The current status and future of using computational models to individually optimise cochlear implant stimulation

Area of Science:

• Biomedical Engineering
• Computational Neuroscience
• Auditory Neuroscience

Background:

• Computational modeling of cochlear implant (CI) stimulation has a long history.
• Development has predominantly used generic models, with patient-specific modeling being infrequent.
• Patient-specific models offer significant potential for research and clinical applications.

Purpose of the Study:

• To discuss the current state of computational CI models.
• To evaluate the progress and potential of patient-specific CI modeling.
• To identify remaining obstacles in developing clinically applicable patient-specific models.

Main Methods:

• Review of existing computational cochlear implant models.
• Discussion of techniques for creating patient-specific models from clinical imaging (e.g., 3D geometries).
• Analysis of end-to-end models simulating the electrically stimulated auditory system.

Main Results:

• Computational CI models have advanced significantly, capable of simulating responses to complex stimuli like speech.
• Patient-specific models are nearing development for studying CI mechanisms and informing clinical decisions.
• A key obstacle remains the assessment of auditory neural health, crucial for electrical stimulation outcomes.

Conclusions:

• Patient-specific computational models for cochlear implants are within reach.
• These models hold promise for enhancing understanding and application of cochlear implants.
• Addressing the assessment of auditory neural health is critical for future clinical translation.