Methods for estimating neuropsychiatric activity

By quantifying eye movement complexity and pupil diameter using multiscale entropy analysis, the method effectively estimates neuropsychiatric activity, enhancing diagnostic accuracy for developmental and mental disorders.

JP2026109911APending Publication Date: 2026-07-02NAT CENT OF NEUROLOGY & PSYCHIATRY +1
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Patent Information

Application Number
JP2024225037
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2026-07-02

AI Technical Summary

Technical Problem

Existing methods lack accurate estimation of developmental and mental disorders based on eye movement complexity and pupil diameter, despite the overlap of brain regions involved in these conditions.

Method used

A method that quantifies the complexity of eye movements and time-averaged pupil diameter to estimate neuropsychiatric activity, using multiscale entropy analysis and time-series data from eye trackers to classify subjects with high accuracy.

Benefits of technology

Enables accurate estimation of developmental disorders like ADHD and mental disorders by analyzing eye movement complexity and pupil diameter, improving diagnostic accuracy through high-precision classification.

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Abstract

This invention provides a method for estimating neuropsychological activity that can accurately predict developmental disorders, mental illnesses, and other conditions. [Solution] Time-series data of the subject's pupil diameter and time-series data of the subject's eye movements are obtained. The time-averaged value of the pupil diameter is calculated from the time-series data of the pupil diameter, and the complexity of eye movements for each time scale is quantified from the time-series data of eye movements. Based on the time-averaged value of the pupil diameter and the complexity of eye movements, the subject's neuropsychiatric activity is estimated.
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Citation Information

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