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Constructing constructs for psychopathology: The NIMH research domain criteria.

Authors: Bruce N, Cuthbert; Michael J, Kozak;

Constructing constructs for psychopathology: The NIMH research domain criteria.

Abstract

As a commentary for the special section on Reconceptualizing the Classification of Mental Disorders, this article begins with a description of the impetus for the U.S. National Institute of Mental Health's (NIMH) Research Domain Criteria (RDoC) initiative and provides an update of progress on that initiative to date. The commentary then engages the articles in this special section, beginning with a response to Berenbaum's concern that the RDoC approach to sorting constructs across multiple units of analysis espouses a de facto biological fundamentalism. This leads us to delineate the relationship between RDoC and the NIMH priorities relevant to this initiative. The commentary then considers how Patrick's iterative "construct-network" method can be applied to RDoC construct validation, highlighting several aspects that are particularly useful. One aspect of this work involves determining subject inclusion and exclusion criteria that provide an appropriate range of variance. Finally, this commentary considers the Bilder group's article, explicating the ways in which multilevel models can foster development of hypotheses and informatics approaches needed for further RDoC progress.

Keywords

Diagnostic and Statistical Manual of Mental Disorders, Biomedical Research, Psychopathology, Mental Disorders, Neural Pathways, Humans, National Institute of Mental Health (U.S.), United States

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Powered by OpenAIRE graph
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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!
308
Top 1%
Top 1%
Top 0.1%
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