Computer Vision News - May 2021

Saccadic dysfunctions indicate poor visual attention. For AD patients the ocular assessments of AD patients have shown those dysfunctions. Specifically, AD patients have difficulty focusing on fixed objects, with a research showing at least 75% greater latency in pupillary constriction in AD patients compared with that in age-matched controls. Additionally, AD patients have markedly decreased visual contrast sensitivity, which is evident even at the early stage of AD. Patients with AD also have altered retinal microvasculature, such as sparser and more tortuous retinal vessels and narrower retinal venules and decreased retinal blood flow/blood-column diameter as indicated by laser Doppler flowmetry. Optical coherence tomography (OCT) studies show that a gradual decrease in retinal nerve fibre layer thickness (RNFL) is shown, most prominently in the superior quadrants, when comparing patients with no AD to mild AD to severe AD. AD patients exhibit a number of specific ocular findings. This arises the possibility to use those as biomarkers for machine learning algorithms to test AD. 6 Computer Vision Research The figure in the present article describes the eye as a perspective to describe a healthy (or not) brain. On A1, a restful and calm eye (positive state) is shown compared with (A2) a stressful and anxious eye (negative state). Usually the positive state is associated with an upside view of the eyes, with a negative state showing a more downside view of eyes. The eye images shown here are presented following permission from the corresponding subjects.