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Emery N. Brown, M.D., Ph.D. Massachusetts General Hospital
Professor of Anaesthesia Department of Anesthesia and Critical Care Professor of Computational Neuroscience Professor of Health Sciences and Technology Department of Brain
and Cognitive Sciences Harvard/MIT Division of Health Sciences and Technology Massachusetts Institute of Technology |
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brown@neurostat.mgh.harvard.edu (617) 726-7487 |
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.
- characterize 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.
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.
Ensemble Neural Spike Train Decoding Video 1
Ensemble Neural
Spike Train Decoding Video 2
Ensemble
Neural Spike Train Decoding Video 3
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.
Simulated
CA1 Place Field Dynamics
Actual
CA1 Place Field Dynamics
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
Selected Publications
2008
Molins A, Stufflebeam SM, Brown EN, Hämäläinen MS. Quantification of the benefit from
integrating MEG and EEG data in minimum l2-norm estimation. NeuroImage, 2008, In Press.
Prerau MJ, Smith AC, Yanike M,
Suzuki WA, Brown EN. A mixed filter algorithm for
simultaneously recorded continuous-valued and binary observations. Biological
Cybernetics, 2008, April
26 (epub ahead of print). PMID: 18438683
Czanner G, Eden UT, Wirth S, Yanike
M, Suzuki WA, Brown EN. Analysis of between-trial and within-trial neural spiking dynamics.
Journal of Neurophysiology, 2008, 99:
2672-2693. PMID: 18216233
Napadow V, Dhond
R, Conti G, Makris N, Brown EN, Barbieri R. Brain correlates of autonomic modulation:
combining heart rate variability with fMRI. NeuroImage, 2008, April 30 (epub ahead of print). PMID: 18524629
Diniz Behn CG, Kopell NK, Brown EN, Mochizuki T, Scammell TE. Delayed orexin
signaling consolidates wake and sleep: physiology and modeling. Journal of Neurophysiology, 2008, 99(6):3090-3103.
PMID: 18417630
Barbieri, R, Brown EN. Applications of dynamic point process models to
cardiovascular control. Biosystems, 2008, April 26 (epub ahead of print).
PMID: 18515000
2007
Zhang Q, Brown EN, Strangman GE. Adaptive
filtering to reduce global interference in evoked brain activity detection: a
human subject case study. Journal of Biomedical Optics, 2007, 12(6):064009.
PMID: 18163825
Zhang
Q, Brown EN, Strangman GE. Adaptive filtering for global
interference cancellation and real time recovery of evoked brain activity: a
Srinivasan L, Eden UT, Mitter
SK, Brown EN. General
purpose filter design for neural prosthetic devices. Journal
of Neurophysiology, 2007, 98(4): 2456-2475.
Diniz Behn C, Brown EN, Scammell
TE, Kopell NJ. A mathematical model of network dynamics
governing mouse sleep-wake behavior. Journal of Neurophysiology,
2007, 97(6): 3828-3840.
Smith AC, Wirth A, Suzuki W, Brown EN. Bayesian analysis of interleaved learning and response bias in
behavioral experiments. Journal of Neurophysiology, 2007, Mar;
97(3):2516-24.
Srinivasan
L, Brown EN. A state-space framework for movement
control to dynamic goals through brain-driven interfaces. IEEE
Transactions on Biomedical Engineering, 2007, 54(3):526-535.
Ergun A, Barbieri R,
2006
Karameh FN, Dahleh
MA, Brown EN, Massaquoi SG. Modeling the contribution
of lamina 5 neuronal and network dynamics to low frequency EEG phenomena.
Biological Cybernetics, 2006, 95(4): 289-310.
Srinivasan L,
Haslinger, R, Ulbert
I, Moore C, Brown EN, Devor A. Laminar
analysis of the effect of ongoing cortical activity on the stimulus evoked
response in rat somatosensory cortex. Journal of Neurophysiology, 2006, 96(3): 1658-63.
Frank LM, Brown EN
Indic P, Brown EN. Characterizing
the amplitude dynamics of the human core-temperature circadian rhythm using a
stochastic-dynamical model. Journal of Theoretical Biology, 2006,
239: 499-506.
Barbieri R, Brown EN. Analysis of heart beat dynamics by point process adaptive filtering. IEEE Transactions on Biomedical Engineering, 2006, 53(1): 4-12.
Lee WCA, Huang H, Feng G, Sanes
JR, Brown EN, So PT, Nedivi E. Dynamic
remodeling of dendritic arbors in GABAergic
interneurons of adult visual cortex. Public Library of Science-Biology,
2006, Feb 4(2):e29.
2005
Law JR, Flanery MA,
Wirth S, Yanike M, Suzuki WA, Smith AC, Frank LM, Brown EN, Stark CEL. fMRI activity during the gradual acquisition and expression
of paired-associate memory. Journal of Neuroscience, 2005, 25(24):
5720-5729.
Brown EN and 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,
Brown EN. 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, Chapter 14, pp. 691-726.
Okatan M,
Kass RE,
Barbieri R,
Smith AC, Stefani MR, Moghaddam B, Brown EN.
Analysis and design of behavioral experiments to characterize
population learning. Journal of Neurophysiology
(published on line Sept. 29, 2004), 2005, 93: 1776-1792.
Barbieri R, Matten EC, Alabi,
A. Brown EN. A point process model of human heart beat intervals: new
definitions of heart rate and heart rate variability, American Journal of
Physiology: Heart and Circulatory Physiology (published on line Sept 16,
2004), 2005, 288: H424-H435.
Truccolo W, Eden U,
Fellow M, Donoghue JD, Brown EN. A point process
framework for relating neural spiking activity to spiking history, neural
ensemble and covariate effects. Journal of
Neurophysiology, (published online Sept. 8, 2004), 2005, 93: 1074-1089.
Long CL, Brown EN, Triantafyllou
C, Aharon I, Wald L, Solo V. Nonstationary
noise estimation in functional MRI. Neuroimage (published online
August 29, 2005), 2005, 28(4): 890-903.
Indic P, Forger DB, St. Hilaire
MA, Dean DA, Brown EN, Kronauer RE, Klerman
EB, Jewett ME. Comparison of amplitude recovery dynamics of
two limit cycle oscillator models of the human circadian pacemaker. Chronobiology
International, 2005, 22(4): 613-629.
2004
Frank, LM, Stanley GB, Brown
EN. Hippocampal plasticity across multiple days of
exposure to novel environments. Journal of Neuroscience, 2004,
24(35): 7681-89.
Brown EN, Kass RE, Mitra PP, Multiple neural spike
train data analysis: state-of-the-art and future challenges, Nature
Neuroscience, 2004, 7(5): 456-61.
Eden UT, Frank LM, Barbieri R, Solo V, Brown EN,
Dynamic analyses of neural encoding by point process adaptive filtering, Neural
Computation, 2004, 16(5): 971-998.
Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson
MA, Brown EN, Dynamic analyses of information encoding by neural
ensembles. Neural Computation, 2004, 16(2): 277-307.
Smith AC, Frank LM, Wirth S, Yanike M, Hu
D, Kubota Y, Graybiel AM, Suzuki W, Brown EN. Dynamic analysis of
learning in behavioral experiments, Journal of Neuroscience,
2004, 15: 965-91.
Long CL, Brown EN, Manoach D, Solo V. Spatio-temporal wavelet analysis for
functional MRI. Neuroimage, 2004, 23(2): 500-16.
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,
2003
Wirth S, Yanike M. Frank LM, Smith AC, Brown EN,
Brown EN, Barbieri R,
Nguyen D, Frank LM, Brown EN.
An
application of reversible-jump MCMC to spike classification of multiunit
extracellular recordings. Network: Computation in Neural Systems 2003; 14:
61-82.
Smith AC, Brown EN. Estimating a
state-space model from point process observations. Neural
Computation. 2003; 15: 965-91.
Klerman EB, Adler GK, Jin M, Maliszewski AM, Brown EN. A statistical model of diurnal variation in human growth hormone. American Journal of Physiology 2003, E1118-26.
2002
Frank LM, Brown EN,
Frank LM,
Brown EN, Barbieri R,
Bonmassar G, Purdon PL, Jaaskelainen
IP, Chiappa K, Solo V, Brown EN, Belliveau JW.
Motion and ballistocardiogram
artifact removal for interleaved recording of EEG and EPs during MRI. NeuroImage. 2002, 16(4): 1127-42.
2001
Brown EN, Nguyen DP, Frank LM,
Frank LM, Brown EN,
Barbieri R, Quirk MC, Frank LM,
Solo V, Purdon P, Weisskoff R, Brown
EN. A signal estimation approach to functional MRI.
IEEE, Transactions in Medical Imaging 2001, 20: 26-35.
Brown EN, Meehan PM, Dempster AP. A stochastic differential
equation model of diurnal cortisol patterns. American Journal of Physiology
2001, 280: E450-E461.
2000
Frank LM, Brown EN,
Brown EN, Choe Y, Luithardt
H,
1989-1999
Czeisler CA, Duffy JF, Shanahan TL, Brown EN, Mitchell JF, Rimmer DW, Ronda JM, Silva E, Allan JS, Emens
JS, Dijk DJ, Kronauer RE. Age-independent stability, precision, and near 24 hour period of
the human circadian pacemaker. Science 1999, 284: 2177-2181.
Brown EN, Frank LM, Tang D, Quirk MC, Wilson
MA. A
statistical paradigm for neural spike train decoding applied to position
prediction from ensemble firing patterns of rat hippocampal place cells, Journal
of Neuroscience 1998; 18: 7411-7425. Download article
Brown EN, Choe Y, Czeisler CA, Shanahan TL. A mathematical model of diurnal variation in plasma melatonin
levels. American Journal of Physiology, (Endocrinology and
Metabolism 35) 1997, 272: E506-E16.
Brown EN, McDermott T, Bloch KJ, McCollom AD. Defining
the smallest analyte concentration an immunoassay can
measure. Clinical Chemistry 1996, 42: 893-903.
Brown EN,
Brown EN. A note on the asymptotic distribution of parameter estimates for the
harmonic regression model. Biometrika 1990,
77: 653-56.