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Neural predictors of risky driving and susceptibility to peer influences in adole

阿多危险驾驶和对同伴影响的敏感性的神经预测因素

基本信息

批准号：
8706932
负责人：
Emily Falk
金额：
$ 18.84万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-08-01 至 2016-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8706932
关键词：
Adolescence Adolescent Affective Alcohol or Other Drugs use Automobile Driving Behavior Brain Buffers Cause of Death Charge Cognitive Confounding Factors (Epidemiology)Coupled Data Development Distress Elements Emotions Environment Exclusion Feeling Functional Magnetic Resonance Imaging Funding Health Individual Differences Injury Investigation Lead Licensing Light Measures Monitor Neurocognitive Outcome Participant Policies Predisposition Process Protocols documentation Public Health Randomized Recruitment Activity Research Resources Rewards Risk Risk Behaviors Risk-Taking Simulate Speed System Targeted Research Teenagers Vehicle crash Work cognitive control driving behavior effective intervention indexing intervention program neuroimaging peer peer influence programs public health relevance relating to nervous system response social teen driving trafficking

项目摘要

DESCRIPTION (provided by applicant): Motor vehicle crashes are the leading cause of death and a major contributor to non-fatal injury in adolescents 1, 2. Teen drivers' crash risk is especially high in the presence of teen passengers3-6. Peer influences are pervasive, powerful, especially salient during adolescence and associated with health-risk behaviors7, but the variability and mechanisms involved are not well understood8. One factor that may promote risky behavior in adolescence is a possible imbalance in brain development between affective and cognitive control systems8-10, resulting not only in riskier choices overall, but also increased reward activity during risk taking in the presence of peers11, and heightened sensitivity to social rejection12,13. In this investigation, we aim to elucidate neurocognitive predictors of: (1) risky teen driving; (2) susceptibility to peer influence in the context of teen driving; and (3) the ability to overcome risky peer influence. To achieve these aims, we propose to integrate neuroimaging (fMRI) measures into a currently funded study that experimentally manipulates peer influences in a state-of-the-art driving simulator. Main outcomes include behaviors in the simulator that are associated with high rates of injury and fatality in real drivig contexts (a composite of speeding, close following distances, traffic light violations). We hypothesize that: [(1a) increased activity in neural reward systems during a risk- taking task14, and (1b) decreased activity in cognitive control systems during a response inhibition task15, in the fMRI environment will predict higher propensity .toward risky-driving behaviors in the simulator; (2a) increased reward activity during the risk task14, and (2b) increased neural activity in regions associated with distress during exclusion16 in the neuroimaging environment will predict increased susceptibility to risk taking in the presence of peers in the driving simulator; and (3) increased neural activity in cognitive control systems will predict decreased susceptibility to peer influence in the driving simulator], as cognitive control systems could serv to buffer negative affective responses during socially threatening situations, and could also serve to reduce the impact of reward responses induced by taking risks in the presence of peers.11 As such, we hypothesize that [reward and social distress sensitivity, as well as a tendency to recruit cognitive control resources will interact with the social situation to render adolescents differentially susceptible to behaviors that put them at risk for crash in the presence of peers]. Preliminary data collected using key elements of the proposed protocol are consistent with our hypotheses [and suggest that neural measures explain variance in key outcomes that is not explained otherwise]. The proposed research will increase understanding of the mechanisms that lead to variability in risky behavior in adolescents, as well as mechanisms of peer influence and ability to resist such influence. Individual differences in neurocognitive resources may not only interact with the social situation to promote risk, but may also serve to buffer social vulnerability to risk; this work may eventually allow us to develop more effective programs that efficiently reduce risk across multiple domains.

描述（由申请人提供）：机动车碰撞是青少年死亡的主要原因，也是造成非致命性伤害的主要原因1，2。青少年司机的撞车风险特别高，在青少年的存在3 -6。同伴影响是普遍的，强大的，特别是在青春期和健康风险行为相关的突出7，但涉及的可变性和机制还没有很好地理解8。一个可能促进青少年冒险行为的因素是情感和认知控制系统之间的大脑发育可能不平衡8 -10，不仅导致整体风险更高的选择，而且在同龄人面前冒险时增加了奖励活动11，并提高了对社会拒绝的敏感性12，13。在这项调查中，我们的目的是阐明神经认知预测：（1）危险的青少年驾驶;（2）易感性的青少年驾驶的背景下，同伴的影响;（3）克服危险的同伴影响的能力。为了实现这些目标，我们建议将神经成像（fMRI）措施整合到目前资助的研究中，该研究在最先进的驾驶模拟器中实验性地操纵同伴的影响。主要结果包括模拟器中与真实的驾驶环境中的高伤害率和死亡率相关的行为（超速、近距离跟随、违反交通灯）。我们假设：[（1a）在冒险任务期间神经奖励系统的活动增加14，和（1b）在反应抑制任务期间认知控制系统的活动减少15，在fMRI环境中将预测模拟器中更高的风险驾驶行为倾向;（2a）在风险任务期间增加奖励活动14，及（2b）在神经影像学环境中，与排除期间的痛苦相关的区域中神经活动的增加16将预测在排除期间同龄人在场的情况下风险承担的易感性增加。驾驶模拟器;以及（3）认知控制系统中增加的神经活动将预测驾驶模拟器中对同伴影响的敏感性降低]，因为认知控制系统可以在社会威胁情况下缓冲负面情感反应，并且还可以减少在同伴面前冒险引起的奖励反应的影响。以及招募认知控制资源的倾向将与社会情境相互作用，使青少年对使他们在存在的情况下处于崩溃风险的行为具有不同的敏感性。的peers）。使用拟议方案的关键要素收集的初步数据与我们的假设一致[并表明神经测量解释了关键结果的差异，而这些差异没有以其他方式解释]。拟议的研究将增加对导致青少年危险行为变异的机制的理解，以及同伴影响的机制和抵抗这种影响的能力。神经认知资源的个体差异不仅可能与社会情境相互作用以促进风险，还可能有助于缓冲社会对风险的脆弱性;这项工作最终可能使我们能够开发更有效的方案，有效地降低多个领域的风险。