@article {23336,
	title = {Non-equilibrium reactivation of Na+ current drives early afterdepolarizations in mouse ventricle},
	journal = {Circulation: Arrhythmia and Electrophysiology},
	volume = {7},
	year = {2014},
	pages = {1205-1213},
	publisher = {Lippincott Williams \& Wilkins (United States)},
	address = {Worldwide},
	author = {Andrew G {Edwards} and Grandi, Eleonora and Johan Elon {Hake} and Patel, Sonia and Li, Pan and Miyamoto, Shigeki and Jeffrey H. {Omens} and Joan Heller {Brown} and Donald M. {Bers} and Andrew D. {McCulloch}}
}
@article {Simula.simula.2388,
	title = {Patient-Specific Models of Cardiac Biomechanics},
	journal = {Journal of Computational Physics},
	volume = {244},
	year = {2013},
	pages = {4-21},
	doi = {10.1016/j.jcp.2012.09.015},
	author = {Krishnamurthy, Adarsh and Christopher T. {Villongco} and Chuang, Joyce and Lawrence R. {Frank} and Nigam, Vishal and Belezzuoli, Ernest and Stark, Paul and David E. {Krummen} and Narayan, Sanjiv and Jeffrey H. {Omens} and Andrew D. {McCulloch}}
}
@article {Simula.simula.1152,
	title = {Improvement in Pump Function With Endocardial Biventricular Pacing Increases With Activation Time at the Left Ventricular Pacing Site in Failing Canine Hearts},
	journal = {American Journal of Physiology - Heart and Circulatory Physiology},
	volume = {301},
	number = {4},
	year = {2011},
	pages = {H1447-H1455},
	publisher = {American Physiological Society},
	abstract = {Recently, attention has been focused on comparing left ventricular (LV) endocardial (ENDO) with epicardial (EPI) pacing for cardiac resynchronization therapy. However, the effects of ENDO and EPI lead placement at multiple sites have not been studied in failing hearts. We hypothesized that differences in the improvement of ventricular function due to ENDO vs. EPI pacing in dyssynchronous (DYSS) heart failure may depend on the position of the LV lead in relation to the original activation pattern. In six nonfailing and six failing dogs, electrical DYSS was created by atrioventricular sequential pacing of the right ventricular apex. ENDO was compared with EPI biventricular pacing at five LV sites. In failing hearts, increases in the maximum rate of LV pressure change (dP/dt; r = 0.64), ejection fraction (r = 0.49), and minimum dP/dt (r = 0.51), relative to DYSS, were positively correlated (P \&lt; 0.01) with activation time at the LV pacing site during ENDO but not EPI pacing. ENDO pacing at sites with longer activation delays led to greater improvements in hemodynamic parameters and was associated with an overall reduction in electrical DYSS compared with EPI pacing (P \&lt; 0.05). These findings were qualitatively similar for nonfailing hearts. Improvement in hemodynamic function increased with activation time at the LV pacing site during ENDO but not EPI pacing. At the anterolateral wall, end-systolic transmural function was greater with local ENDO compared with EPI pacing. ENDO pacing and intrinsic activation delay may have important implications for management of DYSS heart failure.},
	doi = {10.1152/ajpheart.00295.2011},
	author = {Elliot J. {Howard} and James W. {Covell} and Lawrence J. {Mulligan} and Andrew D. {McCulloch} and Jeffrey H. {Omens}}
}
@article {Simula.sc.1192,
	title = {Cardiac Myocyte Force Development During Differentiation and Maturation},
	journal = {Annals of the New York Academy of Sciences},
	volume = {1188},
	number = {1},
	year = {2010},
	pages = {121-127},
	publisher = {NCBI},
	doi = {10.1111/j.1749-6632.2009.05091.x},
	author = {Jeffrey G. {Jacot} and Kita-Matsuo, Hiroko and Karen A. {Wei} and H. S. Vincent {Chen} and Jeffrey H. {Omens} and Mercola, Mark and Andrew D. {McCulloch}}
}
@article {Simula.sc.1188,
	title = {Determination of Three-Dimensional Ventricular Strain Distributions in Gene-Targeted Mice Using Tagged MRI},
	journal = {Magnetic Resonance in Medicine},
	volume = {64},
	number = {5},
	year = {2010},
	pages = {1281-1288},
	publisher = {John Wiley \& Sons},
	doi = {10.1002/mrm.22547},
	author = {Zemljic-Harpf, Alice and Robert S. {Ross} and Lawrence R. {Frank} and Andrew D. {McCulloch} and Jeffrey H. {Omens}}
}
@article {Simula.sc.1190,
	title = {Ventricular Dilation and Electrical Dyssynchrony Synergistically Increase Regional Mechanical Non-Uniformity But Not Mechanical Dyssynchrony: a Computational Model},
	journal = {Circulation: Heart Failure},
	volume = {3},
	number = {4},
	year = {2010},
	pages = {528-536},
	publisher = {American Heart Association},
	doi = {10.1161/CIRCHEARTFAILURE.109.862144},
	author = {Jeffrey H. {Omens} and Andrew D. {McCulloch} and Lawrence J. {Mulligan}}
}
@article {Simula.sc.930,
	title = {Discovering Regulators of the Drosophila Cardiac Hypoxia Response Using Automated Phenotyping Technology},
	journal = {Annals of the New York Academy of Sciences},
	volume = {1123},
	year = {2008},
	month = {March},
	pages = {169-177},
	abstract = {Necrosis and apoptosis during acute myocardial infarction result in part from the inability of hy- poxic cardiac myocytes to match ATP supply and demand. In contrast, hypoxia-tolerant organisms, such as Drosophila, can rapidly regulate cellular metabolism to survive large oxygen fluctuations. A genetic screen of fly heart function during acute hypoxia can be an unbiased way to discover essential enzymes and novel signaling proteins involved in this response. We have developed a pro- totype to show proof of concept for a genome-scale screen, using computer automation to rapidly gather in vivo hypoxic heart data in adult Drosophila. Our system automatically anesthetizes flies, deposits them on a microscope slide, and locates the heart organ of each fly. The system then applies a hypoxia stimulus, acquires time-space (M-mode) images of the heart walls, and analyzes heart rate and rhythm. The prototype can produce highly controlled measurements of up to 55 flies per hour, which we demonstrated by characterizing the effect of temperature, oxygen con- tent, and genetic background on the hypoxia response. We discuss the possible applications of a genome-wide cardiac phenotype data set in systems biology analyses of hypoxic metabolism, using genome-scale interaction networks and constraint-based metabolic models.},
	doi = {10.1196/annals.1420.019},
	author = {Jacob D. {Feala} and Jeffrey H. {Omens} and Paternostro, Giovanni and Andrew D. {McCulloch}}
}
