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Pharmacological studies performed in the clinic require accurate recording of the changes in patient’s condition caused by pharmacological agents. additionally, large-scale screening studies also require various methods of non-invasive evaluation of different aspects of patients’ condition. One of these biomedical technologies is pupillometry: recording of pupil’s response to stimuli. Pupilar reaction depends not only on the lightning but on emotional state, degree of activation/suppression of the autonomous nervous system. Modern methods of high-speed recording of pupilar dynamics allows to obtain profiles (pupillograms) with resolution sufficient for effective diagnosis of various human conditions. analysis of pupillogram data is performed using special numerical parameters (baseline pupil size, duration of pupilar cycle, latency of pupil constriction, etc.), and through analysis of the whole t,r-curve in “time (t) – pupil size (r)” coordinates. The shape of t,r-curve is affected by chronic pathologies (inflammation/injury of the cervical and thoracic spine, osteochondrosis, tumors, kidney failure, decompensated diabetes mellitus), as well as mental and physical fatigue and use of psychoactive substances (including alcohol). Pupilar reactions to various stimuli are involuntary (which is important for objective evaluation of patient’s condition) and allow to obtain important diagnostic signs of various conditions.
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Varchenko et al. (2026) studied this question.
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