Neural Correlates of Proactive Control in Major Depressive Disorder
重度抑郁症主动控制的神经相关性
基本信息
- 批准号:504480418
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:
- 资助国家:德国
- 起止时间:
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Depression is a mental disorder with high lifetime prevalence and enormous societal costs. Cognitive deficits in depression have been observed numerous times. Previous studies have reported well-replicated deficits in cognitive control, i.e. the flexible, goal-oriented control of basic cognitive and motor processes. Particularly important in this context are findings which demonstrate that performance in cognitive control can be influenced by the affective valence of the utilised stimuli. For example, deficits in cognitive control in depression have been found to be particularly strong when negatively valenced information has to be processed. These findings are of importance not only as they help to improve our understanding of the mechanisms of cognitive deficits in depression; they also provide an important basis for further development of cognitive behavioural therapy approaches. In this application, we propose two studies to be run in parallel in Bonn (Ettinger) and Tirol (Duschek), in order to substantially extend prior research in this area. First, we aim to integrate the study of cognitive control in depression into the theoretical framework of the Dual Mechanisms of Control Model by Braver (2012). This model, which has proven influential in cognitive psychology and cognitive neuroscience research, distinguishes between proactive and reactive modes of control and allows making predictions regarding selective impairments in those aspects of control in mental disorders. Second, we aim to systematically study the influence of affective modulation on proactive control. Finally, we wish to characterise the neural correlates of these processes; in Bonn we proposed to use functional magnetic resonance imaging (fMRI) and in Tirol we will use electroencephalography (EEG). In Study I (Bonn), 50 outpatients with a DSM 5 diagnosis of depression and 50 healthy controls (m/f) will perform an inhibitory control task (antisaccades) in fMRI. Proactive control in the inhibition of saccades will be modulated through the application of emotionally negative (angry, fearful, sad faces), positive and neutral stimuli. In Study II (Tirol), the antisaccade task will be applied simultaneously with recordings of event-related potentials in 50 outpatients with depression and 50 healthy controls (m/f). Overall, the two studies will provide a comprehensive and detailed characterisation of proactive cognitive control in depression, its modulation by affective factors and its neural correlates. The two studies ideally complement each other in terms of the selected aspects of cognitive control and the chosen neuroscientific methods, which allow investigation of both spatial (fMRI) and temporal (EEG) aspects of the neural correlates of proactive control.
抑郁症是一种终生患病率高、社会成本巨大的精神障碍。抑郁症的认知缺陷已经被观察过很多次了。先前的研究已经报道了认知控制方面的缺陷,即对基本认知和运动过程的灵活的、目标导向的控制。在此背景下,特别重要的是研究结果表明,认知控制的表现可以受到所使用刺激的情感效价的影响。例如,研究发现,当需要处理负面信息时,抑郁症患者的认知控制缺陷尤为严重。这些发现的重要性不仅在于它们有助于提高我们对抑郁症认知缺陷机制的理解;它们也为认知行为疗法的进一步发展提供了重要的基础。在本申请中,我们建议在波恩(艾廷格)和蒂罗尔(杜什克)并行进行两项研究,以便大大扩展该领域的先前研究。首先,我们的目标是将抑郁症的认知控制研究整合到Braver(2012)的双重控制机制模型的理论框架中。该模型已被证明在认知心理学和认知神经科学研究中具有影响力,它区分了主动控制模式和反应控制模式,并允许对精神障碍控制的这些方面的选择性损伤进行预测。第二,系统研究情感调节对主动控制的影响。最后,我们希望描述这些过程的神经关联;在波恩,我们建议使用功能磁共振成像(fMRI),在蒂罗尔,我们将使用脑电图(EEG)。在研究I(波恩)中,50名DSM 5诊断为抑郁症的门诊患者和50名健康对照(m/f)将在fMRI中执行抑制性控制任务(抗扫视)。抑制扫视的主动控制将通过情绪消极(愤怒、恐惧、悲伤的面孔)、积极和中性刺激的应用来调节。在研究II (Tirol)中,反扫视任务将与50名抑郁症门诊患者和50名健康对照(m/f)的事件相关电位记录同时应用。总的来说,这两项研究将提供一个全面和详细的特征,抑郁症的主动认知控制,其调节的情感因素和神经相关。这两项研究在认知控制的选择方面和选择的神经科学方法方面理想地互补,这允许对主动控制的神经相关的空间(fMRI)和时间(EEG)方面进行调查。
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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Professor Dr. Ulrich Ettinger其他文献
Professor Dr. Ulrich Ettinger的其他文献
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{{ truncateString('Professor Dr. Ulrich Ettinger', 18)}}的其他基金
Latent State Trait Modelling of Executive Functions
执行功能的潜在状态特征建模
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451546386 - 财政年份:2020
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-- - 项目类别:
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Why do not all high schizotypes develop schizophrenia? Protective factors in people with high risk for schizophrenia using machine learning methods
为什么并非所有高度精神分裂型患者都会患上精神分裂症?
- 批准号:
278205181 - 财政年份:2016
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Anxiety, Fear and Human Defensive Reactions: Behavioural Differentiation of Generalised Anxiety Disorder and Panic Disorder
焦虑、恐惧和人类防御反应:广泛性焦虑症和恐慌症的行为分化
- 批准号:
252534863 - 财政年份:2014
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Research Grants
Neuroimaging, pharmacological and genetic studies of the oculomotor system in healthy and schizophrenic individuals
健康和精神分裂症患者动眼系统的神经影像学、药理学和遗传学研究
- 批准号:
53777159 - 财政年份:2008
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精神分裂症谱系中 NMDA 敏感生物标志物的神经影像学
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491177199 - 财政年份:
- 资助金额:
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