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The pupil light reflex (PLR) for focal chromatic stimuli was tested in 125 healthy middle-aged subjects offspring of Alzheimer Disease (AD) patients and 61 age-matched controls,. Machine learning algorithms identified features associated with PLR latency with an Area Under Curve of 0.91±0.05 in the left eye and 0.88 ± 0.05 in the right eye. Parameters associated with the contraction arm of the PLR were more discriminative compared to parameters associated with the relaxation arm. This study suggests that subtle changes in pupil constriction latency may be detected decades before the onset of AD clinical symptoms using a simple, non-invasive chromatic pupilloperimetry test.
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Ygal Rotenstreich, Yael Lustig, Inbal Sharvit-Ginon, Yael Feldman, Michael Mrejen, Michal Schnaider Beeri, Aron Weller, Ramit Ravona-Springer, Ifat Sher, "Machine learning for comprehensive prediction of high risk for Alzheimer’s disease based on chromatic pupilloperimetry," Proc. SPIE PC11941, Ophthalmic Technologies XXXII, PC119410A (7 March 2022); https://doi.org/10.1117/12.2609331