Based on literature, investigators hypothesize that it would be relevant to focus more broadly on subclinical abnormalities of oculomotricity in multiple sclerosis (MS). However, the difficulty of accessing video-oculography platforms (or eye-tracking devices) is probably one of the main limitations to performing this type of assessment.
To respond this problem, the "Resources and Skills Center-Multiple Sclerosis" (CRC SEP) team at the Nice University Hospital Center (France) has developed a mobile application (named e-VOG), usable on mobile phones or tablets, to measure eye movements. e-VOG reproduces the classic paradigms of video-oculography to collect data similar to standard video-oculography recording (saccade latency and speed, anti-saccade error rate, presence of fixation abnormalities).
e-VOG will not replace standard video-oculography platforms, because its technical characteristics are not as high. But investigators hypothesize that this application could constitute a screening tool for subclinical oculomotor abnormalities, usable by neurologists in consultation, directly on their mobile, which would make it possible to select a smaller population of patients in whom a further exploration by standard video-oculography would be indicated.
Memory Center of the Rainier III Gerontologic Center (Princess Grace Hospital - Monaco) is equipped with a standard video-oculography device, also named eye-tracking device (Eye-Tracker®T2), which records eye movements at a high frequency and measures saccades parameters (latency, speed, amplitudes etc...).
This study is a collaborative study between the Center Rainier III team and the CRC SEP team in Nice. Its objective will be to compare measurements obtained through the e-VOG application with measurements from the standard video-oculography device.
