Zahra Derafshi
University of Illinois at Chicago
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Featured researches published by Zahra Derafshi.
Investigative Ophthalmology & Visual Science | 2017
Zahra Derafshi; Brian Kunzer; Emily M. Mugler; Nataliya Rokhmanova; Dong Wook Park; Hadi Tajalli; Krithi Shetty; Zhenqiang Ma; Justin C. Williams; John R. Hetling
Purpose Conventional full-field flash electroretinography (ERG) yields a single response waveform that can be useful in the early detection and diagnosis of many diseases affecting the retina. It is an objective measurement that probes the entire retina. However, localized areas of dysfunction have relatively small influence on ERG amplitudes compared to normal ranges. Here we evaluate the use of corneal potential maps obtained in response to full-field flash stimuli for sensitivity to local areas of retinal damage. Methods A contact lens electrode array was used to record 25 ERG waveforms simultaneously following saturating full-field flash stimuli (multi-electrode electroretinography, meERG) in rats. Waveforms were evaluated for a-wave and b-wave amplitudes; these values were normalized and further evaluated for spatial differences across the corneal surface. Cluster analysis and a support vector machine approach were used to classify meERG responses from healthy eyes and eyes with central (photocoagulation) or peripheral (cryocoagulation) experimental lesions. Results A normative normalized corneal potential map was obtained from healthy eyes (n = 26). Corneal potential maps from eyes with experimental lesions (n = 13) could be classified with sensitivity and specificity of approximately 80% based solely on the normalized spatial distribution of corneal potentials, that is, with no knowledge of absolute amplitudes. Conclusions Corneal potential maps obtained in response to full-field flash stimuli are altered in eyes with scotomas in the central and far-peripheral retina. The meERG approach yields useful spatial information following a single brief flash, analogous to body-surface potential maps used to evaluate heart and brain.
Translational Vision Science & Technology | 2018
Shresta Patangay; Zahra Derafshi; Thasarat S. Vajaranant; Jason C. Park; Elham Ghahari; J. Jason McAnany; John R. Hetling
Purpose The pattern electroretinogram (pERG) response reflects, in part, ganglion cell function. However, probing retinal ganglion cell (RGC) function in the mid- and far peripheral retina is difficult with conventional flat-panel pERG stimulus sources. A pattern stimulus source is presented for probing the peripheral retina. Peripheral pERG (ppERG) responses were evaluated versus luminance, reversal rate, and field subtended, and were compared with conventional pERG in healthy eyes. Methods Eleven normally-sighted subjects were recruited. A hemispherical surface was used to present a reversing checkerboard pattern to the peripheral retina, from approximately 35° to 85° of visual field, in all directions. Responses to stimuli presented to peripheral field sectors (superior, nasal, inferior, temporal) were also recorded. Conventional pERG responses were recorded on the same day. Amplitudes and implicit times of waveform peaks were evaluated. Results Robust pERG responses from peripheral retina resemble conventional pERG responses but with shorter implicit times and reduced positive component. Responses to high-luminance patterns include high-frequency components resembling flash ERG oscillatory potentials. Negative response component amplitudes increased with increasing pattern luminance, and decreased with increasing reversal rate. Conclusions Peripheral-field pERG responses are robust and repeatable; the unique response properties reflect differences between central and peripheral retina. Field-sector response ratios can be used to probe for sectoral dysfunction associated with disease. Translational Relevance The ppERG approach provides direct measurement of proximal retinal function beyond the fields probed by conventional perimetry and pERG, providing access to a relatively under studied part of the retina relevant to early stage glaucoma.
IEEE Transactions on Biomedical Engineering | 2018
Ashley N. Selner; Zahra Derafshi; Brian Kunzer; John R. Hetling
Objective: The information derived from the electroretinogram (ERG), especially with regard to local areas of retinal dysfunction or therapeutic rescue, can be enhanced by an increased understanding of the relationship between local retinal current sources and local ERG potentials measured at the cornea. A critical step in this direction is the development of a robust bioelectric field model of the ERG. Methods: A finite-element model was created to simulate ERG potentials at the cornea resulting from physiologically relevant transretinal currents. A magnetic resonance image of a rat eye was segmented to define all major ocular structures, tissues were assigned conductivity values from the literature. The model was optimized to multi-electrode ERG (meERG) data recorded in healthy rat eyes, and validated with meERG data from eyes with experimental lesions in peripheral retina. Results: Following optimization, the simulated distribution of corneal potentials was in good agreement with measured values; residual error was comparable to the average difference of individual eyes from the measured mean. The model predicted the corneal potential distribution for eight eyes with experimental lesions with similar accuracy, and a measure of pre- to post-lesion changes in corneal potential distribution was well correlated with the location of the lesion. Conclusion: An eye model with high anatomical accuracy was successfully validated against a robust dataset. Significance: This model can now be used for optimization of ERG electrode design, and to support functional mapping of the retina from meERG data via solving the inverse bioelectric source problem.
Experimental Eye Research | 2015
Rajni Parthasarathy; K. Martin Chow; Zahra Derafshi; Michael P. Fautsch; John R. Hetling; David W. Rodgers; Louis B. Hersh; David R. Pepperberg
Documenta Ophthalmologica | 2014
Yelena Krakova; Hadi Tajalli; Sanitta Thongpang; Zahra Derafshi; T. Ban; S. Rahmani; Ashley N. Selner; Amani Al-Tarouti; Justin C. Williams; John R. Hetling
Investigative Ophthalmology & Visual Science | 2017
John R. Hetling; Zahra Derafshi; Brian Kunzer
Investigative Ophthalmology & Visual Science | 2016
Shresta Patangay; Zahra Derafshi; Jason C. Park; Elham Ghahari; Thasarat S. Vajaranant; J. Jason McAnany; John R. Hetling
Investigative Ophthalmology & Visual Science | 2015
Shresta Patangay; Zahra Derafshi; Jason C. Park; Thasarat S. Vajaranant; J. Jason McAnany; John R. Hetling
Investigative Ophthalmology & Visual Science | 2015
Rajni Parthasarathy; K. Martin Chow; Zahra Derafshi; Michael P. Fautsch; John R. Hetling; David W. Rodgers; Louis B. Hersh; David R. Pepperberg
Investigative Ophthalmology & Visual Science | 2014
Zahra Derafshi; Hadi Tajalli; Sanitta Thongpang; Justin C. Williams; John R. Hetling