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Abnormal reward functioning across substance use disorders and major depressive disorder: Considering reward as a transdiagnostic mechanism

研究领域标准 心理学 奖励制度 机制(生物学) 神经影像学 报酬依赖 药物滥用 临床心理学 认知心理学 神经科学 精神科 精神病理学 求新 社会心理学 哲学 认识论 人格 性情
作者
Arielle Baskin–Sommers,Dan Foti
出处
期刊:International Journal of Psychophysiology [Elsevier]
卷期号:98 (2): 227-239 被引量:124
标识
DOI:10.1016/j.ijpsycho.2015.01.011
摘要

A common criticism of the Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 2013) is that its criteria are based more on behavioral descriptions than on underlying biological mechanisms. Increasingly, calls have intensified for a more biologically-based approach to conceptualizing, studying, and treating psychological disorders, as exemplified by the Research Domain Criteria Project (RDoC). Among the most well-studied neurobiological mechanisms is reward processing. Moreover, individual differences in reward sensitivity are related to risk for substance abuse and depression. The current review synthesizes the available preclinical, electrophysiological, and neuroimaging literature on reward processing from a transdiagnostic, multidimensional perspective. Findings are organized with respect to key reward constructs within the Positive Valence Systems domain of the RDoC matrix, including initial responsiveness to reward (physiological ‘liking’), approach motivation (physiological ‘wanting’), and reward learning/habit formation. In the current review, we (a) describe the neural basis of reward, (b) elucidate differences in reward activity in substance abuse and depression, and (c) suggest a framework for integrating these disparate literatures and discuss the utility of shifting focus from diagnosis to process for understanding liability and co-morbidity. Ultimately, we believe that an integrative focus on abnormal reward functioning across the full continuum of clinically heterogeneous samples, rather than within circumscribed diagnostic categories, might actually help to refine the phenotypes and improve the prediction of onset and recovery of these disorders.
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