Literature DB >> 33643064

Pupillometric Complexity and Symmetricity Follow Inverted-U Curves Against Baseline Diameter Due to Crossed Locus Coeruleus Projections to the Edinger-Westphal Nucleus.

Sou Nobukawa1, Aya Shirama2, Tetsuya Takahashi3,4,5, Toshinobu Takeda6, Haruhisa Ohta7, Mitsuru Kikuchi8, Akira Iwanami9, Nobumasa Kato7, Shigenobu Toda8,10.   

Abstract

In addition to photic reflex function, the temporal behavior of the pupil diameter reflects levels of arousal and attention and thus internal cognitive neural activity. Recent studies have reported that these behaviors are characterized by baseline activity, temporal complexity, and symmetricity (i.e., degree of symmetry) between the right and left pupil diameters. We hypothesized that experimental analysis to reveal relationships among these characteristics and model-based analysis focusing on the newly discovered contralateral projection from the locus coeruleus (LC) to the Edinger-Westphal nucleus (EWN) within the neural system for controlling pupil diameter could contribute to another dimension of understanding of complex pupil dynamics. In this study, we aimed to validate our hypothesis by analyzing the pupillary hippus in the healthy resting state in terms of sample entropy (SampEn), to capture complexity, and transfer entropy (TranEn), to capture symmetricity. We also constructed a neural model embedded with the new findings on neural pathways. The following results were observed: first, according to surrogate data analysis, the complexity and symmetricity of pupil diameter changes reflect a non-linear deterministic process. Second, both the complexity and the symmetricity are unimodal, peaking at intermediate pupil diameters. Third, according to simulation results, the neural network that controls pupil diameter has an inverted U-shaped profile of complexity and symmetricity vs. baseline LC activity; this tendency is enhanced by the contralateral synaptic projections from the LCs to the EWNs. Thus, we characterized the typical relationships between the baseline activity and the complexity and symmetricity of the pupillometric data in terms of SampEn and TranEn. Our evaluation method and findings may facilitate the development of estimation and diagnostic tools for exploring states of the healthy brain and psychiatric disorders based on measurements of pupil diameter.
Copyright © 2021 Nobukawa, Shirama, Takahashi, Takeda, Ohta, Kikuchi, Iwanami, Kato and Toda.

Entities:  

Keywords:  complexity; hippus; neural model; non-linear dynamics; pupillometry; symmetricity

Year:  2021        PMID: 33643064      PMCID: PMC7905168          DOI: 10.3389/fphys.2021.614479

Source DB:  PubMed          Journal:  Front Physiol        ISSN: 1664-042X            Impact factor:   4.566


  46 in total

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Journal:  Phys Rev Lett       Date:  2000-07-10       Impact factor: 9.161

2.  Dynamic Lateralization of Pupil Dilation Evoked by Locus Coeruleus Activation Results from Sympathetic, Not Parasympathetic, Contributions.

Authors:  Yang Liu; Charles Rodenkirch; Nicole Moskowitz; Brian Schriver; Qi Wang
Journal:  Cell Rep       Date:  2017-09-26       Impact factor: 9.423

3.  Can pupil size and pupil responses during visual scanning contribute to the diagnosis of autism spectrum disorder in children?

Authors:  Joëlle Martineau; Nadia Hernandez; Lorraine Hiebel; Laetitia Roché; Aude Metzger; Frédérique Bonnet-Brilhault
Journal:  J Psychiatr Res       Date:  2011-06-15       Impact factor: 4.791

4.  A model for nonlinear stochastic behavior of the pupil.

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Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

5.  Noradrenergic modulation of functional selectivity in the cat visual cortex: an in vivo extracellular and intracellular study.

Authors:  V Ego-Stengel; V Bringuier; D E Shulz
Journal:  Neuroscience       Date:  2002       Impact factor: 3.590

6.  Pupil Dilation Progression Modulates Aberrant Social Cognition in Autism Spectrum Disorder.

Authors:  Nico Bast; Tobias Banaschewski; Isabel Dziobek; Daniel Brandeis; Luise Poustka; Christine M Freitag
Journal:  Autism Res       Date:  2019-07-25       Impact factor: 5.216

7.  Deep learning of spontaneous arousal fluctuations detects early cholinergic defects across neurodevelopmental mouse models and patients.

Authors:  Pietro Artoni; Arianna Piffer; Viviana Vinci; Jocelyn LeBlanc; Charles A Nelson; Takao K Hensch; Michela Fagiolini
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-22       Impact factor: 11.205

8.  Larger tonic pupil size in young children with autism spectrum disorder.

Authors:  Christa J Anderson; John Colombo
Journal:  Dev Psychobiol       Date:  2009-03       Impact factor: 3.038

9.  Pupil size and social vigilance in rhesus macaques.

Authors:  R Becket Ebitz; John M Pearson; Michael L Platt
Journal:  Front Neurosci       Date:  2014-05-06       Impact factor: 4.677

10.  Increased Postural Demand Is Associated With Greater Cognitive Workload in Healthy Young Adults: A Pupillometry Study.

Authors:  Melike Kahya; Tyler A Wood; Jacob J Sosnoff; Hannes Devos
Journal:  Front Hum Neurosci       Date:  2018-07-18       Impact factor: 3.169

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