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

Hugh, G. S., et al. “A simulator for the analysis of neuronal ensemble activity: Application to reaching tasks.” Neurocomputing, vol. 44–46, July 2002, pp. 847–54. Scopus, doi:10.1016/S0925-2312(02)00482-4. Full Text

Muzikant, Adam L., et al. “Region specific modeling of cardiac muscle: comparison of simulated and experimental potentials.Annals of Biomedical Engineering, vol. 30, no. 7, July 2002, pp. 867–83. Epmc, doi:10.1114/1.1509453. Full Text

Penland, R. C., et al. “Modeling impulse propagation and extracellular potential distributions in anisotropic cardiac tissue using a finite volume element discretization.” Comput. Vis. Sci. (Germany), vol. 4, no. 4, 2002, pp. 215–26. Manual, doi:10.1007/s00791-002-0078-4. Full Text

Sampson, K. J., and C. S. Henriquez. “Simulation and prediction of functional block in the presence of structural and ionic heterogeneity.American Journal of Physiology. Heart and Circulatory Physiology, vol. 281, no. 6, Dec. 2001, pp. H2597–603. Epmc, doi:10.1152/ajpheart.2001.281.6.h2597. Full Text

Henriquez, A. P., et al. “Influence of dynamic gap junction resistance on impulse propagation in ventricular myocardium: a computer simulation study.Biophysical Journal, vol. 81, no. 4, Oct. 2001, pp. 2112–21. Epmc, doi:10.1016/s0006-3495(01)75859-6. Full Text

Sachse, F. B., et al. “Modeling of fiber orientation in the ventricular myocardium with MR diffusion imaging.” Computers in Cardiology, Jan. 2001, pp. 617–20. Scopus, doi:10.1109/CIC.2001.977731. Full Text

Hsu, E. W., and C. S. Henriquez. “Myocardial fiber orientation mapping using reduced encoding diffusion tensor imaging.Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance, vol. 3, no. 4, Jan. 2001, pp. 339–47. Epmc, doi:10.1081/jcmr-100108588. Full Text

Pormann, J. B., et al. “Automated membrane model creation.” Computers in Cardiology, Dec. 2000, pp. 235–38.

Pormann, J., et al. “Modular simulation of cardiac dynamics on distributed memory parallel computers.” Annals of Biomedical Engineering, vol. 28, no. SUPPL. 1, Dec. 2000.

Davis, B., et al. “Three-dimensional, reduced encoding MRI assessment of myocardial fiber architecture.” Annals of Biomedical Engineering, vol. 28, no. SUPPL. 1, Dec. 2000.

Pages