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Estimating Phosphene Locations Using Eye Movements of Suprachoroidal Retinal Prosthesis Users
Samuel A Titchener1,2, Jeroen Goossens3, Jessica Kvansakul1,2
1Bionics Institute, East Melbourne, VIC, Australia.
Gaze-based phosphene mapping using eye movements is a viable alternative to finger-based mapping for retinal implants. This method accurately maps phosphene locations in some individuals, aiding visual prosthesis spatial encoding.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Ophthalmology
Background:
- Accurate spatial encoding is crucial for visual prostheses to restore vision.
- Phosphene mapping, identifying perceived light locations, is essential for calibrating these devices.
- Current methods, like finger-based mapping, can be time-consuming and subjective.
Purpose of the Study:
- To demonstrate and evaluate phosphene mapping using eye movements (gaze-based) for a retinal implant.
- To compare gaze-based mapping with conventional finger-based mapping and retinotopic electrode positions.
- To assess the accuracy and feasibility of gaze-based phosphene mapping in retinal prosthesis recipients.
Main Methods:
- Three participants with suprachoroidal retinal implants participated in the study.
- Phosphene locations were identified using both finger-based and gaze-based (eye movement) methods.
- Procrustes analysis was used to compare measured phosphene locations with expected retinotopic electrode positions.
Main Results:
- Finger-based mapping showed spatial compression of phosphenes in all subjects but maintained retinotopic order.
- Gaze-based mapping yielded results similar to expected locations in two out of three subjects.
- One subject could not generate a coherent gaze-based map, potentially due to indistinct phosphenes.
Conclusions:
- Gaze-based phosphene mapping is a feasible alternative to finger-based methods for retinal implants.
- The effectiveness of gaze-based mapping varies among individuals, with some unable to produce coherent maps.
- This technique shows promise for improving the calibration and spatial encoding capabilities of visual prostheses.
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