Literature DB >> 30894328

Individual differences in resting-state pupil size: Evidence for association between working memory capacity and pupil size variability.

Samira Aminihajibashi1, Thomas Hagen2, Maja Dyhre Foldal3, Bruno Laeng3, Thomas Espeseth4.   

Abstract

Dynamic non-luminance-mediated changes in pupil diameter have frequently been shown to be a reliable index for the level of arousal, mental effort, and activity in the locus coeruleus, the brainstem's noradrenergic arousal center. While pupillometry has most commonly been used to assess the level of arousal in particular psychological states or the level of engagement in cognitive tasks, some recent studies have found a relationship between average resting-state (i.e. baseline) pupil sizes and individuals' working memory capacity (WMC), indicating that individuals with higher WMC on average have larger pupils than individuals with relatively lower WMC. In the present study, we measured pupil size continuously in 212 participants during rest (i.e. while fixating) and estimated WMC in all participants by administering the Letter-Number Sequencing (LNS) task from WAIS-III. We were unable to replicate the relation between average pupil size and WMC. However, the novel finding was that higher WMC was associated with higher variability in resting-state pupil size. The present results are relevant for the current debate on the role of noradrenergic activity on working memory capacity.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Individual differences; Locus coeruleus-norepinephrine system; Pupil size variability; Resting-state; Working memory capacity

Mesh:

Year:  2019        PMID: 30894328     DOI: 10.1016/j.ijpsycho.2019.03.007

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  7 in total

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2.  Pupillary correlates of individual differences in long-term memory.

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Journal:  Psychon Bull Rev       Date:  2022-03-30

Review 3.  Eye pupil - a window into central autonomic regulation via emotional/cognitive processing.

Authors:  N Ferencová; Z Višňovcová; L Bona Olexová; I Tonhajzerová
Journal:  Physiol Res       Date:  2021-12-30       Impact factor: 2.139

4.  Resting and Functional Pupil Response Metrics Indicate Features of Reward Sensitivity and ASD in Children.

Authors:  Antoinette Sabatino DiCriscio; Vanessa Troiani
Journal:  J Autism Dev Disord       Date:  2021-07

5.  Predicting Neural Response Latency of the Human Early Visual Cortex from MRI-Based Tissue Measurements of the Optic Radiation.

Authors:  Hiromasa Takemura; Kenichi Yuasa; Kaoru Amano
Journal:  eNeuro       Date:  2020-07-02

6.  Brain Networks Underlying Eye's Pupil Dynamics.

Authors:  Mauro DiNuzzo; Daniele Mascali; Marta Moraschi; Giorgia Bussu; Laura Maugeri; Fabio Mangini; Michela Fratini; Federico Giove
Journal:  Front Neurosci       Date:  2019-09-18       Impact factor: 4.677

7.  Classifying the difficulty levels of working memory tasks by using pupillary response.

Authors:  Hugo Mitre-Hernandez; Jorge Sanchez-Rodriguez; Sergio Nava-Muñoz; Carlos Lara-Alvarez
Journal:  PeerJ       Date:  2022-03-29       Impact factor: 2.984

  7 in total

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