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Three-dimensional electromagnetic model of the human eye: advances towards the optimisation of electroretinographic signal detection

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Abstract

Classical electromagnetic theory is used to examine the topographical variation in electrical potentials over the corneal surface resulting from specific retinal stimuli. Results from a three-dimensional mathematical model show that over 97% of calculated electromagnetic field potentials lie within 3% of previous analytical model data for an axially symmetric case. Maps of corneal potentials are produced that are shown to be characteristic of specific retinal stimuli and location. The maximum variation in corneal potential for a full field global stimulus is found to be approximately 1%. This is considered encouraging, as current electrophysiology techniques measure ocular potentials from a single corneal or scleral site, the position of which is often difficult to localise and reproduce. The model is used to simulate both central and peripheral stimuli and scotoma conditions. A 20° central scotoma simulation shows an overall reduction in central corneal potential of only 3%, whereas peripheral stimuli are found to cause up to 10% variations in this potential. There is therefore a possibility that a single recording site for multifocal retinal stimulation is not ideal. These data may be used to suggest more appropriate electrode recording positions for maximum signal recovery, not least in optimising signal detection for multi-focal electroretinography stimulation.

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References

  • Barber, C. (1994): ‘Electrodes and the recording of the human electroretinogram (ERG)’,Int. J. Psychophysiol.,16, pp. 131–136

    Article  Google Scholar 

  • Curcio, C. A., Sloan, K. R., andMeyers, D. (1989): ‘Computer methods for sampling, reconstruction, display and analysis of retinal whole mounts’,Vis. Res.,29, pp. 529–540

    Article  Google Scholar 

  • Doslak, M. J. (1978): ‘The effects of variations of the conducting media inhomogeneities on the electroretinogram’. PhD thesis, Case Western Reserve University, Cleveland, Ohio

    Google Scholar 

  • Doslak, M. J., Plonsey, R., andThomas, C. W. (1981): ‘Numerical solution of the bio-electric field of the ERG’,Med. Biol. Eng. Comp.,19, pp. 149–156

    Article  Google Scholar 

  • Doslak, M. J., andHsu, P. C. (1984): ‘Application of a bioelectric field model of the ERG to the effect of vitreous haemorrhage’,Med. Biol. Eng. Comp.,22, pp. 552–557

    Article  Google Scholar 

  • Doslak, M. J. (1989): ‘Quantitative analysis of the insulating effect of silicone oil on the electroretinogram’,Med. Biol. Eng. Comp.,27 pp. 254–259

    Article  Google Scholar 

  • Frank, E. (1952): ‘Electric potential produced by two point current sources in a homogeneous conducting sphere’,J. Appl. Phys.,23, pp. 1225–1228

    Article  MATH  MathSciNet  Google Scholar 

  • Fricker, S. J., andSanders, J. J. (1974): ‘A new method of come electroretinography: the rapid random flash response’,Investig. Ophthalmol.,14, pp. 131–137

    Google Scholar 

  • Geddes, L. A., andBaker, L. E. (1967): ‘The specific resistance of biological material—a compendium of data for the biomedical engineer and physiologist’,Med. Biol. Eng.,5, pp. 271–293

    Article  Google Scholar 

  • Hood, D. C., Greenstein, V., Frishman, L., Holopigian, K., Viswanathan, S., Seiple, W., Ahmed, J., andRobson, J. G. (1999): ‘Identifying inner retinal contributions to the human multifocal ERG’,Vis. Res.,39, pp. 2285–2291

    Article  Google Scholar 

  • Keating, D., Parks, S., Evans, A. L., Williamson, T. H., Elliott, A. T., andJay, J. L. (1997): ‘The effect of filter bandwidth on the multifocal electroretinogram’,Documenta Ophthalmologica,92, pp. 291–300

    Article  Google Scholar 

  • Krakau, C. E. T. (1958): ‘On the potential field of the rabbit electroretinogram’,Acta Ophthalmologica,36, pp. 183–207

    Article  Google Scholar 

  • Krause, A. (1934): ‘The biochemistry of the eye’ Balitmore: The Johns Hopkins Press 1934. Cited by Sundmark, E. (1959): ‘The Contact Glass in Human Electroretinography’,Acta. Ophth. Suppl.,52, pp. 1–40

    Google Scholar 

  • Ogden, T. E., andIto, H. (1971): ‘Avian retina. II An evaluation of retinal electrical anisotropy’,J. Neurophysiol.,34, pp. 367–373

    Google Scholar 

  • Parks, S., Keating, D., Evans, A. L., Williamson, T. H., Jay, J. L., andElliott, A. T. (1997): ‘Comparison of repeatability of the multifocal electroretinogram and Humphrey perimeter’,Documenta Ophthalmol.,92, pp. 281–289

    Article  Google Scholar 

  • Plonsey, R. (1984): ‘Quantitative formulations of electrophysiological sources of potential fields in volume conductors’,IEEE Trans.,BME-31, pp. 868–872

    Google Scholar 

  • Straatsma, B. R., Hall, M. O., Allen, R. A., andCrescitelli F. (Eds.) (1969): “The retina’ (University of California Press, Los Angeles)

    Google Scholar 

  • Sutter, E. E., andTran, D. (1992): ‘The field topography of ERG components in man-1. The photopic luminance response’,Vis. Res.,32, pp. 433–446

    Article  Google Scholar 

  • Sutter, E. E., andBearse, M. A. Jr. (1999): ‘The optic nerve head component of the human ERG’,Vis. Res.,39, pp. 419–436

    Article  Google Scholar 

  • Wolff, E. (1976): ‘Anatomy of the eye and orbit’ (Hodder & Stoughton Publishers, 1997)

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Correspondence to H. M. Job.

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Job, H.M., Keating, D., Evans, A.L. et al. Three-dimensional electromagnetic model of the human eye: advances towards the optimisation of electroretinographic signal detection. Med. Biol. Eng. Comput. 37, 710–719 (1999). https://doi.org/10.1007/BF02513372

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  • DOI: https://doi.org/10.1007/BF02513372

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