Linking psychometric and multimodal neural measures of socioemotional functioning to early antisocial behavior and environmental risk

项目摘要/摘要 从事反社会行为(即违反社会规范和他人权利的行为)的青年 对他们的家庭、同龄人和社区造成代价高昂的心理和经济损失。当不遵守的时候 反社会行为是治疗转诊的主要原因，行为障碍(CD)的研究严重不足， 导致治疗的有效性和普适性有限。关于机械过程的研究 那些对反社会行为有独特贡献的人需要帮助我们理解病因学、风险和 保护因素，并为预防和治疗提供目标。 社会情绪功能(SEF)--适当地定位、处理和回应情绪的能力 线索--是将反社会行为与其他外化行为区分开来的心理过程的集合 精神错乱。虽然SEF过程可以促进亲社会情绪(例如，移情)和行为(例如，规则 顺从性)，SEF功能障碍导致冷酷无情和攻击性的人格风格，使其 更容易伤害别人。已知的神经生物学关联涉及结构、功能和连接 大脑中与情绪反应有关的区域存在缺陷。然而，许多小型研究文献 通过将针对SEF极端缺陷的心理测量指标与大脑联系起来，对SEF的研究一直受到限制 使用极端分组设计的小样本临床参考样本的反应，这些设计未能在 有代表性的样品。 在这个高度创新的项目中，使用了青少年大脑认知发展(ABCD)的数据 研究和ABCD-社会发展(ABCD-SD)子研究，我们将首先改进SEF的测量 运用先进的统计方法，开发出SEF的维度指数心理测量，并对其进行评估 与种族和/或性别有关的测量偏差的指数，检查偏见可能如何影响与 标准变量。我们还将使用多变量网络神经科学方法来提取关键组件 通过多模式(结构、静息状态、功能)神经成像数据生成可靠的 自来水使用SEF的这些新的心理测量和神经指数，我们将检查与犯罪的关联， 共病的精神病理学和社会功能，以及与已知的环境风险和 反社会行为的保护性因素(例如，亲子关系、受害)。与NIMH一致 战略目标2.2，(确定临床上有用的生物标志物和预测变化的行为指标 跨越疾病的轨迹“)，这个项目的完成将产生可靠和公正的心理测量和 在大样本、多样化样本中早期SEF的多模式神经指标，可用于确定个体 跨部门和未来数据收集浪潮中反社会行为的风险因素。

Project Summary/Abstract Youth that engage in antisocial behavior (i.e., behaviors that violate social norms and the rights of others) exact a costly psychological and financial toll on their families, peers, and community. While non-compliance and antisocial behavior are leading causes of treatment referral, conduct disorder (CD) is acutely understudied, resulting in treatments that have limited efficacy and generalizability. Research on the mechanistic processes that uniquely contribute to antisocial behavior are needed to inform our understanding of etiology, risk and protective factors, and provide targets for prevention and treatment. Socioemotional functioning (SEF)--the ability to appropriately orient to, process, and respond to emotional cues--is a collection of psychological processes that distinguishes antisocial behavior from other externalizing disorders. While SEF processes can promote prosocial emotions (e.g., empathy) and behavior (e.g., rule conformity), SEF dysfunction contributes to a callous-unemotional and aggressive personality style, making it easier to hurt others. Known neurobiological correlates implicate structural, functional, and connectomic deficits in regions of the brain involved in emotional response. However, much of the small research literature on SEF has been limited by linking psychometric measures that target extreme deficits in SEF to brain responses in small, clinically referred samples using extreme group designs, which have failed to replicate in representative samples. In this highly innovative project, using data from the Adolescent Brain Cognitive Development (ABCD) study and ABCD-Social Development (ABCD-SD) sub-study, we will first improve the measurement of SEF using advanced statistical methods to develop a dimensional index psychometric of SEF and then evaluate this index for measurement bias related to race and/or sex, examining how bias may impact associations with criterion variables. We will also use a multivariate network neuroscience approach to distill key components across multimodal (structural, resting state, functional) neuroimaging data to produce a reliable neural index of SEF. Using these new psychometric and neural indices of SEF we will examine associations with delinquency, comorbid psychopathology, and social functioning, as well as the interplay with known environmental risk and protective factors (e.g., parent-child relationship, victimization) for antisocial behavior. Consistent with NIMH Strategic Objective 2.2, (to “identify clinically useful biomarkers and behavioral indicators that predict change across the trajectory of illness”), completion of this project will yield reliable and unbiased psychometric and multimodal neural indicators of early SEF in a large, diverse sample, which can be used to determine individual risk factors for antisocial behavior both cross-sectionally and in future waves of data collection.