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Adaptive arousal regulation: Pharmacologically shifting the peak of the Yerkes–Dodson curve by catecholaminergic enhancement of arousal

  • Lola Beerendonk*
  • , Jorge F. Mejías*
  • , Stijn A. Nuiten
  • , Jan Willem de Gee
  • , Jasper B. Zantvoord
  • , Johannes J. Fahrenfort
  • , Simon van Gaal*
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Performance typically peaks at moderate arousal levels, consistent with the Yerkes–Dodson law, as confirmed by recent human and mouse pupillometry studies. Arousal states are influenced by neuromodulators like catecholamines (noradrenaline and dopamine) and acetylcholine. To investigate their contributions to this law, we pharmacologically enhanced arousal while measuring human decision-making and spontaneous arousal fluctuations via pupil size. The catecholaminergic agent atomoxetine increased overall arousal and shifted the entire arousal–performance curve, suggesting a relative arousal mechanism where performance adapts to arousal fluctuations within arousal states. In contrast, the cholinergic agent donepezil did not measurably affect arousal or the curve. We modeled these findings in a neurobiologically plausible computational framework, showing how catecholaminergic modulation alters a disinhibitory neural circuit that encodes sensory evidence for decision-making. This work suggests that performance adapts flexibly to arousal fluctuations, ensuring optimal performance in each and every global arousal state.

Original languageEnglish
Article numbere2419733122
JournalProceedings of the National Academy of Sciences of the United States of America
Volume122
Issue number28
Early online date7 Jul 2025
DOIs
Publication statusPublished - 15 Jul 2025

Bibliographical note

Publisher Copyright:
Copyright © 2025 the Author(s).

Funding

ACKNOWLEDGMENTS. This research was supported by an ERC Starting Grant from the H2020 European Research Council (ERC STG 715605 to S.v.G.), a Research Talent Grant from the Dutch Research Council (NWO; 406.17.531 to L.B. and S.v.G.) and a Nederlandse Organisatie voor Wetenschappelijk Onderzoek Nationale Wetenschapsagenda-Onderzoek op Routes door Consortia grant NWA.1292.19.298 (to J.F.M.).

Keywords

  • arousal
  • brain state
  • computational modeling
  • decision-making
  • pharmacology

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