title: Clashing Diagnostic Approaches: DSM-ICD Versus RDoC.
abstract: Since at least the middle of the past century, one overarching model of psychiatric classification has reigned supreme, namely, that of the Diagnostic and Statistical Manual of Mental Disorders and the International Statistical Classification of Diseases and Related Health Problems (herein referred to as DSM-ICD). This DSM-ICD approach embraces an Aristotelian view of mental disorders as largely discrete entities that are characterized by distinctive signs, symptoms, and natural histories. Over the past several years, however, a competing vision, namely, the Research Domain Criteria (RDoC) initiative launched by the National Institute of Mental Health, has emerged in response to accumulating anomalies within the DSM-ICD system. In contrast to DSM-ICD, RDoC embraces a Galilean view of psychopathology as the product of dysfunctions in neural circuitry. RDoC appears to be a valuable endeavor that holds out the long-term promise of an alternative system of mental illness classification. We delineate three sets of pressing challenges--conceptual, methodological, and logistical/pragmatic--that must be addressed for RDoC to realize its scientific potential. We conclude with a call for further research, including investigation of a rapprochement between Aristotelian and Galilean approaches to psychiatric classification.
authors: Department of Psychology, Emory University, Atlanta, Georgia 30322; email: slilien@emory.edu.
authors: Scott O
authors: SO
authors: Lilienfeld
authors: Department of Psychology, Emory University, Atlanta, Georgia 30322; email: slilien@emory.edu.
authors: Michael T
authors: MT
authors: Treadway
mesh_terms: D039721:Diagnostic and Statistical Manual of Mental Disorders; D006801:Humans; D038801:International Classification of Diseases; D001523:Mental Disorders / Q000145:classification / Q000175:diagnosis*; D009315:National Institute of Mental Health (U.S.) / Q000592:standards*; D014481:United States; D018875:Vocabulary, Controlled
keywords: classification; comorbidity; diagnosis; dimension; endophenotype