Using Steady-State Visual Evoked Potentials to Characterize Wide-Ranging Retinopathy Linked to CRB1: Implications for...

Area of Science:

• Neuroscience
• Ophthalmology
• Computational Biology

Background:

• Gene therapy advances necessitate understanding neural signaling changes in inherited retinal diseases (IRDs).
• Existing methods struggle to capture functional changes across the diverse spectrum of IRD-related vision loss.
• CRB1 retinopathy presents a wide phenotypic range, with its full neural impact yet to be characterized.

Purpose of the Study:

• To investigate the functional impact of CRB1 retinopathy on neural signaling using computational neuroimaging.
• To establish a unified testing framework for assessing visual function across the IRD spectrum.
• To identify sensitive markers of visual function for evaluating disease progression and treatment outcomes.

Main Methods:

• Recorded steady-state visual evoked potentials (ssVEPs) in 72 eyes from 18 CRB1 retinopathy patients and 18 controls.
• Utilized a patient-friendly, large-field protocol with phase-reversing gratings and full-screen flashes in age-appropriate videos.
• Fitted ssVEP data with neural tuning functions to derive computational markers of visual function.

Main Results:

• Significant ssVEP attenuation was observed in CRB1 retinopathy patients, particularly those with generalized retinal degeneration.
• Spatial-frequency tuning shifted towards lower frequencies in patients.
• ssVEPs demonstrated good correlation with behavioral assessments and discriminated between CRB1 subgroups.

Conclusions:

• ssVEPs provide a reliable, response-free measure of visual function in CRB1 retinopathy, sensitive to disease severity.
• Computational neuroimaging offers quantitative insights into the wide spectrum of CRB1 pathology.
• ssVEPs are a valuable tool for evaluating disease progression and treatment efficacy in IRDs.