View in EDS HTML Full Text PDF Full Text

Main Sequence of Human Luminance-evoked Pupil Dynamics.

Saved in:
Bibliographic Details
Title: Main Sequence of Human Luminance-evoked Pupil Dynamics.
Authors: Coutinho, Jonathan D. (AUTHOR), Huang, Jeff (AUTHOR), Lefèvre, Philippe (AUTHOR), Blohm, Gunnar (AUTHOR), Munoz, Douglas P. (AUTHOR)
Source: Journal of Cognitive Neuroscience. Apr2025, Vol. 37 Issue 4, p840-852. 13p.
Subjects: Visual perception, Nonlinear functions, Curve fitting, Cognition, Homogeneity
Abstract: Pupil responses are commonly used to provide insight into visual perception, autonomic control, cognition, and various brain disorders. However, making inferences from pupil data can be complicated by nonlinearities in pupil dynamics and variability within and across individuals, which challenge the assumptions of linearity or group-level homogeneity required for common analysis methods. In this study, we evaluated luminance evoked pupil dynamics in young healthy adults (n = 10, M:F = 5:5, age 19–25 years) by identifying nonlinearities, variability, and conserved relationships across individuals to improve the ability to make inferences from pupil data. We found a nonlinear relationship between final pupil diameter and luminance, linearized by considering the logarithm of luminance. Peak diameter change and peak velocity were nonlinear functions of log-luminance for constriction but not dilation responses. Across participants, curve fit parameters characterizing pupil responses as a function of luminance were highly variable, yet there was an across-participant linear correlation between overall pupil size and pupil gain (i.e., diameter change per unit log-luminance change). In terms of within-participant trial-by-trial variability, participants showed greater variability in final pupil size compared with constriction peak diameter change as a function of log-luminance. Despite the variability in stimulus–response metrics within and across participants, we found that all participants showed a highly stereotyped "main sequence" relationship between peak diameter change and peak velocity (independent of luminance). The main sequence relationship can be used to inform models of the neural control of pupil dynamics and as an empirical analysis tool to evaluate variability and abnormalities in pupil behavior. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 183843392
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Main Sequence of Human Luminance-evoked Pupil Dynamics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Coutinho%2C+Jonathan+D%2E%22">Coutinho, Jonathan D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Jeff%22">Huang, Jeff</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lefèvre%2C+Philippe%22">Lefèvre, Philippe</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Blohm%2C+Gunnar%22">Blohm, Gunnar</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Munoz%2C+Douglas+P%2E%22">Munoz, Douglas P.</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Cognitive+Neuroscience%22">Journal of Cognitive Neuroscience</searchLink>. Apr2025, Vol. 37 Issue 4, p840-852. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+functions%22">Nonlinear functions</searchLink><br /><searchLink fieldCode="DE" term="%22Curve+fitting%22">Curve fitting</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Homogeneity%22">Homogeneity</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Pupil responses are commonly used to provide insight into visual perception, autonomic control, cognition, and various brain disorders. However, making inferences from pupil data can be complicated by nonlinearities in pupil dynamics and variability within and across individuals, which challenge the assumptions of linearity or group-level homogeneity required for common analysis methods. In this study, we evaluated luminance evoked pupil dynamics in young healthy adults (n = 10, M:F = 5:5, age 19–25 years) by identifying nonlinearities, variability, and conserved relationships across individuals to improve the ability to make inferences from pupil data. We found a nonlinear relationship between final pupil diameter and luminance, linearized by considering the logarithm of luminance. Peak diameter change and peak velocity were nonlinear functions of log-luminance for constriction but not dilation responses. Across participants, curve fit parameters characterizing pupil responses as a function of luminance were highly variable, yet there was an across-participant linear correlation between overall pupil size and pupil gain (i.e., diameter change per unit log-luminance change). In terms of within-participant trial-by-trial variability, participants showed greater variability in final pupil size compared with constriction peak diameter change as a function of log-luminance. Despite the variability in stimulus–response metrics within and across participants, we found that all participants showed a highly stereotyped "main sequence" relationship between peak diameter change and peak velocity (independent of luminance). The main sequence relationship can be used to inform models of the neural control of pupil dynamics and as an empirical analysis tool to evaluate variability and abnormalities in pupil behavior. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=183843392
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1162/jocn_a_02296
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 840
    Subjects:
      – SubjectFull: Visual perception
        Type: general
      – SubjectFull: Nonlinear functions
        Type: general
      – SubjectFull: Curve fitting
        Type: general
      – SubjectFull: Cognition
        Type: general
      – SubjectFull: Homogeneity
        Type: general
    Titles:
      – TitleFull: Main Sequence of Human Luminance-evoked Pupil Dynamics.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Coutinho, Jonathan D.
      – PersonEntity:
          Name:
            NameFull: Huang, Jeff
      – PersonEntity:
          Name:
            NameFull: Lefèvre, Philippe
      – PersonEntity:
          Name:
            NameFull: Blohm, Gunnar
      – PersonEntity:
          Name:
            NameFull: Munoz, Douglas P.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 0898929X
          Numbering:
            – Type: volume
              Value: 37
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Journal of Cognitive Neuroscience
              Type: main
ResultId 1