Featured Research
We utilize industry-leading eye-tracking technology and expertise in neuroscience to develop innovative products that aid in the diagnosis and monitoring of neurological injury and disease.
Spryson has developed a comprehensive battery of oculomotor, vestibular, reaction time, and cognitive (OVRT-C) tests delivered via the Spryson DX 200, our high-resolution eye-tracking goggle set. Together, results of these tests can reveal the unique and quantifiable patterns of OVRT-C deficits characteristic of specific neurological injuries or diseases.
Our multimodal method of OVRT-C testing makes us uniquely positioned to develop adjunctive tools with which to diagnose and monitor a number of these conditions and potentially contribute to patient recovery. Below, we share results from recent studies that highlight the efficacy of our novel approach to help clinicians diagnose and treat patients.
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Over four years after the COVID-19 pandemic began, it is clear that neurological symptoms (e.g., “brain fog”, dizziness, smell and/or taste abnormalities) feature prominently on the list of patient complaints, both during COVID-19 infection and often following recovery. Spryson tested 77 recovered COVID-19 patients with our comprehensive battery of OVRT-C tests to determine if neurological deficits related to COVID-19 infection can be objectively measured. A significant number of patients scored outside established norms on several of our tests. Based on the characteristic pattern of deficits observed in these subjects, we developed a model using six metrics that are significant indicators of post-COVID-19 patients. Recovered COVID-19 patients exhibit systematic deficits in smooth pursuit, optokinetic nystagmus, predictive saccade, and antisaccade metrics. Based on this pattern of deficiencies, we built a classification algorithm that can discriminate recovered COVID-19 patients from healthy controls at a high degree of accuracy. This technology may prove invaluable to the diagnosis and treatment of COVID-19-related neurological deficits following recovery from the acute phase of infection.
A manuscript reporting these data and results was recently published in Frontiers in Neurology.
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Vestibular migraine (VM) is condition in which vertigo, dizziness, and/or balance issues occur in patients with a history of migraine. VM is particularly difficult to diagnose, as it relies heavily on subjective patient reports, its symptoms overlap with several other vestibular disorders, and there is currently no objective test for the disease.
Using our battery of OVRT-C tests in patients with VM, we found robust deficits in these patients at the group level, such as abnormalities in saccades, smooth pursuit, vergence, and optokinetic nystagmus.
A regression model generated from these data can discriminate between VM patients and healthy, age-matched controls with a high degree of accuracy. This algorithm may aid in the early detection of VM, which will help clinicians treat the condition earlier and improve patient outcomes.