Change of short-term memory effect in acute ischemic ventricular myocardium: A computational study

  • Xi Mei
  • , Jing Wang
  • , Hong Zhang
  • , Zhi cheng Liu
  • , Zhen xi Zhang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The ionic mechanism of change in short-term memory (STM) during acute myocardial ischemia has not been well understood. In this paper, an advanced guinea pig ventricular model developed by Luo and Rudy was used to investigate STM property of ischemic ventricular myocardium. STM response was calculated by testing the time to reach steady-state action potential duration (APD) after an abrupt shortening of basic cycling length (BCL) in the pacing protocol. Electrical restitution curves (RCs), which can simultaneously visualize multiple aspects of APD restitution and STM, were obtained from dynamic and local S1S2 restitution portrait (RP), which consist of a longer interval stimulus (S1) and a shorter interval stimulus (S2). The angle between dynamic RC and local S1S2 RC reflects the amount of STM. Our results indicated that compared with control (normal) condition, time constant of STM response in the ischemic condition decreased significantly. Meanwhile the angle which reflects STM amount is less in ischemic model than that in control model. By tracking the effect of ischemia on intracellular ion concentration and membrane currents, we declared that changes in membrane currents caused by ischemia exert subtle influences on STM; it is only the decline of intracellular calcium concentration that give rise to the most decrement of STM.

Original languageEnglish
Pages (from-to)690-696
Number of pages7
JournalComputer Methods and Programs in Biomedicine
Volume113
Issue number2
DOIs
StatePublished - Feb 2014

Keywords

  • Computer modeling
  • Ionic mechanism
  • Myocardial ischemia
  • Short-term memory

Fingerprint

Dive into the research topics of 'Change of short-term memory effect in acute ischemic ventricular myocardium: A computational study'. Together they form a unique fingerprint.

Cite this