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Journal ArticleDOI

Constructing constructs for psychopathology: the NIMH research domain criteria.

TLDR
A description of the impetus for the U.S. National Institute of Mental Health's (NIMH) Research Domain Criteria (RDoC) initiative is described and an update of progress on that initiative to date is provided.
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.

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Citations
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Psychometrics and the neuroscience of individual differences: Internal consistency limits between-subjects effects.

TL;DR: How variability in the internal consistency of neural measures limits between-subjects (i.e., individual differences) effects is demonstrated and internal consistency reliability should be routinely reported in all individual differences studies.
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Network destabilization and transition in depression: New methods for studying the dynamics of therapeutic change.

TL;DR: A working model of therapeutic change with potential to organize findings from psychopathology and treatment research, suggest new ways to study change, facilitate comparisons across studies, and stimulate treatment innovation is proposed.
Journal ArticleDOI

The role of dynamic risk factors in the explanation of offending

TL;DR: In this paper, the authors discuss the role of dynamic risk factors in the development of explanations of crime and conclude that they are valuable predictors of recidivism and that suitably reconstructed they can serve an important methodological function in identifying the causes of crime this paper.
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Understanding suicide risk within the Research Domain Criteria (RDoC) framework: A meta‐analytic review

TL;DR: The National Institute of Mental Health's Research Domain Criteria (RDoC) provides a framework that may help advance research on suicidal behavior.
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Quantifying Inhibitory Control as Externalizing Proneness: A Cross-Domain Model:

TL;DR: In this paper, the authors quantify the construct of inhibitory control (inhibition-disinhibition) as the individual difference dimension tapped by self-report, task-behavioral, and brain response indicators of susceptibility to disinhibitory problems.
References
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Journal ArticleDOI

Diagnostic and Statistical Manual of Mental Disorders

TL;DR: An issue concerning the criteria for tic disorders is highlighted, and how this might affect classification of dyskinesias in psychotic spectrum disorders.
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Telling more than we can know: Verbal reports on mental processes.

TL;DR: In this paper, it was shown that people are sometimes unaware of the existence of a stimulus that influenced a response, unaware of its existence, and unaware that the stimulus has affected the response.
Journal ArticleDOI

Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology.

TL;DR: A meta-analysis of a liability spectrum model of comorbidity is presented, in which specific mental disorders are understood as manifestations of latent liability factors that explain comorbridity by virtue of their impact on multiple disorders.
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