Abstract
Theoretical and empirical accounts of conduct disorder (CD) suggest problems with reinforcement learning as well as heightened impulsivity. These two facets can manifest in similar behaviour, such as risk-taking. Computational models that can dissociate learning from impulsively initiating actions are essential for understanding the cognitive mechanisms underlying CD.
Methods
A large, international sample of youths from 11 European countries (N = 1418, typically developing (TD) n = 742, CD n = 676) completed a learning task. We used computational modelling to disentangle reward and punishment learning from action initiation.
Results
Punishment learning rates were significantly reduced in youths with CD compared to their TD peers, suggesting that they did not update their actions based on punishment outcomes as strongly. Intriguingly, those with CD also had a greater tendency to initiate actions regardless of outcomes, although their ability to learn from reward was comparable to their TD peers. We additionally observed that variability in action initiation correlated with self-reported impulsivity in youths with CD.
Conclusions
These findings provide empirical support for a reduced ability to learn from punishment in CD, while reward learning is typical. Our results also suggest that behaviours appearing superficially to reflect reward learning differences could reflect heightened impulsive action initiation instead. Such asymmetric learning from reward and punishment, with increased action initiation, could have important implications for tailoring learning-based interventions to help those with CD.
Original language | English |
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Journal | Biological Psychiatry |
Early online date | 14 Mar 2025 |
DOIs | |
Publication status | E-pub ahead of print - 14 Mar 2025 |
Funding
R.P was supported by an Economic and Social Research Council post-doctoral fellowship award (ES/V011324/1). This work was also supported by a Medical Research Council Fellowship (MR/P014097/2), a Jacobs Foundation Research Fellowship, a Leverhulme Prize (PLP-2021-196), a Wellcome Trust/Royal society Sir Henry Dale Fellowship (223264/Z/21/Z) and a UKRI EPSRC Frontiers Research Guarantee/ERC Starting Grant (EP/X020215/1) to P. L. Lockwood. G.K was supported by a 2023 NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation (BBRF; Grant No. 30849). During the writing of this manuscript, SADB was supported by a grant from the Economic and Social Research Council (grant ES/V003526/1). TUH was supported by a Sir Henry Dale Fellowship (211155/Z/18/Z; 211155/Z/18/B; 224051/Z/21) from Wellcome Trust and The Royal Society. TUH is also supported by the Carl-Zeiss-Stiftung. The FemNat-CD consortium was funded by the European Commission under the 7th Framework Health Program, Grant Agreement no. 602407. GF was supported by a grant from the Medical Research Council (MR/T002816/1).
Funders | Funder number |
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Economic and Social Research Council | ES/V011324/1, ES/V003526/1 |
Medical Research Council | MR/P014097/2 , MR/T002816/1 |
UK Research & Innovation | EP/X020215/1 |