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Realizing the Clinical Potential of Computational Psychiatry: Report from the Banbury Center Meeting, February 2019

Authors :
Christopher H. Chatham
Katharina Schmack
Rebecca P. Lawson
Mary L. Phillips
Martin P. Paulus
Miriam Sebold
Cameron S. Carter
Peter Dayan
Diego A. Pizzagalli
Janaina Mourao-Miranda
Quentin J. M. Huys
Roshan Cools
Adam Kepecs
Catherine A. Hartley
Klaas E. Stephan
James M. Gold
Michael J. Frank
Rita Z. Goldstein
Jonathan P. Roiser
Michael Browning
Claire M. Gillan
David Rindskopf
Hanneke E. M. den Ouden
Daniela Schiller
Justin T. Baker
Adam M Chekroud
Albert R. Powers
University of Zurich
Browning, Michael
Source :
Biological Psychiatry, Biological Psychiatry, 88, E5-E10, Biological Psychiatry, 88, 2, pp. E5-E10

Abstract

Computational psychiatry is an emerging field that examines phenomena in mental illness using formal techniques from computational neuroscience, mathematical psychology, and machine learning. These techniques can be used in a theory-driven manner to gain insight into neural or cognitive processes and in a data-driven way to identify predictive and explanatory relationships in complex datasets. The approaches complement each other: theory-driven models can be used to infer mechanisms, and the resulting measurements can be used in data-driven approaches for prediction. Recent computational studies have successfully described and measured novel mechanisms in a range of disorders, have framed disorders in new and informative ways, and have identified predictors of treatment response. These methods hold the potential to improve identification of relevant clinical variables and could be superior to classification based on traditional behavioral or neural data alone. However, these promising results have been slow to influence clinical practice or to improve patient outcomes.

Details

ISSN :
00063223
Database :
OpenAIRE
Journal :
Biological Psychiatry, Biological Psychiatry, 88, E5-E10, Biological Psychiatry, 88, 2, pp. E5-E10
Accession number :
edsair.doi.dedup.....018f1c163a6222d0a9dc94aa673c9f91