TY - JOUR
T1 - Drift diffusion model of reward and punishment learning in schizophrenia : modeling and experimental data
AU - Moustafa, Ahmed A.
AU - Kéri, Szabolcs
AU - Somlai, Zsuzsanna
AU - Balsdon, Tarryn
AU - Frydecka, Dorota
AU - Misiak, Blazej
AU - White, Corey
PY - 2015
Y1 - 2015
N2 - In this study, we tested reward- and punishment learning performance using a probabilistic classification learning task in patients with schizophrenia (n = 37) and healthy controls (n = 48). We also fit subjects’ data using a Drift Diffusion Model (DDM) of simple decisions to investigate which components of the decision process differ between patients and controls. Modeling results show between-group differences in multiple components of the decision process. Specifically, patients had slower motor/encoding time, higher response caution (favoring accuracy over speed), and a deficit in classification learning for punishment, but not reward, trials. The results suggest that patients with schizophrenia adopt a compensatory strategy of favoring accuracy over speed to improve performance, yet still show signs of a deficit in learning based on negative feedback. Our data highlights the importance of applying fitting models (particularly drift diffusion models) to behavioral data. The implications of these findings are discussed relative to theories of schizophrenia and cognitive processing.
AB - In this study, we tested reward- and punishment learning performance using a probabilistic classification learning task in patients with schizophrenia (n = 37) and healthy controls (n = 48). We also fit subjects’ data using a Drift Diffusion Model (DDM) of simple decisions to investigate which components of the decision process differ between patients and controls. Modeling results show between-group differences in multiple components of the decision process. Specifically, patients had slower motor/encoding time, higher response caution (favoring accuracy over speed), and a deficit in classification learning for punishment, but not reward, trials. The results suggest that patients with schizophrenia adopt a compensatory strategy of favoring accuracy over speed to improve performance, yet still show signs of a deficit in learning based on negative feedback. Our data highlights the importance of applying fitting models (particularly drift diffusion models) to behavioral data. The implications of these findings are discussed relative to theories of schizophrenia and cognitive processing.
KW - Drift Diffusion Model
KW - decision making
KW - punishment
KW - reinforcement learning
KW - schizophrenia
UR - http://handle.uws.edu.au:8081/1959.7/uws:30236
U2 - 10.1016/j.bbr.2015.05.024
DO - 10.1016/j.bbr.2015.05.024
M3 - Article
SN - 0166-4328
VL - 291
SP - 147
EP - 154
JO - Behavioural Brain Research
JF - Behavioural Brain Research
ER -