Publication guidelines and recommendations for pupillary measurement in psychophysiological studies

Steinhauer, Stuart R.; Bradley, Margaret M.; Siegle, Greg J.; Roecklein, Kathryn A.; Dix, Annika

doi:10.1111/psyp.14035

Cited by 51 publications

(31 citation statements)

References 204 publications

(282 reference statements)

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“…For instance, it has been found that task conflict quickly increases pupil dilation (Hershman & Henik, 2019). Interestingly, a similar effect on the pupil has been documented for arousing stimuli (for an overview, see Steinhauer et al, 2022), suggesting that emotional stimuli could modulate task conflict in particular. Here, more experimental work is needed to test these speculations.…”

Section: Implications For Usage Of Conflict Tasks To Probe Emotion-co...mentioning

confidence: 63%

How emotional stimuli modulate cognitive control: A meta-analytic review of studies with conflict tasks.

J¹,

Bürkner²,

Kiesel³

et al. 2023

Psychological Bulletin

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Section: Implications For Usage Of Conflict Tasks To Probe Emotion-co...mentioning

confidence: 63%

How emotional stimuli modulate cognitive control: A meta-analytic review of studies with conflict tasks.

J¹,

Bürkner²,

Kiesel³

et al. 2023

Psychological Bulletin

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“…As a result of a complex interplay of several nuclei within the brain (see e.g., Joshi & Gold, 2020), pupil dilation is controlled via sympathetic and parasympathetic inputs (Schumann et al, 2020). While pupil constriction is accomplished by parasympathetic innervation of the pupillae sphincter, pupil dilation is controlled by sympathetic innervation of the dilator pupillae muscle (Andreassi, 2000; Loewenfeld, 1999), but see Steinhauer et al (2022) for a thorough elaboration. Therefore, erotic cue exposure‐associated pupil dilation likely results from sympathetic effects.…”

Section: Discussionmentioning

confidence: 99%

Erotic cue exposure increases physiological arousal, biases choices toward immediate rewards, and attenuates model‐based reinforcement learning

et al. 2023

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Computational psychiatry focuses on identifying core cognitive processes that appear altered across distinct psychiatric disorders. Temporal discounting of future rewards and model‐based control during reinforcement learning have proven as two promising candidates. Despite its trait‐like stability, temporal discounting may be at least partly under contextual control. Highly arousing cues were shown to increase discounting, although evidence to date remains somewhat mixed. Whether model‐based reinforcement learning is similarly affected by arousing cues remains unclear. Here, we tested cue‐reactivity effects (erotic pictures) on subsequent temporal discounting and model‐based reinforcement learning in a within‐subjects design in n = 39 healthy heterosexual male participants. Self‐reported and physiological arousal (cardiac activity and pupil dilation) were assessed before and during cue exposure. Arousal was increased during exposure of erotic versus neutral cues both on the subjective and autonomic level. Erotic cue exposure increased discounting as reflected by more impatient choices. Hierarchical drift diffusion modeling (DDM) linked increased discounting to a shift in the starting point bias of evidence accumulation toward immediate options. Model‐based control during reinforcement learning was reduced following erotic cues according to model‐agnostic analysis. Notably, DDM linked this effect to attenuated forgetting rates of unchosen options, leaving the model‐based control parameter unchanged. Our findings replicate previous work on cue‐reactivity effects in temporal discounting and for the first time show similar effects in model‐based reinforcement learning in a heterosexual male sample. This highlights how environmental cues can impact core human decision processes and reveal that comprehensive modeling approaches can yield novel insights in reward‐based decision processes.

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“…In addition, numerous psychological phenomena (Ferencová et al, 2021; Steinhauer et al, 2022) can impact pupillometry measurements such as the anticipation of pain (Bitsios et al, 2004), emotional reactions (Henderson et al, 2014) or cognitive tasks (Hess & Polt, 1964). These phenomena are particularly difficult to control in the ED environment.…”

Section: Discussionmentioning

confidence: 99%

Comparison between pupillometry and numeric pain rating scale for pain assessments in communicating adult patients in the emergency department

Gregoire,

Charier,

de Bergeyck

et al. 2023

European Journal of Pain

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ObjectiveThe adequate assessment of pain in the emergency department (ED) can be challenging. Two dynamic pupillary measures used in conscious subjects after a surgical procedure were previously shown to correlate to the magnitude of ongoing pain. The objective of this study was to test the ability of dynamic measures derived from pupillometry to evaluate pain intensity in conscious adult patients admitted to the ED.MethodsThis prospective, interventional, single‐centre study was performed between August 2021 and January 2022 (NCT05019898). An assessment of self‐reported pain intensity was performed on ED admission by the triage nurse using a numeric rating scale (NRS). This was followed by two dynamic measures derived from pupillometry that were previously correlated with pain perception: the pupillary unrest under ambient light (PUAL) and the pupillary light reflex (PLR).ResultsAmong the 313 analysed patients, the median age was 41 years, and 52% were women. No correlation was found between self‐reported pain ratings and PUAL (r = 0.007) or PLR (baseline diameter r = −0.048; decrease r = 0.024; latency r = 0.019; slope = −0.051). Similarly, the pupillometry measures could not discriminate patients with moderate to severe pain (defined as NRS ≥4).ConclusionsPupillometry does not appear to be an effective tool to evaluate pain in the ED environment. Indeed, too many factors influencing the sympathetic system—and thus the dynamic pupillary measures—are not controllable in the ED.SignificancePupillometry does not appear to be an effective tool to evaluate pain in the ED environment.There are several possible explanations for these negative results. The factors influencing the sympathetic system—and thus the PD fluctuations—are controllable in the postoperative period but not in the ED (e.g. full bladder, hypothermia). In addition, numerous psychological phenomena can impact pupillometry measurements such as emotional reactions or cognitive tasks. These phenomena are particularly difficult to control in the ED environment.

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Publication guidelines and recommendations for pupillary measurement in psychophysiological studies

Cited by 51 publications

References 204 publications

How emotional stimuli modulate cognitive control: A meta-analytic review of studies with conflict tasks.

How emotional stimuli modulate cognitive control: A meta-analytic review of studies with conflict tasks.

Erotic cue exposure increases physiological arousal, biases choices toward immediate rewards, and attenuates model‐based reinforcement learning

Comparison between pupillometry and numeric pain rating scale for pain assessments in communicating adult patients in the emergency department

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