author’s response to letter entitled “Is there an intrinsic period of the clock?” Science, 2000, 288:1174-75.

Czeisler CA, Brown EN. Commentary: models of the effect of light on the human circadian system: current state of the art. Journal Biological Rhythms, 1999, 14:538-43.

Brown EN. Author’s response to a letter entitled, “The smallest concentration.” Clinical Chemistry, 1997, 43:856-57. PMID: 11536806.

Brown EN. Editor’s note on cardiac output measurement: Lack of agreement between thermodilution and thoracic electric bioimpedance in two clinical settings. Journal of Clinical Anesthesia, 1996, 8:339-40.

Brown EN. Review of Biologic Rhythms in Clinical and Laboratory Medicine. Touitou Y, Hans E., eds. Statistics in Medicine, 1996, 15:2262-63.

Brown EN. Comments on “Hierarchical models for ranking and for identifying extremes, with applications” by Morris CN and Christiansen CL. In: Bernardo JM, Berger JO, Dawid AP, Smith AFM, eds. Bayesian Statistics 5. Oxford University Press 1996, p. 277-96.

Brown EN. Comment on the article, “The outcome of coronary artery bypass surgery as predicted by decision analysis: the influence of age, disease severity on ventricular function.” Journal of Theoretical Surgery, 1992, 7:57-75.

Clinical Communications

Eckhardt WF, Iaconetti J, Kwon JS, Brown EN, Troianos CA. CASE 1-996: Inadvertent carotid artery cannulation during pulmonary artery catheter insertion. Journal of Cardiothoracic and Vascular Anesthesia, 1996, 10:283-90.

Ballantyne JC, Brown EN. Latex anaphylaxis: another case, another ause. Anesthesia and Analgesia, 1995, 81:1303-04.

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