Action initiation and punishment learning differ from childhood to adolescence while reward learning remains stable

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Ruth Pauli - , University of Birmingham (Author)
  • Inti A Brazil - , Radboud University Medical Center (Author)
  • Gregor Kohls - , Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital Aachen (Author)
  • Miriam C Klein-Flügge - , University of Oxford (Author)
  • Jack C Rogers - , University of Birmingham (Author)
  • Dimitris Dikeos - , National and Kapodistrian University of Athens (Author)
  • Roberta Dochnal - , University of Szeged (Author)
  • Graeme Fairchild - , University of Bath (Author)
  • Aranzazu Fernández-Rivas - , Hospital de Basurto (Author)
  • Beate Herpertz-Dahlmann - , University Hospital Aachen (Author)
  • Amaia Hervas - , University Hospital Mutua Terrassa (Author)
  • Kerstin Konrad - , University Hospital Aachen (Author)
  • Arne Popma - , Amsterdam University Medical Centers (UMC) (Author)
  • Christina Stadler - , University of Basel (Author)
  • Christine M Freitag - , University Hospital Frankfurt (Author)
  • Stephane A De Brito - , University of Birmingham (Author)
  • Patricia L Lockwood - , University of Birmingham (Author)

Abstract

Theoretical and empirical accounts suggest that adolescence is associated with heightened reward learning and impulsivity. Experimental tasks and computational models that can dissociate reward learning from the tendency to initiate actions impulsively (action initiation bias) are thus critical to characterise the mechanisms that drive developmental differences. However, existing work has rarely quantified both learning ability and action initiation, or it has relied on small samples. Here, using computational modelling of a learning task collected from a large sample (N = 742, 9-18 years, 11 countries), we test differences in reward and punishment learning and action initiation from childhood to adolescence. Computational modelling reveals that whilst punishment learning rates increase with age, reward learning remains stable. In parallel, action initiation biases decrease with age. Results are similar when considering pubertal stage instead of chronological age. We conclude that heightened reward responsivity in adolescence can reflect differences in action initiation rather than enhanced reward learning.

Details

Original languageEnglish
Article number5689
Number of pages15
JournalNature communications
Volume14 (2023)
Issue number1
Publication statusPublished - 14 Sept 2023
Peer-reviewedYes

External IDs

PubMedCentral PMC10502052
Scopus 85170822309

Keywords

Keywords

  • Child, Humans, Adolescent, Punishment, Cognition, Learning, Computer Simulation, Reward