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

Pages

Zhang, X., et al. “Spike-based indirect training of a spiking neural network-controlled virtual insect.” Proceedings of the Ieee Conference on Decision and Control, Jan. 2013, pp. 6798–805. Scopus, doi:10.1109/CDC.2013.6760966. Full Text

Virag, Nathalie, et al. “TRM Forum on Computer Simulation and Experimental Assessment of Cardiac Function.Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology, vol. 14 Suppl 5, Nov. 2012, pp. v1–2. Epmc, doi:10.1093/europace/eus266. Full Text

Hubbard, Marjorie Letitia, and Craig S. Henriquez. “Microscopic variations in interstitial and intracellular structure modulate the distribution of conduction delays and block in cardiac tissue with source-load mismatch.Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology, vol. 14 Suppl 5, Nov. 2012, pp. v3–9. Epmc, doi:10.1093/europace/eus267. Full Text

Zhang, X., et al. “A Radial Basis Function Spike Model for Indirect Learning via Integrate-and-Fire Sampling and Reconstruction Techniques.” Advances in Artificial Neural Systems, vol. 2012, Hindawi Limited, Oct. 2012, pp. 1–16. Crossref, doi:10.1155/2012/713581. Full Text

Maheswaranathan, Niru, et al. “Emergent bursting and synchrony in computer simulations of neuronal cultures.Front Comput Neurosci, vol. 6, 2012, p. 15. Pubmed, doi:10.3389/fncom.2012.00015. Full Text

Kim, Jong M., et al. “A computer model of engineered cardiac monolayers.Biophysical Journal, vol. 98, no. 9, May 2010, pp. 1762–71. Epmc, doi:10.1016/j.bpj.2010.01.008. Full Text

Tranquillo, Joseph V., et al. “Collision-based spiral acceleration in cardiac media: roles of wavefront curvature and excitable gap.Biophysical Journal, vol. 98, no. 7, Apr. 2010, pp. 1119–28. Epmc, doi:10.1016/j.bpj.2009.12.4281. Full Text

Stinstra, Jeroen, et al. “Incorporating histology into a 3D microscopic computer model of myocardium to study propagation at a cellular level.Annals of Biomedical Engineering, vol. 38, no. 4, Apr. 2010, pp. 1399–414. Epmc, doi:10.1007/s10439-009-9883-y. Full Text

Hubbard, Marjorie Letitia, and Craig S. Henriquez. “Increased interstitial loading reduces the effect of microstructural variations in cardiac tissue.American Journal of Physiology. Heart and Circulatory Physiology, vol. 298, no. 4, Apr. 2010, pp. H1209–18. Epmc, doi:10.1152/ajpheart.00689.2009. Full Text

Foderaro, G., et al. “Indirect training of a spiking neural network for flight control via spike-timing-dependent synaptic plasticity.” Proceedings of the Ieee Conference on Decision and Control, Jan. 2010, pp. 911–17. Scopus, doi:10.1109/CDC.2010.5717260. Full Text

Pages