Emotion regulation in depression: neural bases of reappraisal

抑郁症的情绪调节:重新评估的神经基础

基本信息

  • 批准号:
    7611372
  • 负责人:
  • 金额:
    $ 4.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-12-01 至 2010-11-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Major Depressive Disorder (MDD) is a debilitating condition that places a significant burden on individuals and society. For individuals, MDD is associated with a range of symptoms, including feelings of hopelessness and guilt and extending to anhedonia, apathy, disturbances in appetite and sleep, and problems with concentration and memory. For society, the/burden of MDD is manifested in lost productivity and in significant costs associated with treatment. The heterogeneity of symptoms associated with depression presents a challenge to both researchers trying to understand the disorder and clinicians trying to treat it. However, two separate lines of research suggest a straightforward hypothesis: multiple aspects of depressive illness may fundamentally be a consequence of dysfunction in neural systems implicated in emotion regulation. First, research examining baseline neural activity and performance on cognitive tasks demonstrates that depression is associated with dysfunction in neural regions such as the prefrontal cortex (PFC), anterior cingulate cortex (ACC), and amygdala. Second, research with healthy participants shows that these same neural regions are directly implicated in emotion regulation. This proposal describes two experiments designed to integrate these lines of research. In both experiments, participants will attempt to regulate their responses to emotionally negative stimuli using reappraisal, an adaptive emotion regulation strategy supported by cortico-cingulate-amygdalar interactions. Electroencephalogram (EEG; Exp. 1) and functional magnetic resonance imaging (fMRI; Exp. 2) data will be collected during reappraisal attempts made by patients with MDD and healthy controls. In combination, the EEG and fMRI data will be used to generate a detailed spatiotemporal model of the brain mechanisms underlying reappraisal. These data will also be used to test the hypothesis that failures of emotion regulation in MDD are associated with dysfunction in specific neural regions, including lateral PFC, dorsal ACC, and the amygdala. PUBLIC HEALTH RELEVANCE: By identifying a core process-emotion regulation-implicated in depression and tying emotion regulation failures to dysfunction in specific neural circuits, the proposed studies will help clarify the pathophysiology of depression. Ultimately, this approach might contribute to improvements in diagnosis and treatment.
描述(由申请人提供):重度抑郁症(MDD)是一种使人衰弱的状况,对个人和社会造成了重大负担。对于个人而言,MDD与一系列症状有关,包括绝望和内gui的感觉,并延伸到Anhedonia,冷漠,食欲和睡眠的干扰以及集中和记忆的问题。对于社会而言,MDD的负担/负担体现在生产力失去,并且与治疗相关。与抑郁症相关的症状的异质性对试图理解该疾病的研究人员和试图治疗它的临床医生都有挑战。但是,两种单独的研究线提出了一个直接的假设:抑郁疾病的多个方面可能是导致与情绪调节有关的神经系统功能障碍的结果。首先,检查基线神经活动和认知任务的性能的研究表明,抑郁症与神经区域的功能障碍有关,例如前额叶皮层(PFC),前扣带回皮层(ACC)和杏仁核。其次,与健康参与者的研究表明,这些相同的神经区域直接与情绪调节有关。该提案描述了两个实验,旨在整合这些研究线。在这两个实验中,参与者都将尝试使用重新评估来调节其对情绪负面刺激的反应,这是一种适应性的情绪调节策略,由皮质分离 - 杏仁核相互作用支持。脑电图(EEG;Exp。1)和功能磁共振成像(fMRI;Exp。2)将在MDD和健康对照组进行重新评估期间收集数据。结合使用,脑电图和fMRI数据将用于生成重新评估的脑机制的详细时空模型。这些数据还将用于检验以下假设:MDD中情绪调节的失败与特定神经区域的功能障碍有关,包括侧向PFC,背侧ACC和杏仁核。公共卫生相关性:通过确定在抑郁症中刺激的核心过程情绪调节,并将情绪调节绑定到特定神经回路中功能障碍的失调,拟议的研究将有助于阐明抑郁症的病理生理学。最终,这种方法可能有助于改善诊断和治疗。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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DANIEL G DILLON其他文献

DANIEL G DILLON的其他文献

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{{ truncateString('DANIEL G DILLON', 18)}}的其他基金

Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety
社交焦虑治疗机制的神经标志物和治疗结果预测
  • 批准号:
    10816883
  • 财政年份:
    2022
  • 资助金额:
    $ 4.99万
  • 项目类别:
Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety
社交焦虑治疗机制的神经标志物和治疗结果预测
  • 批准号:
    10685936
  • 财政年份:
    2022
  • 资助金额:
    $ 4.99万
  • 项目类别:
Neural Markers of Treatment Mechanisms and Prediction of Treatment Outcomes in Social Anxiety
社交焦虑治疗机制的神经标志物和治疗结果预测
  • 批准号:
    10342169
  • 财政年份:
    2022
  • 资助金额:
    $ 4.99万
  • 项目类别:
Computational mechanisms of memory disruption in depression
抑郁症记忆破坏的计算机制
  • 批准号:
    10051420
  • 财政年份:
    2018
  • 资助金额:
    $ 4.99万
  • 项目类别:
Computational mechanisms of memory disruption in depression
抑郁症记忆破坏的计算机制
  • 批准号:
    10295143
  • 财政年份:
    2018
  • 资助金额:
    $ 4.99万
  • 项目类别:
Computational mechanisms of memory disruption in depression
抑郁症记忆破坏的计算机制
  • 批准号:
    10515641
  • 财政年份:
    2018
  • 资助金额:
    $ 4.99万
  • 项目类别:
Neuroscience of Reward-Related Learning and Memory in Depression
抑郁症中奖励相关学习和记忆的神经科学
  • 批准号:
    9031824
  • 财政年份:
    2014
  • 资助金额:
    $ 4.99万
  • 项目类别:
Neuroscience of Reward-Related Learning and Memory in Depression
抑郁症中奖励相关学习和记忆的神经科学
  • 批准号:
    8850636
  • 财政年份:
    2014
  • 资助金额:
    $ 4.99万
  • 项目类别:
Neuroscience of Reward-Related Learning and Memory in Depression
抑郁症中奖励相关学习和记忆的神经科学
  • 批准号:
    8299722
  • 财政年份:
    2012
  • 资助金额:
    $ 4.99万
  • 项目类别:
Neuroscience of Reward-Related Learning and Memory in Depression
抑郁症中奖励相关学习和记忆的神经科学
  • 批准号:
    8444394
  • 财政年份:
    2012
  • 资助金额:
    $ 4.99万
  • 项目类别:

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