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[The RDoC Project: the neuropsychiatric classification of tomorrow?].

Authors: Steeves, Demazeux; Vincent, Pidoux;

[The RDoC Project: the neuropsychiatric classification of tomorrow?].

Abstract

This article gives a synthesis and overview of the history, methodological principles and scientific and media reception of the Research Domain Criteria (RDoC) Project launched in 2009 by the National Institute of Mental Health (NIMH). It is shown how the RDoC project opposes on several points the Diagnostic and Statistical Manual of mental disorders (DSM), but most particularly by focusing on the normal functioning of the brain with data from genetics, cognitive neuroscience and behavioral sciences. It is argued that this project is a bet on the future and that its success largely depends on the adhesion of the American researchers to the new framework it offers. However, paradoxically, this framework is still to be built.

Keywords

Diagnostic and Statistical Manual of Mental Disorders, Humans, Neuropsychiatry, National Institute of Mental Health (U.S.), United States, Forecasting

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Average
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