Frontiers in Psychology | |
Unifying treatments for depression: an application of the Free Energy Principle | |
Adam M. Chekroud1  | |
关键词: major depressive disorder; predictive coding; free-energy principle; antidepressants; computational psychiatry; generative models; antidepressants efficacy; | |
DOI : 10.3389/fpsyg.2015.00153 | |
学科分类:心理学(综合) | |
来源: Frontiers | |
【 摘 要 】
Major Depressive Disorder is a debilitating and increasingly prevalent psychiatric condition (Compton et al., 2006; Andersen et al., 2011). At present, its primary treatments are antidepressant medications and psychotherapy. Curiously, although the pharmacological effects of antidepressants manifest within hours, remission of clinical symptoms takes a number of weeks—if at all. Independently, support has grown for an idea—proposed as early as Helmholtz (von Helmholtz, 1924)—that the brain is a prediction machine, holding generative models1 for the purpose of inferring causes of sensory information (Dayan et al., 1995; Rao and Ballard, 1999; Knill and Pouget, 2004; Friston et al., 2006; Friston, 2010). If the brain does indeed represent a collection of beliefs about the causal structure of the world, then the depressed phenotype may emerge from a collection of depressive beliefs. These beliefs are modified gradually through successive combinations of expectations with observations. As a result, phenotypic remission ought to take some time as the brain's relevant statistical structures become less pessimistic.
【 授权许可】
CC BY
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