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 work is grounded in the premise that mental health and well-being are fundamentally shaped by self-regulation—how individuals pursue goals, respond to challenges, and adapt over time. His research integrates clinical psychology, affective neuroscience, and behavioral science to characterize the psychological and neurobiological systems that support self-regulation, and to understand how disruptions in these systems contribute to vulnerability to depression and related conditions.
Across a program of experimental, clinical, and neuroimaging research, his work has examined self-regulation as a multi-level system, including its cognitive and motivational mechanisms, its development through socialization, and its links to affective and immunological processes. This work has also informed the development and evaluation of novel interventions targeting self-regulatory dysfunction.
More recently, his work has focused on translating this science of self-regulation into scalable approaches to intervention and prevention. This includes the development of new models of treatment that target regulatory processes across disorders, as well as efforts to extend effective self-regulation skills beyond traditional clinical settings and into everyday contexts. This translational focus reflects a broader aim of building integrated, system-level approaches to mental health that can improve outcomes at population scale.
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