ArticleMagnetic resonance in medicine2019
Functional magnetic resonance electrical impedance tomography (fMREIT) sensitivity analysis using an active bidomain finite-element model of neural tissue.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Clinical Applications of Electrical Conductivity Imaging Using MRI.Journal of magnetic resonance imaging : JMRI · 2026Review
- Emerging trends and hot spots on electrical impedance tomography extrapulmonary applications.Heliyon · 2022Article
- SNR-Enhanced, Rapid Electrical Conductivity Mapping Using Echo-Shifted MRI.Tomography (Ann Arbor, Mich.) · 2022Article
- Electromagnetic Properties and the Basis for CDI, MREIT, and EPT.Advances in experimental medicine and biology · 2022Article
- Use of an invertebrate animal model (Frontiers in neuroscience · 2022Review
- Low frequency conductivity reconstruction based on a single current injection via MREIT.Physics in medicine and biology · 2020Article
- Analytic modeling of conductively anisotropic neural tissue.Journal of applied physics · 2018Article
- Direct detection of neural activity in vitro using magnetic resonance electrical impedance tomography (MREIT).NeuroImage · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purposeA direct method of imaging neural activity was simulated to determine typical signal sizes.
methodsAn 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.
resultsModeling-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.
conclusionBecause 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.
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Registered trials
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