Dissociating cognitive response control into triggering and braking processes

将认知反应控制分解为触发和制动过程

• 批准号: 10056948
• 负责人: Adam Robert Aron
• 金额: $ 19.69万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-15 至 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10056948
• 关键词: Adolescent; Architecture; Basal Ganglia; Behavioral; Biological Assay; Brain; Child; Cognitive; Data; Development; Dissection; Dissociation; Electrodes; Electroencephalography; Electromyography; Electrophysiology (science); Event-Related Potentials; Functional Magnetic Resonance Imaging; Human; Impulsivity; Individual Differences; Inferior; Inferior frontal gyrus; Laboratories; MRI Scans; Measures; Mental Health; Mission; Modeling; Participant; Patient Self-Report; Personality; Persons; Physiological; Process; Property; Proxy; Reaction Time; Research; Research Personnel; Self Assessment; Self-control as a personality trait; Signal Transduction; Speed; Structure; Symptoms; Testing; Thinking; Time; United States National Institutes of Health; cognitive development; cognitive process; data sharing; executive function; foot; gray matter; indexing; magnetic resonance imaging/electroencephalography; prevent; psychologic; relating to nervous system; response; theories; white matter

PROJECT SUMMARY Self-control refers to how we prevent inappropriate actions and thoughts. Poor self-control is manifest in symptoms of impulsivity, and is associated with numerous mental health problems. One proxy of real-world self-control is thought to involve rapid response inhibition. This metric, which is captured by the stop signal task, is embedded in the large-scale Adolescent Brain Cognitive Development study (ABCD). Indeed, the stop signal task is one of only three tasks for the fMRI part of ABCD. The researchers for ABCD will collect stop signal fMRI data in 12 000 adolescents repeatedly over 10 years. Stop signal metrics, especially the single subject aggregate measure of stop signal reaction time (SSRT) [how quickly people stop] will be correlated with fMRI activation and also with brain structure (gray and white matter). Individual differences in SSRT, and stop activation and structure, will then be correlated with a slew of personality and behavioral metrics. Meanwhile, recent developments in stop signal research, including by our group, suggest a potentially much richer dissection may be done of behavioral stopping than merely computing SSRT. The current proposal aims to test whether the dissected cognitive processes correspond to particular brain signatures (Aim 1 fMRI, Aim 2 EEG), and how well they account for variability in self-control for ‘real world’ self-report and other tests of impulsivity (Aim 3). We predict that these metrics will account for more variability in self-control than does SSRT itself, thus potentially putting the stop signal aspect of the ABCD endeavor, and others like it, on a firmer physiological footing

项目摘要 自我控制指的是我们如何防止不适当的行为和想法。自控力差的表现是 冲动的症状，并与许多心理健康问题有关。一个真实世界的代理 自我控制被认为涉及快速反应抑制。该指标由停止信号捕获 任务，嵌入在大规模的青少年大脑认知发展研究（ABCD）。事实上，停止 信号任务是ABCD功能磁共振成像部分仅有的三个任务之一。ABCD的研究人员将收集停止 信号fMRI数据在12 000青少年重复超过10年。停止信号度量，尤其是单个 受试者停止信号反应时间（SSRT）[人们停止得有多快]综合测量值将与 与功能磁共振成像激活和大脑结构（灰质和白色物质）。SSRT的个体差异，以及 停止激活和结构，然后将与一系列个性和行为指标相关联。 与此同时，包括我们小组在内的停止信号研究的最新进展表明， 可以对行为停止进行比仅仅计算SSRT更丰富的剖析。目前的提案旨在 为了测试所解剖的认知过程是否对应于特定的大脑特征（Aim 1 fMRI，Aim 2 脑电图），以及它们如何解释“真实的世界”自我报告和其他测试中自我控制的变异性。 冲动性（目标3）。我们预测，这些指标将解释更多的可变性，在自我控制比 SSRT本身，从而可能把停止信号方面的ABCD奋进，和其他类似的，在一个更坚定的 生理基础