Analytic modeling of conductively anisotropic neural tissue.
Benjamin L SchwartzMunish ChauhanRosalind J SadleirPublished in: Journal of applied physics (2018)
The abdominal ganglion of the Aplysia californica is an established in vitro model for studying neuroelectric behavior in the presence of an applied electrical current and recently used in studies of magnetic resonance electrical impedance tomography (MREIT) which allows for quantitative visualization of spatially distributed current and magnetic flux densities. Understanding the impact the Aplysia geometry and anisotropic conductivity have on applied electromagnetic fields is central to intepreting and refining MREIT data and protocols, respectively. Here we present a simplified bidomain model of an in vitro experimental preparation of the Aplysia abdominal ganglion, describing the tissue as a radially anisotropic sphere with equal anisotropy ratios, i.e., where radial conductivities in both intra- and extra-cellular regions are ten times that of their polar and azimuthal conductivities. The fully three dimensional problem is validated through comparisons with limiting examples of 2D isotropic analyses. Results may be useful in validating finite element models of MREIT experiments and have broader relevance to analysis of MREIT data obtained from complex neural architecture in the human brain.
Keyphrases
- finite element
- magnetic resonance
- electronic health record
- neuropathic pain
- molecularly imprinted
- big data
- high resolution
- magnetic resonance imaging
- contrast enhanced
- ionic liquid
- spinal cord
- high frequency
- machine learning
- ultrasound guided
- electron microscopy
- case control
- optical coherence tomography
- deep learning
- artificial intelligence