TY - JOUR
T1 - Action initiation and punishment learning differ from childhood to adolescence while reward learning remains stable
AU - Pauli, Ruth
AU - Brazil, Inti A.
AU - Kohls, Gregor
AU - Klein-Flügge, Miriam C.
AU - Rogers, Jack C.
AU - Dikeos, Dimitris
AU - Dochnal, Roberta
AU - Fairchild, Graeme
AU - Fernández-Rivas, Aranzazu
AU - Herpertz-Dahlmann, Beate
AU - Hervas, Amaia
AU - Konrad, Kerstin
AU - Popma, Arne
AU - Stadler, Christina
AU - Freitag, Christine M.
AU - de Brito, Stephane A.
AU - Lockwood, Patricia L.
N1 - Funding Information:
R.P was supported by an ESRC post-doctoral fellowship award (ES/V011324/1). P.L was supported by a Medical Research Council Fellowship (MR/P014097/1 and MR/P014097/2), a Sir Henry Dale Fellowship funded by the Wellcome Trust and the Royal Society (223264/Z/21/Z), and a Jacobs Foundation Research Fellowship. S.A.B.D was supported by an ESRC grant (ES/V003526/1). The FemNAT-CD project was funded by the European Commission under the 7th Framework Health Program, Grant Agreement no. 602407. We are grateful to all our participants and their families, to other members of the FemNAT-CD project, and to Jo Cutler, Anthony Gabay, Tobias Hauser, Marco Wittmann, and Stefano Palminteri for helpful discussions and advice.
Publisher Copyright:
© 2023, Springer Nature Limited.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85170822309
U2 - 10.1038/s41467-023-41124-w
DO - 10.1038/s41467-023-41124-w
M3 - Article
C2 - 37709750
SN - 2041-1723
VL - 14
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 5689
ER -