Literature DB >> 30147144

Analytic modeling of conductively anisotropic neural tissue.

Benjamin L Schwartz1, Munish Chauhan1, Rosalind J Sadleir1.   

Abstract

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.

Entities:  

Year:  2018        PMID: 30147144      PMCID: PMC6086692          DOI: 10.1063/1.5036659

Source DB:  PubMed          Journal:  J Appl Phys        ISSN: 0021-8979            Impact factor:   2.546


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Authors:  Rosalind J Sadleir; Fanrui Fu; Corey Falgas; Stephen Holland; May Boggess; Samuel C Grant; Eung Je Woo
Journal:  Neuroimage       Date:  2017-08-14       Impact factor: 6.556

8.  Feasibility of magnetic resonance electrical impedance tomography (MREIT) conductivity imaging to evaluate brain abscess lesion: in vivo canine model.

Authors:  Tong In Oh; Woo Chul Jeong; Alistair McEwan; Hee Myung Park; Hyung Joong Kim; Oh In Kwon; Eung Je Woo
Journal:  J Magn Reson Imaging       Date:  2012-12-12       Impact factor: 4.813

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Authors:  Rosalind J Sadleir; Fanrui Fu; Munish Chauhan
Journal:  Magn Reson Med       Date:  2018-05-16       Impact factor: 4.668

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Authors:  Munish Chauhan; Aprinda Indahlastari; Aditya K Kasinadhuni; Michael Schar; Thomas H Mareci; Rosalind J Sadleir
Journal:  IEEE Trans Med Imaging       Date:  2018-04       Impact factor: 10.048

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