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Context Violation in Depression

抑郁症中的语境违规

基本信息

批准号：
7278701
负责人：
PHAN LUU
金额：
$ 23.05万
依托单位：
ELECTRICAL GEODESICS, INC.
依托单位国家：
美国
项目类别：
财政年份：
2005
资助国家：
美国
起止时间：
2005-09-01 至 2009-08-31
项目状态：
已结题

项目摘要

Although modern neuroimaging studies have further our understanding of depression by identifying the key corticolimbic structures involved in depression, a gap remains in our understanding of how these biological findings translate to the observed negative appraisal biases shown to be associated with depression. In this application we propose to clarify the neurophysiological mechanisms underlying negative cognitive biases. We start with an operational definition of expectancy violation and we detail how these violations are measured electrophysiologically. A model, derived from the animal learning and human action monitoring literatures, is proposed in which affective evaluation of expectancy violations can be used to understand cognitive biases associated with depression. This model is fundamentally a model of self-regulation that emphasizes regulatory processes such as context updating and evaluation of expectancy violations in the process of learning. It is the intrinsic biases associated with evaluation of expectancy violations that can be used to understand the depressed person's cognitive biases. The aims of the present proposal build upon our current work, which relates the neural mechanisms of context and action evaluation to depression. We propose to study the relation between electrophysiological measures of expectancy violations and depression severity and their effects on learning. We also propose to study the consequence of successful therapy on cognitive biases associated with depression, as indexed by electrophysiological measures. Additionally, we propose to study how the depressive symptoms, major dimensions of negative and positive cognitive biases, and coping dimensions associated with depression map onto the corticolimbic structures underlying evaluative appraisals of expectancy violations. Successful completion of the proposed work will produce some of the first evidence relating well recognized biases of depression, which are the targets of cognitive-behavioral therapy, with neural mechanisms underlying self-regulatory processes. The results will also have implications for understanding treatment failures and successes, and for dealing with what may be a lawful set of relations between depression severity, evaluative biases, and engagement versus disengagement of negative feedback from the environment.

尽管现代神经成像研究通过确定与抑郁症有关的关键皮质边缘结构，进一步加深了我们对抑郁症的理解，但我们对这些生物学发现如何转化为观察到的与抑郁症相关的负面评价偏差的理解仍然存在空白。在这个应用程序中，我们建议澄清负认知偏见的神经生理机制。我们从预期违反的操作定义开始，并详细说明如何从电生理学上测量这些违反。基于动物学习和人类行为监测方面的文献，本文提出了一个模型，该模型可以利用期望违反的情感评估来理解与抑郁相关的认知偏差。这个模型基本上是一个自我调节模型，强调学习过程中的环境更新和期望违反的评估等调节过程。它是与期望违反评估相关的内在偏差，可以用来理解抑郁症患者的认知偏差。本提案的目的是建立在我们目前的工作基础上，将情境和行动评估的神经机制与抑郁症联系起来。我们建议研究期望违反与抑郁严重程度的电生理测量的关系及其对学习的影响。我们还建议研究成功治疗与抑郁症相关的认知偏差的结果，如电生理指标。此外，我们建议研究抑郁症状、消极和积极认知偏差的主要维度以及与抑郁相关的应对维度如何映射到预期违反评估评估的皮质边缘结构上。这项工作的成功完成将产生一些关于抑郁症的公认偏见的第一个证据，这是认知行为疗法的目标，与潜在的自我调节过程的神经机制。研究结果也将对理解治疗的失败和成功，以及处理抑郁严重程度、评估偏差、参与与脱离环境负面反馈之间可能存在的一系列合法关系产生影响。