Faculty Profile

Michael J. Prerau, PhD

MichaelPrerau201806
Assistant Professor of Anæsthesia, Harvard Medical School
Assistant in Bioengineering, Massachusetts General Hospital

Administrative Title(s)

Department of Anesthesia, Critical Care, and Pain Medicine

See publications


Email mprerau@mgh.harvard.edu

Society Memberships

Sleep Research Society
American Academy of Sleep Medicine

Research Unit(s)

Lab website: sleepeeg.org

Research Interests

Our lab’s research focuses on experimental and computational approaches to understanding the neural correlates of consciousness in humans—specifically how sleep affects the brain. We specialize in using the state-of-the-art in quantitative approaches to develop novel statistical signal processing algorithms for the analysis of neural data, with direct applications to basic science, biomarker discovery, and medical device development.

Mentor(s)


Research Funding


NIH-NIA, PIs: Michael J. Prerau, PhD, Patrick L. Purdon, PhD, Bradford C. Dickerson, MD, Noninvasive Low-cost Biomarkers for Preclinical Diagnosis and Longitudinal Tracking of Alzheimer's Disease Using Sleep and Resting State EEG

The objective of this research is to develop low-cost, non-invasive, electrophysiological biomarkers of brain amyloid and neurodegeneration in patients with Preclinical and Prodromal Alzheimer’s disease using the sleep and resting state electroencephalogram.

NIH-NINDS, PI: Michael J. Prerau, Modeling Multiscale Sleep EEG Dynamics as a Framework for Biomarker Discovery

The goal of this project is to identify biomarkers of psychological and neurological disorders from sleep EEG. In this project, we will use state-of-the-art statistical modeling and signal processing techniques to extract novel features of neural dynamics during sleep 

Selected Publications


Prerau MJ, Brown RE, Bianchi MT, Ellenbogen JM, Purdon PL. Sleep
Neurophysiological Dynamics Through the Lens of Multitaper Spectral Analysis.
Physiology (Bethesda, Md.). 2017; 32(1):60-92. P PMID: 27927806, PMCID: PMC5343535

Akeju O, Pavone KJ, Westover MB, Vazquez R, Prerau MJ, Harrell PG, Hartnack KE,
Rhee J, Sampson AL, Habeeb K, Gao L, Pierce ET, Walsh JL, Brown EN, Purdon PL. A
comparison of propofol- and dexmedetomidine-induced electroencephalogram dynamics
using spectral and coherence analysis. Anesthesiology. 2014; 121(5):978-89.
NIHMSID: NIHMS619322 PMID: 25187999, PMCID: PMC4304638

Prerau MJ, Hartnack KE, Obregon-Henao G, Sampson A, Merlino M, Gannon K, Bianchi
MT, Ellenbogen JM, Purdon PL. Tracking the sleep onset process: an empirical
model of behavioral and physiological dynamics. PLoS computational biology. 2014;
10(10):e1003866. PMID: 25275376, PMCID: PMC4183428

Prerau MJ, Lipton PA, Eichenbaum HB, Eden UT. Characterizing context-dependent
differential firing activity in the hippocampus and entorhinal cortex.
Hippocampus. 2014; 24(4):476-92. NIHMSID: NIHMS558446
PuPMID:24436108, PMCID: PMC3966990

Purdon PL, Pierce ET, Mukamel EA, Prerau MJ, Walsh JL, Wong KF, Salazar-Gomez AF,
Harrell PG, Sampson AL, Cimenser A, Ching S, Kopell NJ, Tavares-Stoeckel C,
Habeeb K, Merhar R, Brown EN. Electroencephalogram signatures of loss and
recovery of consciousness from propofol. Proceedings of the National Academy of
Sciences of the United States of America. 2013; 110(12):E1142-51.
PMID: 23487781, PMCID: PMC3607036

Prerau MJ, Purdon PL, Eden UT. Tracking non-stationary spectral peak structure in
EEG data. Conference proceedings : ... Annual International Conference of the
IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine
and Biology Society. Annual Conference. 2013; 2013:417-20.
PMID:24109712

 A probabilistic framework for time-frequency detection of burst suppression
Prerau MJ, Purdon PL.
Neural Engineering (NER). IEEE. 2013; :609-12.
My Bibliography [journal]

Sampson AL, Babadi B, Prerau MJ, Mukamel EA, Brown EN, Purdon PL. Beamforming
approach to phase-amplitude modulation analysis of multi-channel EEG. Conference
proceedings : ... Annual International Conference of the IEEE Engineering in
Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society.
Annual Conference. 2012; 2012:6731-4. NIHMSID: NIHMS505668
PMID:23367474, PMCID: PMC3753031

Prerau MJ, Eden UT. A general likelihood framework for characterizing the time
course of neural activity. Neural computation. 2011; 23(10):2537-66.
PMID: 21732865

Wong KF, Smith AC, Pierce ET, Harrell PG, Walsh JL, Salazar AF, Tavares CL,
Cimenser A, Prerau MJ, Mukamel EA, Sampson A, Purdon PL, Brown EN. Bayesian
analysis of trinomial data in behavioral experiments and its application to human
studies of general anesthesia. Conference proceedings : ... Annual International
Conference of the IEEE Engineering in Medicine and Biology Society. IEEE
Engineering in Medicine and Biology Society. Annual Conference. 2011;
2011:4705-8. NIHMSID: NIHMS353907 PMID: 22255388, PMCID:PMC3282046

Mukamel EA, Wong KF, Prerau MJ, Brown EN, Purdon PL. Phase-based measures of
cross-frequency coupling in brain electrical dynamics under general anesthesia.
Conference proceedings : ... Annual International Conference of the IEEE
Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and
Biology Society. Annual Conference. 2011; 2011:1981-4. NIHMSID: NIHMS353900
PMID: 22254722, PMCID: PMC3282123

Prerau MJ, Smith AC, Eden UT, Kubota Y, Yanike M, Suzuki W, Graybiel AM, Brown
EN. Characterizing learning by simultaneous analysis of continuous and binary
measures of performance. Journal of neurophysiology. 2009; 102(5):3060-72.
PMID: 19692505, PMCID: PMC2777819

Prerau MJ, Smith AC, Eden UT, Yanike M, Suzuki WA, Brown EN. A mixed filter
algorithm for cognitive state estimation from simultaneously recorded continuous
and binary measures of performance. Biological cybernetics. 2008; 99(1):1-14.
NIHMSID: NIHMS101158 PMID: 18438683, PMCID: PMC2707852

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