Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning.
Attention deficit hyperactivity disorder (ADHD) is characterized by altered decision-making (DM) and reinforcement learning (RL), for which competing theories propose alternative explanations. Computational modelling contributes to understanding DM and RL by integrating behavioural and neurobiological findings, and could elucidate pathogenic mechanisms behind ADHD. This review of neurobiological theories of ADHD describes predictions for the effect of ADHD on DM and RL as described by the drift-diffusion model of DM (DDM) and a basic RL model. Empirical studies employing these models are also reviewed. While theories often agree on how ADHD should be reflected in model parameters, each theory implies a unique combination of predictions. Empirical studies agree with the theories' assumptions of a lowered DDM drift rate in ADHD, while findings are less conclusive for boundary separation. The few studies employing RL models support a lower choice sensitivity in ADHD, but not an altered learning rate. The discussion outlines research areas for further theoretical refinement in the ADHD field.
Institute of Clinical Medicine, University of Oslo, PO box 1171, Blindern, 0318 Oslo, Norway; Department of Psychology, University of Oslo, PO box 1094, Blindern, 0317 Oslo, Norway. Electronic address: sigurdziegler@gmail.com.
Sigurd
S
Ziegler
Department of Psychology, University of Oslo, PO box 1094, Blindern, 0317 Oslo, Norway; The Intervention Centre, Oslo University Hospital Rikshospitalet, PO box 4950, Nydalen, 0424 Oslo, Norway.
Mads L
ML
Pedersen
Department of Psychology, University of Oslo, PO box 1094, Blindern, 0317 Oslo, Norway.
Athanasia M
AM
Mowinckel
Department of Psychology, University of Oslo, PO box 1094, Blindern, 0317 Oslo, Norway; Norwegian Institute of Public Health, PO box 4404, Nydalen, 0403 Oslo, Norway. Electronic address: guido.biele@neuro-cognition.org.
Guido
G
Biele
D001289:Attention Deficit Disorder with Hyperactivity; D001921:Brain; D003657:Decision Making; D006801:Humans; D007858:Learning; D012054:Reinforcement, Psychology
Attention deficit hyperactivity disorder; Computational model; Computational psychiatry; Decision-making; Dopamine; Dopamine transfer deficit theory; Drift-diffusion model; Dynamic developmental theory; Moderate brain arousal model; Neurobiology; Noradrenaline; Pathogenesis; Prediction error; Reinforcement learning