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Regularity detection under stress: Faster extraction of probability-based regularities

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  • Eszter Tóth-Fáber
  • Karolina Janacsek
  • Ágnes Szőllősi
  • Szabolcs Kéri
  • Dezso Nemeth

Abstract

Acute stress can crucially influence learning and memory processes. One of the key processes underlying human learning and memory is the ability of our brain to rapidly detect and extract regularities from sensory input across time and space leading to effective predictive processing. Here, we aimed to get an in-depth look into the effect of stress on the acquisition of two aspects of regularity extraction. We examined whether and how stress affects the learning (1) of probability-based regularities and (2) of serial order-based regularities in the same experimental design, and (3) the explicit access to the acquired information. Considering that the acquisition of probability-based regularities is a relatively rapid process, we primarily focused on the early phase of the task. We induced stress with the Socially Evaluated Cold Pressor Test in 27 young adults, while 26 participants were enrolled in the control group. Salivary cortisol levels and subjective ratings of affective states showed successful stress induction. After the stress induction, we measured regularity extraction with the cued Alternating Serial Reaction Time task. We found that stress promoted the extraction of probability-based regularities measured by the learning performance in the early phase of the task and did not alter the learning of serial order-based regularities. Post-block reports showed weaker explicit access to the serial order-based regularities in the stress group. Our results can contribute to a process-level understanding on how stress alters learning and memory functions related to predictive processes.

Suggested Citation

  • Eszter Tóth-Fáber & Karolina Janacsek & Ágnes Szőllősi & Szabolcs Kéri & Dezso Nemeth, 2021. "Regularity detection under stress: Faster extraction of probability-based regularities," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-20, June.
  • Handle: RePEc:plo:pone00:0253123
    DOI: 10.1371/journal.pone.0253123
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