Electrophysiological Assessment of Depressive Cognition

抑郁认知的电生理评估

• 批准号: 7117748
• 负责人: STEPHEN S ILARDI
• 金额: $ 21.06万
• 依托单位: UNIVERSITY OF KANSAS LAWRENCE
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7117748
• 关键词: antidepressants; behavioral /social science research tag; brain electrical activity; brain interhemispheric activity; clinical research; cognition; electroencephalography; electrophysiology; evoked potentials; human subject; major depression; mental disorder chemotherapy; mood disorders; neurosciences; patient oriented research; visual fields; visual stimulus

DESCRIPTION (provided by applicant): Major depressive disorder is characterized by a well-documented array of maladaptive cognitive phenomena, but the clinical assessment of depressive cognition has remained largely uninformed by recent methodological and theoretical advances in the domain of cognitive neuroscience. This study examines the application of two prominent cognitive neuroscience techniques that appear to be of great translational promise in the assessment of depressive cognition. Specifically, we will apply (a) divided visual field (DVF) stimulus presentation, which isolates the function of left and right cerebral hemispheres, and (b) analysis of quantitative electroencephalograph (QEEG) event-related potentials (ERP), which provide sensitive detection of cognitive processes reflected in real-time brain events. The study will include depressed outpatients (n = 60), assessed both in-episode and at a 3-month follow-up, as well as social phobic patient controls (n = 30) and never-depressed controls (n = 30). Depressed and social phobic participants will be recruited from a large community mental health center at a rate of approximately 2 per month and 1 per month, respectively, over 2.5 years. All participants will complete, at both assessment time points, the following: 8 brief tasks utilizing the ERP P300 component and DVF to evaluate hemispheric lateralization of selective attention to verbal and nonverbal depression-relevant stimuli, 2 tasks utilizing the ERP P400 component to evaluate the degree to which depressive self statements are perceived as self-congruent, a DVF verbal semantic priming task, and 3 self-report cognitive measures. It is hypothesized, on the basis of pilot data and theoretical considerations, that there will be observed a stable, trait-like negativistic right-hemispheric (RH) processing bias for verbal information among in-episode and fully remitted depressed patients (with positivistic RH bias among controls), and that the DVF/ERP paradigms will prove superior to self-report measures in detecting trait-like depressive cognition. Secondary analysis will explore the ability of study measures to predict acute outcome in outpatient treatment.

描述（由申请人提供）：重度抑郁症的特征是有据可查的一系列不良适应性认知现象，但是对抑郁认知的临床评估在很大程度上仍然是认知神经科学领域的最新方法论和理论进步。这项研究研究了两种突出的认知神经科学技术的应用，这些技术在评估抑郁认知时似乎是巨大的转化希望。具体而言，我们将应用（a）划分的视场（DVF）刺激表现，该刺激呈现分离，该刺激呈现，该刺激呈现，该刺激的功能分析了定量脑电图（QEEG）事件相关电位（ERP）的分析，从而提供了反射在实时实时脑脑事件中的认知过程的敏感检测。该研究将包括抑郁的门诊患者（n = 60），在第3个月的随访以及社交恐惧症患者对照（n = 30）和永不抑郁的控制（n = 30）中评估。沮丧和社交恐惧的参与者将以大约2.5岁的每月2和每月1分的速度分别从一个大型社区心理健康中心招募。在两个评估时间点，所有参与者都将完成以下内容：8个简短的任务，利用ERP p300组件和DVF来评估对言语和非言语抑郁症的选择性关注的半球横向化，这2个任务使用ERP P400组件来评估抑郁级别的自我言论的p400组件，以自我倾向为单位，以自我倾向为单位，以验证自我倾向的态度，即自我倾向于自我验证，并以自我倾向为单位，deff effcements the temention the Selfselt of Selfselt of Selfter cong and-cong and d ddfffffffffffffffffffffffffff festerment，自我报告认知措施。根据试验数据和理论上的考虑，将观察到一个稳定的，性状的消极主义右旋 - 右式（RH）处理偏见，以示偏见和完全降低的抑郁症患者（具有对照组的积极性RH偏见），并衡量DVF/Erp paradigmms的抑制作用，并且可以自在的情况下进行自我衡量。认知。次级分析将探讨研究措施预测门诊治疗中急性结果的能力。

项目成果

Examining lateralized semantic access using pictures.

使用图片检查横向语义访问。

• DOI: 10.1016/j.bandc.2009.08.016
• 发表时间: 2010
• 期刊: Brain and cognition
• 影响因子: 2.5
• 作者: Lovseth,Kyle;Atchley,RuthAnn
• 通讯作者: Atchley,RuthAnn