Advancing Translational Research Using NIMH Research Domain Criteria and Computational Methods

• Published in: Neuron (Cambridge, Mass.) Vol. 101; no. 5; pp. 779 - 782
• Main Authors: Sanislow, Charles A., Ferrante, Michele, Pacheco, Jennifer, Rudorfer, Matthew V., Morris, Sarah E.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 06.03.2019; Elsevier Limited
• Subjects: Behavior; Cognitive ability; computational; Computing Methodologies; FDA approval; Humans; Mental disorders; Mental Disorders - therapy; Mental health care; National Institute of Mental Health (U.S.); Nervous system; Neurosciences; Neurosciences - methods; NIMH; Precision medicine; Precision Medicine - methods; Psychopathology; Psychosis; RDoC; Researchers; Schizophrenia; Suicides & suicide attempts; Translation; translational; Translational Medical Research - methods; Translational Medical Research - organization & administration; treatment targets; United States; United States; RDoC; treatment targets; precision medicine; NIMH; translational; computational
• ISSN: 0896-6273; 1097-4199; 1097-4199
• DOI: 10.1016/j.neuron.2019.02.024

The NIMH Research Domain Criteria (RDoC) can aid in the translation of integrative neuroscience. We argue that the RDoC framework, with its emphasis on integration across units of analysis, leveraged with computational approaches, can organize intermediary treatment targets and clinical outcomes, augmenting the translational stream. NIMH’s Research Domain Criteria is a framework for dimensional, trans-diagnostic research on mental disorders. Sanislow et al. discuss ways in which research leveraging computational methods can identify intermediary treatment targets and accelerate translational progress.