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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

基本信息

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
项目类别：
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

项目摘要

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