Identification of attention-deficit hyperactivity disorder based on the complexity and symmetricity of pupil diameter

Adult attention-deficit/hyperactivity disorder (ADHD) frequently leads to psychological/social dysfunction if unaddressed. Identifying a reliable biomarker would assist the diagnosis of adult ADHD and ensure that adults with ADHD receive treatment. Pupil diameter can reflect inherent neural activity...

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Bibliographic Details
Published in:Scientific reports 2021-04, Vol.11 (1), p.8439-8439, Article 8439
Main Authors: Nobukawa, Sou, Shirama, Aya, Takahashi, Tetsuya, Takeda, Toshinobu, Ohta, Haruhisa, Kikuchi, Mitsuru, Iwanami, Akira, Kato, Nobumasa, Toda, Shigenobu
Format: Article
Language:English
Subjects:
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Adult
Adults
Arousal
Attention Deficit Disorder with Hyperactivity - diagnosis
Attention Deficit Disorder with Hyperactivity - physiopathology
Attention deficit hyperactivity disorder
Biomarkers
Data Interpretation, Statistical
Diagnosis
Entropy
Female
Humanities and Social Sciences
Humans
Hyperactivity
Male
Mental disorders
Middle Aged
multidisciplinary
Pupil
Science
Science (multidisciplinary)
Young Adult
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Summary:Adult attention-deficit/hyperactivity disorder (ADHD) frequently leads to psychological/social dysfunction if unaddressed. Identifying a reliable biomarker would assist the diagnosis of adult ADHD and ensure that adults with ADHD receive treatment. Pupil diameter can reflect inherent neural activity and deficits of attention or arousal characteristic of ADHD. Furthermore, distinct profiles of the complexity and symmetricity of neural activity are associated with some psychiatric disorders. We hypothesized that analysing the relationship between the size, complexity of temporal patterns, and asymmetricity of pupil diameters will help characterize the nervous systems of adults with ADHD and that an identification method combining these features would ease the diagnosis of adult ADHD. To validate this hypothesis, we evaluated the resting state hippus in adult participants with or without ADHD by examining the pupil diameter and its temporal complexity using sample entropy and the asymmetricity of the left and right pupils using transfer entropy. We found that large pupil diameters and low temporal complexity and symmetry were associated with ADHD. Moreover, the combination of these factors by the classifier enhanced the accuracy of ADHD identification. These findings may contribute to the development of tools to diagnose adult ADHD.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-88191-x