ArticleIEEE open journal of engineering in medicine and biology2020
A Patient-Specific Computational Framework for the Argus II Implant.
Article in IEEE open journal of engineering in medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Explainable machine learning predictions of perceptual sensitivity for retinal prostheses.Journal of neural engineering · 2024Article
- Retinal prosthesis edge detection (RPED) algorithm: Low-power and improved visual acuity strategy for artificial retinal implants.PloS one · 2024Article
- Patient-specific computational models of retinal prostheses.Scientific reports · 2023Article
- Inference of Electrical Stimulation Sensitivity from Recorded Activity of Primate Retinal Ganglion Cells.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Modeling extracellular stimulation of retinal ganglion cells: theoretical and practical aspects.Journal of neural engineering · 2023Article
- Dorsal Root Ganglion Stimulation for Chronic Pain: Hypothesized Mechanisms of Action.The journal of pain · 2022Review
- Morphological Factors that Underlie Neural Sensitivity to Stimulation in the Retina.Advanced nanobiomed research · 2021Article
- A Computational Model of Phosphene Appearance for Epiretinal Prostheses.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
- Real-Time Optimization of Retinal Ganglion Cell Spatial Activity in Response to Epiretinal Stimulation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
goalRetinal prosthesis performance is limited by the variability of elicited phosphenes. The stimulating electrode's position with respect to retinal ganglion cells (RGCs) affects both perceptual threshold and phosphene shape. We created a modeling framework incorporating patient-specific anatomy and electrode location to investigate RGC activation and predict inter-electrode differences for one Argus II user.
methodsWe used ocular imaging to build a three-dimensional finite element model characterizing retinal morphology and implant placement. To predict the neural response to stimulation, we coupled electric fields with multi-compartment cable models of RGCs. We evaluated our model predictions by comparing them to patient-reported perceptual threshold measurements.
resultsOur model was validated by the ability to replicate clinical impedance and threshold values, along with known neurophysiological trends. Inter-electrode threshold differences
conclusionsWe developed a patient-specific retinal stimulation framework to quantitatively predict RGC activation and better explain phosphene variations.
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Registered trials
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