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The Impact of Arterial Network Structure on Electrical Communication
Author(s) -
Tran Cam Ha T,
Vigmond Edward J,
Goldman Daniel,
Welsh Donald G
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.676.2
Subject(s) - computer science , biomedical engineering , medicine
The basis of electrical communication and its role in regulating vascular tone has have been successfully build on an examination of charge movement in isolated vessel segments. How electrical communication behaves in complex arterial networks remains elusive. The goal of this investigation was to examine the nature of electrical communication in arterial networks and to ascertain how charge distributes within these structures in normal and pathophysiological states. Our analysis began with simulations performed on an existing computational model expanded to form arterial networks ranging from 1–31 vessels. Initial simulations revealed that focal endothelial stimulation generated electrical responses that conducted to a variable degree along an unbranched vessel or across a single branch point depending on the designed structure. These predictions were consistent with observations from the mesenteric arteries and supported the idea that vessel length and branch points influence the conducted response by increasing electrical load. Further expansion of the virtual network to 31 branches revealed that electrical stimuli could ascend into proximal arteries if a sufficient number of distal arteries were simultaneously activated. Additional network analysis centered on the gap junctional conductance changes that occur during sepsis, hypertension and atherosclerosis, highlighted that each disease state uniquely affects electrical communication and consequently the nature of blood flow control. By synergistically employing computational modeling with experimentation, this study becomes the first to address how the physical structure of arterial network and its impact on electrical load influences electrical information in normal and diseased vessels.

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