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Electrical Stimulation to Identify Neural Elements on the Heart: Their Role in Atrial Fibrillation

Overview of attention for article published in Journal of Interventional Cardiac Electrophysiology, August 2005
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Title
Electrical Stimulation to Identify Neural Elements on the Heart: Their Role in Atrial Fibrillation
Published in
Journal of Interventional Cardiac Electrophysiology, August 2005
DOI 10.1007/s10840-005-2492-2
Pubmed ID
Authors

Benjamin J. Scherlag, Hiroshi Nakagawa, Warren M. Jackman, William S. Yamanashi, Eugene Patterson, Sunny Po, Ralph Lazzara

Abstract

Anesthetized dogs were subjected to a right then left thoracotomy. Two modes of electrical stimulation were used to activate ganglionated plexi (GP) on the epicardium of the atria: (1) Near the base of each pulmonary vein (PV), trains of high frequency stimuli (HFS) were coupled to each atrial paced beat so as to fall within the refractory period to achieve nerve stimulation without atrial excitation; and (2) Continuous HFS was applied via plaque electrodes sutured to epicardial fat pads (containing a GP) near the right superior (RS) and left superior (LS) PVs. The chest was then closed. An ablation catheter, inserted percutaneously, was positioned fluoroscopically in the right atrium across from the epicardial plaque electrode near the RSPV. Transeptal puncture was used to place an ablation catheter at the LSPV-left atrial junction. HFS applied to each of the epicardial fat pads induced atrial fibrillation (AF) and also caused high grade AV block due to a strong parasympathetic effect on the AV node. Radiofrequency ablation from the right and left atrial endocardium abolished the vagal response to HFS delivered to the plaque electrodes on the fat pads close to the RSPV and LSPV, respectively.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Japan 1 <1%
Greece 1 <1%
Unknown 102 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 17%
Student > Ph. D. Student 16 15%
Student > Postgraduate 10 9%
Student > Doctoral Student 8 7%
Student > Master 8 7%
Other 24 22%
Unknown 24 22%
Readers by discipline Count As %
Medicine and Dentistry 55 50%
Agricultural and Biological Sciences 9 8%
Engineering 7 6%
Biochemistry, Genetics and Molecular Biology 3 3%
Neuroscience 2 2%
Other 5 5%
Unknown 28 26%