Published June 21, 2016 | Version v1
Journal article

Functionalized anatomical models for EM-neuron Interaction modeling

  • 1. Foundation for Research on Information Technologies in Society (IT'IS), Zeughausstr. 43, 8004 Zürich (Switzerland)
  • 2. Center for Devices and Radiological Health, Food and Drug Administration (FDA), Silver Spring, MD 20993 (United States)

Description

The understanding of interactions between electromagnetic (EM) fields and nerves are crucial in contexts ranging from therapeutic neurostimulation to low frequency EM exposure safety. To properly consider the impact of in vivo induced field inhomogeneity on non-linear neuronal dynamics, coupled EM-neuronal dynamics modeling is required. For that purpose, novel functionalized computable human phantoms have been developed. Their implementation and the systematic verification of the integrated anisotropic quasi-static EM solver and neuronal dynamics modeling functionality, based on the method of manufactured solutions and numerical reference data, is described. Electric and magnetic stimulation of the ulnar and sciatic nerve were modeled to help understanding a range of controversial issues related to the magnitude and optimal determination of strength-duration (SD) time constants. The results indicate the importance of considering the stimulation-specific inhomogeneous field distributions (especially at tissue interfaces), realistic models of non-linear neuronal dynamics, very short pulses, and suitable SD extrapolation models. These results and the functionalized computable phantom will influence and support the development of safe and effective neuroprosthetic devices and novel electroceuticals. Furthermore they will assist the evaluation of existing low frequency exposure standards for the entire population under all exposure conditions. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/0031-9155/61/12/4390

Additional details

Identifiers

Publishing Information

Journal Title
Physics in Medicine and Biology
Journal Volume
61
Journal Issue
12
Journal Page Range
p. 4390-4401
ISSN
0031-9155
CODEN
PHMBA7