Goal: Retinal 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. Methods: We 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. Results: Our model was validated by the ability to replicate clinical impedance and threshold values, along with known neurophysiological trends. Inter-electrode threshold differences in silico correlated with in vivo results. Conclusions: We developed a patient-specific retinal stimulation framework to quantitatively predict RGC activation and better explain phosphene variations.

中文翻译：

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Argus II 植入物的患者特定计算框架

目标：视网膜假体的性能受到诱发光幻视的可变性的限制。刺激电极相对于视网膜神经节细胞 (RGC) 的位置会影响知觉阈值和光幻视形状。我们创建了一个包含患者特定解剖结构和电极位置的建模框架，以研究 RGC 激活并预测一位 Argus II 用户的电极间差异。方法：我们使用眼部成像来构建表征视网膜形态和植入物位置的三维有限元模型。为了预测对刺激的神经反应，我们将电场与 RGC 的多室电缆模型相结合。我们通过将模型预测与患者报告的感知阈值测量值进行比较来评估它们。结果：我们的模型通过复制临床阻抗和阈值的能力以及已知的神经生理学趋势得到验证。电极间阈值差异计算机与....有关体内结果。结论：我们开发了一种针对患者的视网膜刺激框架，以定量预测 RGC 激活并更好地解释光幻视的变化。