Ciria, LF;
Suarez Pinilla, M;
Williams, AG;
Jagannathan, SR;
Sanabria, D;
Bekinschtein, TA;
(2021)
Different underlying mechanisms for high and low arousal in probabilistic learning in humans.
Cold Spring Harbor Laboratory
![[thumbnail of 2021.02.26.431959v1.full.pdf]](https://discovery.ucl.ac.uk/style/images/fileicons/text.png) |
Text
2021.02.26.431959v1.full.pdf - Submitted Version Available under License : See the attached licence file. Download (880kB) |
Abstract
Humans are uniquely capable of adapting to highly changing environments by updating relevant information and adjusting ongoing behaviour accordingly. Here we show how this ability —termed cognitive flexibility— is differentially modulated by high and low arousal fluctuations. We implemented a probabilistic reversal learning paradigm in healthy participants as they transitioned towards sleep or physical extenuation. The results revealed, in line with our pre-registered hypotheses, that low arousal leads to diminished behavioural performance through increased decision volatility, while performance decline under high arousal was attributed to increased perseverative behaviour. These findings provide evidence for distinct patterns of maladaptive decision-making on each side of the arousal inverted u-shaped curve, differentially affecting participants’ ability to generate stable evidence-based strategies, and introduces wake-sleep and physical exercise transitions as complementary experimental models for investigating neural and cognitive dynamics.
| Type: | Working / discussion paper |
|---|---|
| Title: | Different underlying mechanisms for high and low arousal in probabilistic learning in humans |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1101/2021.02.26.431959 |
| Publisher version: | https://doi.org/10.1101/2021.02.26.431959 |
| Language: | English |
| Additional information: | The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Keywords: | cognition, levels of consciousness, levels of alertness, probabilistic reversal learning |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10131630 |
Archive Staff Only
 |
View Item |
