Neural networks underlying impaired information gating in major depression

重度抑郁症中信息门控受损的神经网络

• 批准号: 8770624
• 负责人: IAN H GOTLIB
• 金额: $ 24.08万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-04 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8770624
• 关键词: Address; Affect; Affective; Attention; Attention deficit hyperactivity disorder; Attentional deficit; Behavior; Behavioral; Biological Assay; Biological Neural Networks; Bipolar Disorder; Brain; Cereals; Characteristics; Clinical; Cognitive; Corpus striatum structure; Data; Development; Disease; Dorsal; Economic Burden; Emotional; Emotions; Excision; Exhibits; Functional Magnetic Resonance Imaging; Goals; High Prevalence; Impairment; Individual; Individual Differences; Intervention; Knowledge; Lead; Maintenance; Major Depressive Disorder; Measures; Mental Depression; Modeling; Nature; Neurocognitive; Neurophysiology - biologic function; Participant; Patients; Pattern; Population; Prefrontal Cortex; Prevalence; Process; Research; Research Personnel; Scanning; Schizophrenia; Severities; Short-Term Memory; Stimulus; System; Techniques; Testing; Theoretical model; Training; Variant; Work; base; cost; depressive symptoms; effective intervention; improved; indexing; innovation; network models; neuroimaging; neuromechanism; novel; programs; public health relevance; relating to nervous system; research study; social; treatment strategy; visual memory

DESCRIPTION (provided by applicant): A behavioral hallmark of Major Depressive Disorder (MDD) is impaired gating of negative, task-irrelevant information. In previous work we documented that people with MDD exhibit impairments in controlling the entry of irrelevant negative information into working memory (WM) and in removing no-longer-relevant information from WM. Given the high prevalence and enormous costs of MDD, it is critical that we gain a better under- standing of the neural mechanisms that underlie these cognitive difficulties. Although investigators have begun to examine neural correlates of impaired information-gating processes in MDD, we do not yet understand the functional significance of these activations or the nature of their relation to depression, or consequently, how to leverage this knowledge to develop and evaluate individualized treatments for this heterogeneous disorder. We propose to use cutting-edge neuroimaging techniques to elucidate the neural mechanisms that underlie impaired gating of negative information in MDD, conducting innovative analyses of fMRI data (multi-voxel pattern analyses [MVPA] and functional connectivity) in order to quantify on a moment-to-moment basis the degree to which negative irrelevant information is represented in WM. This approach will allow us to test hypotheses about (a) specific large-scale networks that are posited to underlie information-gating deficits in MDD; and (b) the contribution of these networks to various clinical characteristics of MDD. Specifically, in two experiments we will elucidate the cognitive and neural mechanisms that underlie impaired gating in MDD during the entry of negative stimuli into WM, and during the removal of negative information from WM. Moreover, given findings in nondepressed populations that individual differences in the ability to gate task- irrelevant information are related to variations in goal-directed behavior, we further propose to assess the relation of individual differences in information gating to specific aspects of depressive symptomatology. We hypothesize that impaired gating of negative irrelevant information in MDD is associated with anomalous functioning of dorsal frontoparietal (top-down attentional control) and subcortical (emotional appraisal) networks during both the entry of negative information into WM and the removal of negative information from WM. We further hypothesize that these abnormalities are related to the specific depressive characteristics of emotion dysregulation, rumination, and negative affect, and to the severity of depressive symptoms. Importantly, our novel quantification of neural representations of negative information will move beyond coarse group-level assays to a more fine-grained individual-subject and trial-level understanding of the dynamic nature of the neurocognitive mechanisms that underlie MDD. Together, the proposed studies promise to 1) advance understanding of mechanisms that underlie the control of affective information in MDD; 2) inform theoretical models of the interaction of attention and emotion; and 3) facilitate the ultimate development of more effective, patient-specific interventions (e.g., cognitive or neural training) for major depression.

描述（由申请人提供）：重度抑郁症（MDD）的一个行为特征是对负面、任务无关信息的门控受损。在以前的工作中，我们记录了MDD患者在控制无关的负面信息进入工作记忆（WM）和从WM中删除不再相关的信息方面表现出障碍。鉴于抑郁症的高患病率和巨大的成本，我们更好地了解这些认知困难背后的神经机制是至关重要的。虽然研究人员已经开始研究MDD中受损的信息门控过程的神经相关性，但我们还不了解这些激活的功能意义或它们与抑郁症关系的性质，或者因此，如何利用这些知识来开发和评估这种异质性疾病的个性化治疗。我们建议使用尖端的神经影像学技术来阐明的神经机制，受损门控的负面信息在抑郁症，进行创新的分析功能磁共振成像数据（多体素模式分析[MVPA]和功能连接），以量化的时刻到时刻的基础上，在WM中表示的程度，负无关信息。这种方法将使我们能够检验关于以下方面的假设：（a）特定的大规模网络，这些网络被认为是MDD中信息门控缺陷的基础;以及（B）这些网络对MDD各种临床特征的贡献。具体而言，在两个实验中，我们将阐明的认知和神经机制，受损门控在MDD在进入WM的负面刺激，并在删除负面信息WM。此外，鉴于在非抑郁人群中的发现，门控任务无关信息的能力的个体差异与目标导向行为的变化有关，我们进一步建议评估信息门控的个体差异与抑郁症的具体方面的关系。我们假设，受损门控的负面无关信息在抑郁症与异常功能的背额顶叶（自上而下的注意力控制）和皮层下（情绪评价）网络的负面信息进入WM和删除的负面信息从WM。我们进一步假设，这些异常与情绪失调，反刍和消极情绪的具体抑郁特征，以及抑郁症状的严重程度有关。重要的是，我们对负面信息的神经表征的新的量化将超越粗糙的组水平的测定，以更细粒度的个体受试者和试验水平的理解，作为MDD的基础的神经认知机制的动态性质。总之，拟议的研究有望：1）促进对MDD中情感信息控制机制的理解; 2）为注意力和情绪相互作用的理论模型提供信息; 3）促进更有效的患者特异性干预措施的最终发展（例如，认知或神经训练）。