The DOI matches its Crossref record.
Anisotropy, Fiber Curvature, and Bath Loading Effects on Activation in Thin and Thick Cardiac Tissue Preparations: Simulations in a Three‐Dimensional Bidomain Model
Abstract
Anisotropy Effects in a 3D Bidomain. Introduction: A modeling study is presented to explore the effects of tissue conductivity, fiber orientation, and presence of an adjoining extracellular volume conductor on electrical conduction in cardiac muscle. Simulated results are compared with those of classical in vitro experiments on superfused thin layer preparations and on whole hearts. Methods and Results: The tissue is modeled as a three‐dimensional bidomain block adjoining an isotropic bath. In the thin layer model, the fibers are assumed parallel. In the thick block model, fiber rotation, curvature, and tipping are incorporated. Results from the thin layer model explain experimental observations that the rate of rise of the entire action potential upstroke is faster and the magnitude of the extracellular potential is smaller across fibers than along fibers in a uniformly propagating front. The simulation identified that this behavior only arises in tissue with unequal anisotropy in the two spaces and adjoining an extracellular hath. Simulated conduction and potential distributions in the thick block model are shown to well approximate experimental maps. The potentials are sensitive to changes in the fiber orientations. A slight 5° tipping of intramural fibers out of the planes parallel to the epicardium and endocardium will lead to an asymmetry of the magnitudes of the positive regions. In addition, the introduction of fiber curvature leads to more realistic isochrone and extracellular potential distributions. The orientation of the central negative region of the extracellular potential is shown to be determined by the average of the fiber direction at the plane of pacing and the plane of recording. Conclusions: The simulations demonstrate the sensitivity of spread of activation and potential time courses and distributions to the underlying electrical properties in both thick and thin slabs. The bidomain model is shown to be a useful representation of cardiac tissue for interpreting experimental data of activation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Basic Mechanisms of Cardiac Impulse Propagation and Associated Arrhythmias
KLÉBER, A. G., & RUDY, Y. (2004) · Physiological Reviews · doi:10.1152/physrev.00025.2003 · Cited by 1,083
Potse, M., Dube, B., Richer, J., Vinet, A., & Gulrajani, R. M. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.880875 · Cited by 470
The role of cardiac tissue alignment in modulating electrical function
CHUNG, C., BIEN, H., & ENTCHEVA, E. (2007) · Journal of Cardiovascular Electrophysiology · doi:10.1111/j.1540-8167.2007.00959.x · Cited by 74
Metadata
- Authors
- HENRIQUEZ, C. S., MUZIKANT, A. L., & SMOAK, C. K.
- Venue
- Journal of Cardiovascular Electrophysiology
- Publisher
- Wiley
- Published
- 1996-05
- Volume
- 7
- Issue
- 5
- Pages
- 424-444
- ISSN
- 1045-3873 (ISSN-L)
- 1540-8167
- OpenAlex
- W1547703993
- Cited by
- 164
- References
- 0
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Anisotropy, Fiber Curvature, and Bath Loading Effects on Activation in Thin and Thick Cardiac Tissue Preparations: Simulations in a Three‐Dimensional Bidomain Model. https://app.cochat.ai/papers/10.1111/j.1540-8167.1996.tb00548.x
- The paper
- HENRIQUEZ, C. S., MUZIKANT, A. L., & SMOAK, C. K. (1996). Anisotropy, Fiber Curvature, and Bath Loading Effects on Activation in Thin and Thick Cardiac Tissue Preparations: Simulations in a Three‐Dimensional Bidomain Model. Journal of Cardiovascular Electrophysiology. https://doi.org/10.1111/j.1540-8167.1996.tb00548.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.