UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Annual Research Review: Developmental computational psychiatry

Hauser, TU; Will, G-J; Dubois, M; Dolan, RJ; (2019) Annual Research Review: Developmental computational psychiatry. Journal of Child Psychology and Psychiatry , 60 (4) pp. 412-426. 10.1111/jcpp.12964. Green open access

[img]
Preview
Text
Hauser_JCPP_DevelopmentalComputationalPsychiatry_acceptedManuscript.pdf - Accepted version

Download (647kB) | Preview

Abstract

Most psychiatric disorders emerge during childhood and adolescence. This is also a period that coincides with the brain undergoing substantial growth and reorganisation. However, it remains unclear how a heightened vulnerability to psychiatric disorder relates to this brain maturation. Here, we propose ‘developmental computational psychiatry’ as a framework for linking brain maturation to cognitive development. We argue that through modelling some of the brain's fundamental cognitive computations, and relating them to brain development, we can bridge the gap between brain and cognitive development. This in turn can lead to a richer understanding of the ontogeny of psychiatric disorders. We illustrate this perspective with examples from reinforcement learning and dopamine function. Specifically, we show how computational modelling deepens an understanding of how cognitive processes, such as reward learning, effort learning, and social learning might go awry in psychiatric disorders. Finally, we sketch the promises and limitations of a developmental computational psychiatry.

Type: Article
Title: Annual Research Review: Developmental computational psychiatry
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/jcpp.12964
Publisher version: https://doi.org/10.1111/jcpp.12964
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Developmental computational psychiatry, reinforcement learning, prediction error, dopamine, self‐esteem, apathy, motivation
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10053684
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item