Modeling the onset of a depressive episode: A self-regulation perspective.
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2021-04-21
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Abstract
Major depression is an episodic disorder which, for many individuals, has its onset in a distinct change of emotional state which then persists over time. The present article explores the utility of combining a dynamical systems approach to depression, focusing specifically on the change of state associated with episode onset, with a self-regulation perspective, which operationalizes how feedback received in the ongoing process of goal pursuit influences affect, motivation, and behavior, for understanding how a depressive episode begins. The goals of this review are to survey the recent literature modeling the onset of a depressive episode and to illustrate how a self-regulation perspective can provide a conceptual framework and testable hypotheses regarding episode onset within a dynamical systems model of depression.
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Strauman, Timothy J (2021). Modeling the onset of a depressive episode: A self-regulation perspective. Current opinion in psychology, 41. pp. 100–106. 10.1016/j.copsyc.2021.04.003 Retrieved from https://hdl.handle.net/10161/24769.
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Timothy J. Strauman
Professor Strauman's research focuses on the psychological and neurobiological processes that enable self-regulation, conceptualized in terms of a cognitive/motivational perspective, as well as the relation between self-regulation and affect. Particular areas of emphasis include: (1) conceptualizing self-regulation in terms of brain/behavior motivational systems; (2) the role of self-regulatory cognitive processes in vulnerability to depression and other disorders; (3) the impact of treatments for depression, such as psychotherapy and medication, on self-regulatory function and dysfunction in depression; (4) how normative and non-normative socialization patterns influence the development of self-regulatory systems; (5) the contributory roles of self-regulation, affect, and psychopathology in determining immunologically-mediated susceptibility to illness; (6) development of novel multi-component treatments for depression targeting self-regulatory dysfunction; (7) utilization of brain imaging techniques to test hypotheses concerning self-regulation, including the nature and function of hypothetical regulatory systems and characterizing the breakdowns in self-regulation that lead to and accompany depression.
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