Literature DB >> 29770490

Functional magnetic resonance electrical impedance tomography (fMREIT) sensitivity analysis using an active bidomain finite-element model of neural tissue.

Rosalind J Sadleir1, Fanrui Fu1, Munish Chauhan1.   

Abstract

PURPOSE: A direct method of imaging neural activity was simulated to determine typical signal sizes.
METHODS: An active bidomain finite-element model was used to estimate approximate perturbations in MR phase data as a result of neural tissue activity, and when an external MR electrical impedance tomography imaging current was added to the region containing neural current sources.
RESULTS: Modeling-predicted, activity-related conductivity changes should produce measurable differential phase signals in practical MR electrical impedance tomography experiments conducted at moderate resolution at noise levels typical of high field systems. The primary dependence of MR electrical impedance tomography phase contrast on membrane conductivity changes, and not source strength, was demonstrated.
CONCLUSION: Because the injected imaging current may also affect the level of activity in the tissue of interest, this technique can be used synergistically with neuromodulation techniques such as deep brain stimulation, to examine mechanisms of action.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  brain imaging; deep brain stimulation; electrical conductivity; electrophysiology; functional magnetic resonance imaging

Mesh:

Substances:

Year:  2018        PMID: 29770490      PMCID: PMC6239993          DOI: 10.1002/mrm.27351

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  34 in total

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Authors:  F Rattay
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8.  Multishot echo-planar MREIT for fast imaging of conductivity, current density, and electric field distributions.

Authors:  Munish Chauhan; Rohini Vidya Shankar; Neeta Ashok Kumar; Vikram D Kodibagkar; Rosalind Sadleir
Journal:  Magn Reson Med       Date:  2017-02-16       Impact factor: 4.668

9.  Modeling magnitude and phase neuronal current MRI signal dependence on echo time.

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Journal:  Magn Reson Med       Date:  2010-12       Impact factor: 4.668

10.  Octopus visual system: a functional MRI model for detecting neuronal electric currents without a blood-oxygen-level-dependent confound.

Authors:  Xia Jiang; Hanbing Lu; Shuichi Shigeno; Li-Hai Tan; Yihong Yang; Clifton W Ragsdale; Jia-Hong Gao
Journal:  Magn Reson Med       Date:  2013-12-02       Impact factor: 4.668

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  4 in total

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2.  Analytic modeling of conductively anisotropic neural tissue.

Authors:  Benjamin L Schwartz; Munish Chauhan; Rosalind J Sadleir
Journal:  J Appl Phys       Date:  2018-08-10       Impact factor: 2.546

3.  Low frequency conductivity reconstruction based on a single current injection via MREIT.

Authors:  Yizhuang Song; Saurav Z K Sajib; Haiyang Wang; Hyeuknam Kwon; Munish Chauhan; Jin Keun Seo; Rosalind Sadleir
Journal:  Phys Med Biol       Date:  2020-11-17       Impact factor: 3.609

4.  SNR-Enhanced, Rapid Electrical Conductivity Mapping Using Echo-Shifted MRI.

Authors:  Hyunyeol Lee; Jaeseok Park
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