Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Alerts
  • Advertising
  • Job board
  • Subscribe
  • Contact
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Author's Takes
  • Reviews
    • View all reviews ...
    • Aging (Jul 2022)
    • Next-Generation Sequencing in Medicine (Jun 2022)
    • New Therapeutic Targets in Cardiovascular Diseases (Mar 2022)
    • Immunometabolism (Jan 2022)
    • Circadian Rhythm (Oct 2021)
    • Gut-Brain Axis (Jul 2021)
    • Tumor Microenvironment (Mar 2021)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Commentaries
    • Concise Communication
    • Editorials
    • Viewpoint
    • Top read articles
  • Clinical Medicine
  • JCI This Month
    • Current issue
    • Past issues

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Author's Takes
  • In-Press Preview
  • Commentaries
  • Concise Communication
  • Editorials
  • Viewpoint
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Alerts
  • Advertising
  • Job board
  • Subscribe
  • Contact
Insights into the molecular mechanisms of bradycardia-triggered arrhythmias in long QT-3 syndrome
Colleen E. Clancy, … , Michihiro Tateyama, Robert S. Kass
Colleen E. Clancy, … , Michihiro Tateyama, Robert S. Kass
Published November 1, 2002
Citation Information: J Clin Invest. 2002;110(9):1251-1262. https://doi.org/10.1172/JCI15928.
View: Text | PDF
Article Cardiology

Insights into the molecular mechanisms of bradycardia-triggered arrhythmias in long QT-3 syndrome

  • Text
  • PDF
Abstract

Research Article

Authors

Colleen E. Clancy, Michihiro Tateyama, Robert S. Kass

×

Figure 9

Options: View larger image (or click on image) Download as PowerPoint
Simulations predict that the burst mode dwell time, rather than latency ...
Simulations predict that the burst mode dwell time, rather than latency to burst, determines the stimulation-rate dependence of Isus. The figure illustrates the effect on Isus of changing the burst mode exit rates (open circles, 10–6 ms–1; dashes, 10–5 ms–1; filled diamonds, 10–4 ms–1) with fixed entry rates. In each panel, computations are shown for fast (interpulse interval, 20 milliseconds, left) and slow (interpulse interval, 1 second, right) stimulation rates (protocol described in Figure 8 legend). Isus at the end of each depolarization pulse (Isusn) is plotted as a percentage of Isus at the end of the first pulse (Isus1). The pulse-dependent reduction of Isus for each burst mode exit rate is unchanged regardless of the fixed entry rate (10–4 ms–1 in a, 10–5 ms–1 in b, and 10-6 ms–1 in c).

Copyright © 2022 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts