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Literature DB >> 31017638

The Two Cultures of Computational Psychiatry.

Daniel Bennett¹, Steven M Silverstein^2,3, Yael Niv^1,4.

Abstract

Entities: Chemical

Mesh：

Year: 2019 PMID： 31017638 PMCID： PMC8813275 DOI： 10.1001/jamapsychiatry.2019.0231

Source DB: PubMed Journal: JAMA Psychiatry ISSN： 2168-622X Impact factor: 21.596

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5 in total

1. Pragmatism Instead of Mechanism: A Call for Impactful Biological Psychiatry.

Authors: Martin P Paulus
Journal: JAMA Psychiatry Date: 2015-07 Impact factor: 21.596

Review 2. Computational psychiatry as a bridge from neuroscience to clinical applications.

Authors: Quentin J M Huys; Tiago V Maia; Michael J Frank
Journal: Nat Neurosci Date: 2016-03 Impact factor: 24.884

3. Personalized prediction of antidepressant v. placebo response: evidence from the EMBARC study.

Authors: Christian A Webb; Madhukar H Trivedi; Zachary D Cohen; Daniel G Dillon; Jay C Fournier; Franziska Goer; Maurizio Fava; Patrick J McGrath; Myrna Weissman; Ramin Parsey; Phil Adams; Joseph M Trombello; Crystal Cooper; Patricia Deldin; Maria A Oquendo; Melvin G McInnis; Quentin Huys; Gerard Bruder; Benji T Kurian; Manish Jha; Robert J DeRubeis; Diego A Pizzagalli
Journal: Psychol Med Date: 2018-07-02 Impact factor: 7.723

4. Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis.

Authors: Quentin Jm Huys; Diego A Pizzagalli; Ryan Bogdan; Peter Dayan
Journal: Biol Mood Anxiety Disord Date: 2013-06-19

Review 5. Dissecting psychiatric spectrum disorders by generative embedding.

Authors: Kay H Brodersen; Lorenz Deserno; Florian Schlagenhauf; Zhihao Lin; Will D Penny; Joachim M Buhmann; Klaas E Stephan
Journal: Neuroimage Clin Date: 2013-11-16 Impact factor: 4.881

5 in total

6 in total

Review 1. [Computational psychiatry : Data-driven vs. mechanistic approaches].

Authors: Jakob Kaminski; Teresa Katthagen; Florian Schlagenhauf
Journal: Nervenarzt Date: 2019-11 Impact factor: 1.214

2. Mapping infant neurodevelopmental precursors of mental disorders: How synthetic cohorts & computational approaches can be used to enhance prediction of early childhood psychopathology.

Authors: Joan Luby; Norrina Allen; Ryne Estabrook; Daniel S Pine; Cynthia Rogers; Sheila Krogh-Jespersen; Elizabeth S Norton; Lauren Wakschlag
Journal: Behav Res Ther Date: 2019-09-26

The Two Cultures of Computational Psychiatry.

1. Pragmatism Instead of Mechanism: A Call for Impactful Biological Psychiatry.

Review 2. Computational psychiatry as a bridge from neuroscience to clinical applications.

3. Personalized prediction of antidepressant v. placebo response: evidence from the EMBARC study.

4. Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis.

Review 5. Dissecting psychiatric spectrum disorders by generative embedding.

Review 1. [Computational psychiatry : Data-driven vs. mechanistic approaches].

2. Mapping infant neurodevelopmental precursors of mental disorders: How synthetic cohorts & computational approaches can be used to enhance prediction of early childhood psychopathology.

3. A memory-based theory of emotional disorders.

4. Toward a unified framework for interpreting machine-learning models in neuroimaging.

5. A machine learning case-control classifier for schizophrenia based on DNA methylation in blood.

6. AI ethics in computational psychiatry: From the neuroscience of consciousness to the ethics of consciousness.