Researchers used a specialized infrared lens to measure pupillary changes to participants watching erotic videos. Pupils widened most to videos of people who participants found attractive, thereby revealing where they were on the sexual spectrum from heterosexual to homosexual.
According to a new study, how much a child's pupils dilate in response to seeing an emotional image can predict their risk of developing depression over the next two years.
Researchers report pupil dilation in reaction to negative facial expressions could predict a risk for relapse in those with depression.
Researchers report that during times of shared attention, pupil dilation patterns synchronize.
A new study reveals a person's pupil dilation may give hints as to their risk of developing depression following a natural disaster.
Artificial IntelligenceAutismDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··5 min read
A machine learning algorithm can accurately detect abnormalities in pupil dilation, which are predictive of ASD, in mouse models. The AI can also detect if a female has Rett syndrome with 80% accuracy. The system could be used to detect autism in infants and toddlers.
Adults with mild cognitive impairment (MCI), a precursor to Alzheimer's disease, have greater pupil dilation when taking cognitive tests than their cognitively normal peers. Task-evoked pupillary response may be a cost-effective, and low invasive screening test for those at genetic risk for Alzheimer's before the symptoms of the disease take hold.
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Autonomic mimicry in human social interactions is significant, a new study reports. Researchers found in computer facial simulations where the pupils were dilated, test subjects trusted the simulated face more and mimicked the pupillary response.