'What's up, (R)DoC?'--can identifying core dimensions of early functioning help us understand, and then reduce, developmental risk for mental disorders?

In the U.S. the National Institute of Mental Health (NIMH), the main funder of mental health research in the world, has recently changed its funding model to promote a radically new perspective for mental health science. This bold, and for some controversial, initiative, termed the Research Diagnostic Criteria (or RDoC for short), intends to shift the focus of research, and eventually clinical practice, away from existing diagnostic categories, as recently updated in the DSM-5, towards 'new ways of classifying psychopathology based on dimensions of observable behavior and neurobiological measures.' This reorientation from discrete categorical disorder manifestations to underlying cross-cutting dimensions of individual functioning has generated considerable debate across the community of mental health researchers and clinicians (with strong views voiced both pro and con). Given its pivotal role in defining the research agenda globally, there is little doubt that this US science funding initiative will also have ramifications for researchers and clinicians worldwide. In this Editorial we focus specifically on the translational potential of the dimensional RDoC approach, properly extended to developmental models of early risk, in terms of its value as a potential driver of early intervention/prevention models; in the current issue of the JCPP this is exemplified by a number of papers thata address the mapping of underlying dimensions of core functioning to disorder risk, providing evidence for their potential predictive power as early markers of later disorder processes.