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

项目总结 自我控制指的是我们如何防止不恰当的行为和想法。自制力差在以下方面是明显的 冲动的症状，并与许多精神健康问题有关。真实世界的一种代表 自我控制被认为包括快速反应抑制。该度量由停止信号捕获 任务，嵌入了大规模青少年大脑认知发展研究(ABCD)。的确，这一站 信号任务是ABCD功能磁共振部分仅有的三项任务之一。ABCD的研究人员将收集停止 12000名青少年10年间重复的信号fMRI数据。停车信号指标，特别是单次 停车信号反应时间(SSRT)[人们停车有多快]的主体综合测量将是相关的 有功能磁共振成像激活，也有大脑结构(灰质和白质)。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，停车信号研究的最新进展，包括我们团队的研究，表明了一个潜在的 可以对行为停止进行更丰富的剖析，而不仅仅是计算SSRT。目前的提案旨在 测试被解剖的认知过程是否对应于特定的大脑信号(目标1，功能磁共振成像，目标2 EEG)，以及它们对自我控制中的变异性的解释能力如何，以用于现实世界的自我报告和其他测试 冲动(目标3)。我们预测，这些指标将比以往更能反映自我控制的可变性。 SSRT本身，因此可能会使ABCD努力和其他类似努力的停止信号方面更加稳固 生理立足点