Craig S. Henriquez

Craig S. Henriquez

Professor of Biomedical Engineering

External Address: 
274 Hudson Hall Annex, Durham, NC 27708
Internal Office Address: 
Duke Box 90281, Durham, NC 27708-0281
Phone: 
919.660.5168
Email: 

Overview

Dr. Henriquez is also a Professor of Computer Science and Co-Director of the Center for Neuroengineering. Henriquez's research interests include large scale computing, heart modeling, and brain modeling.

A breakdown of the normal electrical activation sequence of the heart can sometimes lead to a state of ventricular fibrillation in which the heart ceases to function as an effective pump. Abnormal rhythms or arrhythmias often result after an episode of ischemia (a localized reduction of blood flow to the heart itself) which affects both the ionic processes necessary to elicit an impulse and the passive electrical properties of the tissue. Identifying the complex mechanisms of arrhythmogenesis will require experimentation as well as mathematical and computer models.

Current projects include the application of the bidomain model to diseased tissue to investigate how changes in tissue structure (both natural and diseased induced) and changes in ionic current flow influences the nature of conduction and the onset of arrhythmia.

Dr. Henriquez's group is also interested in developing realistic models that will enable investigators to better interpret electrophysiological measurements made in the clinic. For example, activation maps at the surface of the heart are typically constructed based on the detection of specific features of the surface extracellular recordings. However, for complex activation, such as might arise during an arrhythmia, the features are difficult to distinguish.

The use of models that simulate both activation and the resulting extracellular potential and the application of signal processing techniques can lead to a tool for constructing more meaningful maps from experimental recordings during abnormal conduction. This works involves direct interaction with experimental research performed in the Experimental Electrophysiology Laboratory under the direction of Dr. Patrick Wolf and the Cardiac Electrophysiology & Tissue Engineering lab under the direction of Dr. Nenad Bursac.

Education & Training

  • Ph.D., Duke University 1988

  • B.S., Duke University 1981

Selected Grants

Computational Tools for Multi-Scale Heart Modeling awarded by National Institutes of Health (Principal Investigator). 2004 to 2009

Neural Signal Acquisition System awarded by Lord Foundation of North Carolina (Co-Principal Investigator). 2006 to 2007

Brain-Machine Interfaces for Monitoring and Modeling Sensorimotor Learning in Primates awarded by National Science Foundation (Co Investigator). 1999 to 2004

Safety and Efficacy of Cellular Cardiomyoplasty awarded by National Institutes of Health (Co Investigator). 1999 to 2003

Improved Discretization Methods for Modeling Wavefront Conduction in Nonuniform Cardiac Tissue awarded by National Science Foundation (Principal Investigator). 1999 to 2003

Optical Mapping System for the Study of Complex Spatiotemporal Activity in the Heart and Brain awarded by Lord Foundation of North Carolina (Principal Investigator). 1999 to 2002

Realistic Bidomain Modeling of 3-D Myocardium awarded by National Institutes of Health (Principal Investigator). 1997 to 2002

Realistic Bidomain Modeling of 3-D Myocardium awarded by National Institutes of Health (Principal Investigator). 1997 to 2002

Development & Validation of a Computational Model... awarded by Lord Foundation of North Carolina (Principal Investigator). 1997 to 1998

Pages

Rossi, Simone, et al. “Muscle Thickness and Curvature Influence Atrial Conduction Velocities.Front Physiol, vol. 9, 2018, p. 1344. Pubmed, doi:10.3389/fphys.2018.01344. Full Text

Barth, Bradley B., et al. “Electrical stimulation of gut motility guided by an in silico model.Journal of Neural Engineering, vol. 14, no. 6, Dec. 2017, p. 066010. Epmc, doi:10.1088/1741-2552/aa86c8. Full Text

Li, Guoshi, et al. “Unified thalamic model generates multiple distinct oscillations with state-dependent entrainment by stimulation.Plos Computational Biology, vol. 13, no. 10, Oct. 2017, p. e1005797. Epmc, doi:10.1371/journal.pcbi.1005797. Full Text

Gokhale, Tanmay A., et al. “Modeling dynamics in diseased cardiac tissue: Impact of model choice.Chaos (Woodbury, N.Y.), vol. 27, no. 9, Sept. 2017, p. 093909. Epmc, doi:10.1063/1.4999605. Full Text

Gokhale, Tanmay A., et al. “Modeling an Excitable Biosynthetic Tissue with Inherent Variability for Paired Computational-Experimental Studies.Plos Computational Biology, vol. 13, no. 1, Jan. 2017, p. e1005342. Epmc, doi:10.1371/journal.pcbi.1005342. Full Text Open Access Copy

Ying, Wenjun, and Craig S. Henriquez. “Adaptive Mesh Refinement and Adaptive Time Integration for Electrical Wave Propagation on the Purkinje System.Biomed Research International, vol. 2015, Jan. 2015, p. 137482. Epmc, doi:10.1155/2015/137482. Full Text

Hubbard, Marjorie Letitia, and Craig S. Henriquez. “A microstructural model of reentry arising from focal breakthrough at sites of source-load mismatch in a central region of slow conduction.American Journal of Physiology. Heart and Circulatory Physiology, vol. 306, no. 9, May 2014, pp. H1341–52. Epmc, doi:10.1152/ajpheart.00385.2013. Full Text

Henriquez, Craig S. “A brief history of tissue models for cardiac electrophysiology.Ieee Transactions on Bio Medical Engineering, vol. 61, no. 5, May 2014, pp. 1457–65. Epmc, doi:10.1109/tbme.2014.2310515. Full Text

Hubbard, M. L., and C. S. Henriquez. “Effect of gap junction uncoupling on spatial dispersion of action potential duration at sites of abrupt tissue expansion.” Computing in Cardiology, vol. 40, Dec. 2013, pp. 699–702.

Pourtaheri, Navid, et al. “Electromagnetohydrodynamic modeling of Lorentz effect imaging.J Magn Reson, vol. 236, Nov. 2013, pp. 57–65. Pubmed, doi:10.1016/j.jmr.2013.08.011. Full Text

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