Evidence map›Paper›PMID 27223656›Full record

ArticlePhysics in medicine and biology2016

On the computation of a retina resistivity profile for applications in multi-scale modeling of electrical stimulation and absorption.

Kyle Loizos, Anil Kumar RamRakhyani, James Anderson, Robert Marc, Gianluca Lazzi

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Impact of Retinal Degeneration on Response of ON and OFF Cone Bipolar Cells to Electrical Stimulation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023
    Article
  5. Article
  6. Modeling ON Cone Bipolar Cells for Electrical Stimulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Increasing Electrical Stimulation Efficacy in Degenerated Retina: Stimulus Waveform Design in a Multiscale Computational Model.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2018
    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.

Kyle LoizosDepartment of Electrical and Computer Engineering, University of Utah, UT 84112, USA.
Anil Kumar RamRakhyaniDepartment of Electrical and Computer Engineering, University of Utah, UT 84112, USA.
James AndersonJohn A Moran Eye Center, University of Utah School of Medicine, UT 84112, USA.
Robert MarcJohn A Moran Eye Center, University of Utah School of Medicine, UT 84112, USA.
Gianluca LazziDepartment of Electrical and Computer Engineering, University of Utah, UT 84112, USA.

Funding

University of Utah, Core Vision Research GrantP30EY014800 · NEI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Bryan William Jones · 2005 to 2026
$14.6M
STRUCTURAL NEUROCHEMISTRY OF RETINAL CIRCUITSR01EY002576 · NEI · UNIVERSITY OF UTAH · PI MARC, ROBERT E · 1985 to 2016
$8.0M
Retinal RemodelingR01EY015128 · NEI · UNIVERSITY OF UTAH · PI JONES, BRYAN WILLIAM · 2004 to 2021
$7.0M
Predictive modeling of bioelectric activity on mammalian multilayered neuronal stU01GM104604 · NIGMS · UNIVERSITY OF UTAH · PI BERGER, THEODORE W., LAZZI, GIANLUCA · 2012 to 2016
$2.8M
NEI NIH HHS P30 EY014800NEI NIH HHS R01 EY002576NEI NIH HHS R01 EY015128NIGMS NIH HHS U01 GM104604
6 · The paper itself

Abstract

This study proposes a methodology for computationally estimating resistive properties of tissue in multi-scale computational models, used for studying the interaction of electromagnetic fields with neural tissue, with applications to both dosimetry and neuroprosthetics. Traditionally, models at bulk tissue- and cellular-level scales are solved independently, linking resulting voltage from existing resistive tissue-scale models as extracellular sources to cellular models. This allows for solving the effects that external electric fields have on cellular activity. There are two major limitations to this approach: first, the resistive properties of the tissue need to be chosen, of which there are contradicting measurements in literature; second, the measurements of resistivity themselves may be inaccurate, leading to the mentioned contradicting results found across different studies. Our proposed methodology allows for constructing computed resistivity profiles using knowledge of only the neural morphology within the multi-scale model, resulting in a practical implementation of the effective medium theory; this bypasses concerns regarding the choice of resistive properties and accuracy of measurement setups. A multi-scale model of retina is constructed with an external electrode to serve as a test bench for analyzing existing and resulting resistivity profiles, and validation is presented through the reconstruction of a published resistivity profile of retina tissue. Results include a computed resistivity profile of retina tissue for use with a retina multi-scale model used to analyze effects of external electric fields on neural activity.

Indexed as

Absorption, RadiationElectromagnetic FieldsElectric StimulationElectrodesHumansModels, NeurologicalNeuronsRadiation DosageRetina

Identifiers

PMID27223656
PMCPMC4916774

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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.