Literature DB >> 30264368

The human task-evoked pupillary response function is linear: Implications for baseline response scaling in pupillometry.

Jamie Reilly1,2, Alexandra Kelly3,4, Seung Hwan Kim5, Savannah Jett6, Bonnie Zuckerman3,4.   

Abstract

The human task-evoked pupillary response provides a sensitive physiological index of the intensity and online resource demands of numerous cognitive processes (e.g., memory retrieval, problem solving, or target detection). Cognitive pupillometry is a well-established technique that relies upon precise measurement of these subtle response functions. Baseline variability of pupil diameter is a complex artifact that typically necessitates mathematical correction. A methodological paradox within pupillometry is that linear and nonlinear forms of baseline scaling both remain accepted baseline correction techniques, despite yielding highly disparate results. The task-evoked pupillary response (TEPR) could potentially scale nonlinearly, similar to autonomic functions such as heart rate, in which the amplitude of an evoked response diminishes as the baseline rises. Alternatively, the TEPR could scale similarly to the cortical hemodynamic response, as a linear function that is independent of its baseline. However, the TEPR cannot scale both linearly and nonlinearly. Our aim was to adjudicate between linear and nonlinear scaling of human TEPR. We manipulated baseline pupil size by modulating the illuminance in the testing room as participants heard abrupt pure-tone transitions (Exp. 1) or visually monitored word lists (Exp. 2). Phasic pupillary responses scaled according to a linear function across all lighting (dark, mid, bright) and task (tones, words) conditions, demonstrating that the TEPR is independent of its baseline amplitude. We discuss methodological implications and identify a need to reevaluate past pupillometry studies.

Entities:  

Keywords:  Arousal; Cognitive load; Executive functioning; Psychophysics; Pupillometry

Mesh:

Year:  2019        PMID: 30264368     DOI: 10.3758/s13428-018-1134-4

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  16 in total

1.  Individual differences in baseline oculometrics: Examining variation in baseline pupil diameter, spontaneous eye blink rate, and fixation stability.

Authors:  Nash Unsworth; Matthew K Robison; Ashley L Miller
Journal:  Cogn Affect Behav Neurosci       Date:  2019-08       Impact factor: 3.282

2.  Adults with cochlear implants can use prosody to determine the clausal structure of spoken sentences.

Authors:  Nicole M Amichetti; Jonathan Neukam; Alexander J Kinney; Nicole Capach; Samantha U March; Mario A Svirsky; Arthur Wingfield
Journal:  J Acoust Soc Am       Date:  2021-12       Impact factor: 1.840

3.  Pupillometry reveals cognitive demands of lexical competition during spoken word recognition in young and older adults.

Authors:  Drew J McLaughlin; Maggie E Zink; Lauren Gaunt; Kristin J Van Engen; Mitchell S Sommers; Jonathan E Peelle
Journal:  Psychon Bull Rev       Date:  2021-08-17

4.  Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis.

Authors:  Sebastiaan Mathôt; Ana Vilotijević
Journal:  Behav Res Methods       Date:  2022-08-26

5.  Comparing methods of analysis in pupillometry: application to the assessment of listening effort in hearing-impaired patients.

Authors:  Lou Seropian; Mathieu Ferschneider; Fanny Cholvy; Christophe Micheyl; Aurélie Bidet-Caulet; Annie Moulin
Journal:  Heliyon       Date:  2022-06-03

6.  Publication guidelines and recommendations for pupillary measurement in psychophysiological studies.

Authors:  Stuart R Steinhauer; Margaret M Bradley; Greg J Siegle; Kathryn A Roecklein; Annika Dix
Journal:  Psychophysiology       Date:  2022-04       Impact factor: 4.348

7.  Effect of Speech-to-Noise Ratio and Luminance on a Range of Current and Potential Pupil Response Measures to Assess Listening Effort.

Authors:  Patrycja Książek; Adriana A Zekveld; Dorothea Wendt; Lorenz Fiedler; Thomas Lunner; Sophia E Kramer
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

8.  Contrast Is in the Eye of the Beholder: Infelicitous Beat Gesture Increases Cognitive Load During Online Spoken Discourse Comprehension.

Authors:  Laura M Morett; Jennifer M Roche; Scott H Fraundorf; James C McPartland
Journal:  Cogn Sci       Date:  2020-10

9.  Cortical modulation of pupillary function: systematic review.

Authors:  Costanza Peinkhofer; Daniel Kondziella; Gitte M Knudsen; Rita Moretti
Journal:  PeerJ       Date:  2019-05-07       Impact factor: 2.984

10.  Anticipatory Baseline Pupil Diameter Is Sensitive to Differences in Hearing Thresholds.

Authors:  Nicolai D Ayasse; Arthur Wingfield
Journal:  Front Psychol       Date:  2020-01-10
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