Literature DB >> 10696706

Phase response curve based model of the SA node: simulation by two-dimensional array of pacemaker cells with randomly distributed cycle lengths.

S Abramovich-Sivan1, S Akselrod.   

Abstract

A simulation of the SA node is presented, based on a 2D array (15 x 15) model of randomly distributed pacemaker cells, interacting via a phase response curve (PRC). The model involves only the basic properties that play a direct role in the determination of the SA node rhythm: intrinsic cycle length and PRC. The PRC reflects the 'type' of interaction of each pacemaker cell with the outside world (neighbouring cells, external stimulus, etc.). A major outcome of this study is the demonstration that global dynamics and the degree of 'disorder' of the SA node are strongly affected by the cycle length distribution of the model, as well as spatial inhomogeneity in the cell-to-cell 'electrical' coupling (PRC). Those factors also determine the conduction velocity throughout the SA node and may therefore be responsible for anisotropic conduction. For example, lowering the PRC parameters (d and a) by 25% increases the array activation time from 46 to 126 ms. The model also responds appropriately to a perturbation such as a vagal pulse. This pulse produces a shift of the dominant pacemaker to another site in the array and a transient lengthening of the array cycle length, for example from 312 to 355 ms.

Mesh:

Year:  1999        PMID: 10696706     DOI: 10.1007/bf02513334

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  38 in total

1.  A time- and voltage-dependent potassium current in the rabbit sinoatrial node cell.

Authors:  A Noma; H Irisawa
Journal:  Pflugers Arch       Date:  1976-11-05       Impact factor: 3.657

2.  A PRC based model of a pacemaker cell: effect of vagal activity and investigation of the respiratory sinus arrhythmia.

Authors:  S Abramovich-Sivan; S Akselrod
Journal:  J Theor Biol       Date:  1998-05-21       Impact factor: 2.691

3.  A single pacemaker cell model based on the phase response curve.

Authors:  S Abramovich-Sivan; S Akselrod
Journal:  Biol Cybern       Date:  1998-07       Impact factor: 2.086

4.  Ion currents underlying sinoatrial node pacemaker activity: a new single cell mathematical model.

Authors:  S Dokos; B Celler; N Lovell
Journal:  J Theor Biol       Date:  1996-08-07       Impact factor: 2.691

5.  Dynamic vagal control of pacemaker activity in the mammalian sinoatrial node.

Authors:  J Jalife; V A Slenter; J J Salata; D C Michaels
Journal:  Circ Res       Date:  1983-06       Impact factor: 17.367

6.  Regional differences in the electrical activity of the rabbit sinus node.

Authors:  I Kodama; M R Boyett
Journal:  Pflugers Arch       Date:  1985-07       Impact factor: 3.657

7.  A mathematical model of electrophysiological activity in a bullfrog atrial cell.

Authors:  R L Rasmusson; J W Clark; W R Giles; K Robinson; R B Clark; E F Shibata; D L Campbell
Journal:  Am J Physiol       Date:  1990-08

8.  Effect of electrotonic potentials on pacemaker activity of canine Purkinje fibers in relation to parasystole.

Authors:  J Jalife; G K Moe
Journal:  Circ Res       Date:  1976-12       Impact factor: 17.367

9.  Demonstration of a widely distributed atrial pacemaker complex in the human heart.

Authors:  J P Boineau; T E Canavan; R B Schuessler; M E Cain; P B Corr; J L Cox
Journal:  Circulation       Date:  1988-06       Impact factor: 29.690

10.  The actions of ouabain on intercellular coupling and conduction velocity in mammalian ventricular muscle.

Authors:  R Weingart
Journal:  J Physiol       Date:  1977-01       Impact factor: 5.182

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  2 in total

Review 1.  What keeps us ticking? Sinoatrial node mechano-sensitivity: the grandfather clock of cardiac rhythm.

Authors:  Eilidh A MacDonald; T Alexander Quinn
Journal:  Biophys Rev       Date:  2021-09-15

2.  Chronotropic Modulation of the Source-Sink Relationship of Sinoatrial-Atrial Impulse Conduction and Its Significance to Initiation of AF: A One-Dimensional Model Study.

Authors:  Francesca Cacciani; Massimiliano Zaniboni
Journal:  Biomed Res Int       Date:  2015-07-01       Impact factor: 3.411

  2 in total

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