Evidence map›Paper›PMID 39097661›Full record

ArticleScientific reports2024

Validation of conductivity tensor imaging against diffusion tensor magnetic resonance electrical impedance tomography.

S Z K Sajib, M Chauhan, S Sahu, E Boakye, R J Sadleir

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Clinical Applications of Electrical Conductivity Imaging Using MRI.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

S Z K SajibSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA.
M ChauhanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA.
S SahuSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA.
E BoakyeSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA.
R J SadleirSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA. rsadleir@asu.edu.

Funding

Mechanism and dosimetry exploration in transcranial electrical stimulation using magnetic resonance current mapping methods.RF1MH114290 · NIMH · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI SADLEIR, ROSALIND J · 2017 to 2017
$2.0M
NIH HHS 1RF1MH114290-01NIMH NIH HHS RF1 MH114290
6 · The paper itself

Abstract

Diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT) and electrodeless conductivity tensor imaging (CTI) are two emerging modalities that can quantify low-frequency tissue anisotropic conductivity properties by assuming similar properties underlie ionic mobility and water diffusion. While both methods have potential applications to estimating neuro-modulation fields or formulating forward models used for electrical source imaging, a direct comparison of the two modalities has not yet been performed in-vitro or in-vivo. Therefore, the aim of this study was to test the equivalence of these two modalities. We scanned a tissue phantom and the head of human subject using DT-MREIT and CTI protocols and reconstructed conductivity tensor and effective low frequency conductivities. We found both gray and white matter conductivities recovered by each technique were equivalent within 0.05 S/m. Both DT-MREIT and CTI require multiple processing steps, and we further assess the effects of each factor on reconstructions and evaluate the extent to which different measurement mechanisms potentially cause discrepancies between the two methods. Finally, we discuss the implications for spectral models of measuring conductivity using these techniques. The study further establishes the credibility of CTI as an electrodeless non-invasive method of measuring low frequency conductivity properties.

Indexed as

Diffusion Tensor ImagingElectric ConductivityElectric ImpedancePhantoms, ImagingAdultBrainHumansImage Processing, Computer-AssistedTomography

Identifiers

PMID39097661
PMCPMC11297941

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.