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

Browning, M., Carter, C., Chatham, C., Den Ouden, H., Gillan, C., Baker, J., et al. (2020). Realizing the Clinical Potential of Computational Psychiatry: Report from the Banbury Center Meeting, February 2019. Biological Psychiatry, 88(2), e5-e10. doi:10.1016/j.biopsych.2019.12.026.

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 Creators:
Browning, M, Author
Carter, CS, Author
Chatham, C, Author
Den Ouden, H, Author
Gillan, CM, Author
Baker, JT, Author
Chekroud, AM, Author
Cools, R, Author
Dayan, P1, 2, Author           
Gold, J, Author
Goldstein, RZ, Author
Hartley, CA, Author
Kepecs, A, Author
Lawson, RP, Author
Mourao-Miranda, J, Author
Phillips, ML, Author
Pizzagalli, DA, Author
Powers, A, Author
Rindskopf, D, Author
Roiser, JP, Author
Schmack, K, AuthorSchiller, D, AuthorSebold, M, AuthorStephan, KE, AuthorFrank, MJ, AuthorHuys, Q, AuthorPaulus, M, Author more..
Affiliations:
1Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3017468              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: In February 2019 a workshop was convened at the Banbury Centre at Cold Spring Harbor, NY. The purpose of the meeting was to identify key developments required in the practice and infrastructure of computational psychiatry research to accelerate its ability to address real world clinical problems in the near future. This report provides a summary of the conclusions of the meeting. At its core are suggestions to improve the measurement properties of computational assays through a rapid, iterative process that leverages coordinated waves of online and clinical testing, followed by deployment of the assays in innovative study designs to address clinically relevant questions. We particularly focus on theory-driven tasks but, where possible, the potential of data-driven approaches is also highlighted. Finally, the report suggests that for the promise of computational psychiatry to be realized, the research environment must be developed to encourage large-scale, collaborative, interdisciplinary consortia.

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 Dates: 2020-022020-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.biopsych.2019.12.026
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Title: Banbury Center Meeting 2019
Place of Event: Huntington, NY, USA
Start-/End Date: 2019-02

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Title: Biological Psychiatry
  Other : Biol. Psychiatry
Source Genre: Journal
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Publ. Info: New York : Elsevier
Pages: - Volume / Issue: 88 (2) Sequence Number: - Start / End Page: e5 - e10 Identifier: ISSN: 0006-3223
CoNE: https://pure.mpg.de/cone/journals/resource/954925384111