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.

尽管现代的神经影像学研究通过确定与抑郁症相关的关键皮质结构结构来进一步了解抑郁症，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估偏见的理解仍然存在差距。在此应用中，我们建议阐明负面认知偏见的基础神经生理机制。我们从对预期违规的操作定义开始，并详细介绍了如何通过电生理测量这些违规行为。提出了一个模型，该模型源自动物学习和人类行动监测文献，其中可以使用对期望违规行为的情感评估来理解与抑郁症相关的认知偏见。从根本上讲，该模型是一种自我调节的模型，强调监管过程，例如在学习过程中对预期违规行为进行上下文更新和评估。与评估期望违规行为相关的内在偏见可以用于理解沮丧的人的认知偏见。本提案的目的是基于我们当前的工作，该工作将情境和行动评估的神经机制与抑郁症联系起来。我们建议研究预期违规和抑郁严重程度的电生理测量及其对学习的影响之间的关系。我们还建议研究成功治疗对与抑郁症相关的认知偏差的后果，如电生理测量所指数。此外，我们建议研究抑郁症状，负和正认知偏见的主要维度以及与抑郁症图相关的层次的抑郁症状，以评估违规评估的评估评估。成功完成拟议工作的完成将产生一些有关抑郁症的偏见，这是认知行为疗法的靶标，这些偏见是自我调节过程的基础神经机制。结果还将对理解治疗失败和成功的影响以及处理抑郁症的严重性，评估偏见与参与与从环境中负面反馈的脱离接触之间的合法关系。