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Pupillary Response in Visual Imagery
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The extent and nature of the overlap between visual imagery and visual
perception have been debated over the past century. Can visual imagery
result in presumably automatic physiological responses such as the
pupillary light reflex (PLR)? Laeng & Sulutvedt (2014) reported
pupillary responses to dark and bright imagined scenarios. Based on such
findings, Kay, Keogh, and Pearson (2022) proposed using the magnitude of
imagery-induced PLR as a measure of the ability to generate vivid
imagery. We aimed to replicate Kay et al.’s (2022) findings on the PLR
response in visual imagery. Ninety-five normally sighted participants
were asked to view 16 stimuli in four luminance levels and then imagine
the previously seen stimulus. Pupillary responses were measured during
both the perception and imagery periods. The PLR response was examined
by comparing the pupil diameter in the two darker luminance conditions
against that in the two brighter conditions. The PLR response was
statistically significant in both the perception and imagery periods
(perception:
F
(1,94) = 598,
p
< .001; imagery:
F
(1,94) = 14.7,
p
< .001). Statistically
significant bivariate correlations were consistently observed among the
self-report questionnaires (VVIQ, OSIVQ, and SUIS) and the
trial-by-trial vividness ratings, suggesting a shared mechanism
underlying the subjective evaluation of imagery vividness. However, we
could not replicate Kay et al.’s (2022) findings on the association
between trial-by-trial vividness ratings and the magnitude of PLR
response during the imagery periods. Our results indicate that while
pupillary responses may reflect the presence of visual imagery, they do
not consistently track the vividness of that imagery. This study
highlights the potential of pupillometry as an objective measure of
visual imagery but underscores the need for further validation and
refinement to improve its reliability and applicability.
Title: Pupillary Response in Visual Imagery
Description:
The extent and nature of the overlap between visual imagery and visual
perception have been debated over the past century.
Can visual imagery
result in presumably automatic physiological responses such as the
pupillary light reflex (PLR)? Laeng & Sulutvedt (2014) reported
pupillary responses to dark and bright imagined scenarios.
Based on such
findings, Kay, Keogh, and Pearson (2022) proposed using the magnitude of
imagery-induced PLR as a measure of the ability to generate vivid
imagery.
We aimed to replicate Kay et al.
’s (2022) findings on the PLR
response in visual imagery.
Ninety-five normally sighted participants
were asked to view 16 stimuli in four luminance levels and then imagine
the previously seen stimulus.
Pupillary responses were measured during
both the perception and imagery periods.
The PLR response was examined
by comparing the pupil diameter in the two darker luminance conditions
against that in the two brighter conditions.
The PLR response was
statistically significant in both the perception and imagery periods
(perception:
F
(1,94) = 598,
p
< .
001; imagery:
F
(1,94) = 14.
7,
p
< .
001).
Statistically
significant bivariate correlations were consistently observed among the
self-report questionnaires (VVIQ, OSIVQ, and SUIS) and the
trial-by-trial vividness ratings, suggesting a shared mechanism
underlying the subjective evaluation of imagery vividness.
However, we
could not replicate Kay et al.
’s (2022) findings on the association
between trial-by-trial vividness ratings and the magnitude of PLR
response during the imagery periods.
Our results indicate that while
pupillary responses may reflect the presence of visual imagery, they do
not consistently track the vividness of that imagery.
This study
highlights the potential of pupillometry as an objective measure of
visual imagery but underscores the need for further validation and
refinement to improve its reliability and applicability.
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