The visual pathway provides an important window into the health of the central nervous system. Retinocortical conduction time (RCT), the time required for signals to travel from the retina to the visual cortex, has long been proposed as a potential biomarker for neurological disorders. However, current approaches rely on relatively slow electrophysiological responses, and important questions remain regarding how visual pathway conduction can be measured accurately and non-invasively.
The OptiVision project was motivated by findings from the ERC-funded OscillatoryVision programme that suggested the potential for estimating RCT from earlier neural responses than those traditionally used. To pursue this objective, the project focused on developing the methodological, technical, and anatomical foundations required for future studies.
A major component of the project involved advancing the use of optically pumped magnetometers (OPMs) for measurements of visual system activity. This included substantial efforts to improve the magnetic measurement environment, reduce environmental noise, optimize experimental procedures, and establish workflows capable of supporting challenging high-frequency recordings.
In parallel, the project investigated anatomical factors relevant to visual pathway conduction. In particular, it examined the relationship between head size and visual pathway length, providing evidence on how inter-individual anatomical variability may influence conduction delays. Understanding these anatomical determinants is essential for interpreting future RCT measurements and for developing biomarkers that can distinguish normal biological variation from disease-related changes.
The expected impact of the project is therefore twofold. First, it has established technical capabilities and measurement methodologies that strengthen the foundation for future OPM-based studies of visual system function. Second, it has improved our understanding of anatomical factors that influence visual pathway conduction, providing critical groundwork for the future development of more accurate biomarkers of visual pathway integrity. In the longer term, such biomarkers could contribute to improved assessment and monitoring of neurological disorders.