Computational psychiatry is a rapidly growing field. As it matures, questions about how to synthesise the burgeoning literature become ever-more important. In this talk, I will briefly summarise and introduce meta-analytic considerations and techniques that can be used, particularly those that exploit some of the unique properties of computational modelling. I will then highlight a specific application from my own research – a meta-analysis of reinforcement learning in mood and anxiety disorders. Finally, I will discuss how, in the context of computational psychiatry, some general meta-analytic limitations are overcome, whilst other novel limitations arise – and the broader field-specific assumptions that these issues shed light on.


Dr. Alexandra Pike

Lecturer, Department of Psychology, University of York

Alexandra Pike – Meta-analysis in computational psychiatry