Behavioral strategies associated with a reward stop-signal task are
reflected in the pupillary response.
Abstract
Cognitive control, specifically inhibition, is required to adapt
behavior in response to environmental changes. While reward expectancy
is known to shape cognitive strategies, the autonomic mechanisms
underlying these adaptations—such as changes in pupil size—remain
poorly understood. This study hypothesized that reward cues influence
behavioral strategies, with these adaptations reflected in autonomic
responses measured via pupil size, a marker of cognitive effort.
Twenty-seven participants performed a rewarded stop-signal task (SST)
with three reward conditions: Go plus, Neutral, and Stop plus. In the Go
plus condition, participants were informed that they would receive a
greater reward if they performed the movement (Go trials) than when they
inhibited it (Stop trials), and vice versa in the Stop plus condition.
Finally, in the Neutral condition, the reward was the same for both the
Go and Stop trials performed correctly. Behavioral data and pupil size
were analyzed to determine how reward influenced task performance and
cognitive effort. Our results indicate that participants strategically
adjusted behavior their behavior to align with reward condition: they
show longer reaction times in response to the Go trial in the Stop plus
condition, where inhibitory success was most rewarded. Accuracy in Go
trials was higher in Go plus and Neutral conditions, while inhibition
ability did not show a difference across reward conditions. Pupillometry
revealed greater pupil size in the Neutral condition than Go plus and
Stop plus, suggesting greater cognitive effort. Our findings suggest
that reward expectation shapes proactive cognitive strategies, with
participants modulating motor control to maximize rewards. Pupil size
data indicate greater cognitive effort is exerted when task strategies
require balanced focus to achieve rewards in both trial types. These
results provide valuable insights into the interplay between reward
sensitivity and cognitive control, with potential applications in
developing rehabilitation strategies for individuals with impaired
inhibitory control.