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Computational PsychiatryNew Perspectives on Mental Illness$
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A. David Redish and Joshua A. Gordon

Print publication date: 2016

Print ISBN-13: 9780262035422

Published to MIT Press Scholarship Online: May 2017

DOI: 10.7551/mitpress/9780262035422.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 25 February 2021

Computational Approaches for Studying Mechanisms of Psychiatric Disorders

Computational Approaches for Studying Mechanisms of Psychiatric Disorders

Chapter:
(p.77) 5 Computational Approaches for Studying Mechanisms of Psychiatric Disorders
Source:
Computational Psychiatry
Author(s):

Zeb Kurth-Nelson

John P. O’Doherty

Deanna M. Barch

Sophie Denève

Daniel Durstewitz

Michael J. Frank

Joshua A. Gordon

Sanjay J. Mathew

Yael Niv

Kerry Ressler

Heike Tost

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262035422.003.0005

Vast spectra of biological and psychological processes are potentially involved in the mechanisms of psychiatric illness. Computational neuroscience brings a diverse toolkit to bear on understanding these processes. This chapter begins by organizing the many ways in which computational neuroscience may provide insight to the mechanisms of psychiatric illness. It then contextualizes the quest for deep mechanistic understanding through the perspective that even partial or nonmechanistic understanding can be applied productively. Finally, it questions the standards by which these approaches should be evaluated. If computational psychiatry hopes to go beyond traditional psychiatry, it cannot be judged solely on the basis of how closely it reproduces the diagnoses and prognoses of traditional psychiatry, but must also be judged against more fundamental measures such as patient outcomes.

Keywords:   Strüngmann Forum Report, computational psychiatry, computational neuroscience, psychiatry, modeling, decision making, mechanisms of psychiatric illness

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