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

将社会情绪功能的心理测量和多模式神经测量与早期反社会行为和环境风险联系起来

• 批准号: 10689016
• 负责人: Sarah Brislin
• 金额: $ 19.55万
• 依托单位: RUTGERS BIOMEDICAL AND HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10689016
• 关键词: Accounting; Acute; Adolescence; Adolescent; Adult; Attention; Attention deficit hyperactivity disorder; Back; Behavior; Behavioral; Brain; Brain region; Censuses; Child Rearing; Clinical; Clinical Research; Collection; Communities; Conduct Disorder; Crime; Cues; Data; Data Collection; Development; Dimensions; Disease; Disinhibition; Emotional; Emotions; Empathy; Environmental Impact; Environmental Risk Factor; Ethnic Origin; Ethnic Population; Etiology; Face; Family; Financial cost; Functional disorder; Future; Gender; Individual; Individual Differences; Inequality; Intervention; Knowledge; Link; Literature; Measurement; Measures; Methods; Modality; National Institute of Mental Health; Neurobiology; Neurosciences; Parent-Child Relations; Parents; Personality; Phenotype; Positioning Attribute; Prevention; Process; Psychometrics; Psychopathology; Race; Reporting; Research; Rest; Rights; Risk; Risk Factors; Sampling; Science; Sex Bias; Social Development; Social Functioning; Source; Statistical Methods; Subgroup; Testing; United States; Variant; Victimization; Violence; Youth; antisocial behavior; callous unemotional trait; clinical biomarkers; cognitive development; comorbidity; cost; design; effective intervention; emotional functioning; ethnic bias; ethnic difference; gender difference; health disparity; improved; indexing; individual variation; innovation; juvenile justice system; marginalization; multimodal neuroimaging; multimodality; neural; neural correlate; neural patterning; neuroimaging; non-compliance; peer; perceived discrimination; preadolescence; protective factors; psychologic; racial bias; racial difference; racial population; response; sex; social norm; substance use; teacher

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.

项目摘要/摘要 从事反社会行为的年轻人（即侵犯社会规范和他人权利的行为） 正是对家人，同龄人和社区的昂贵心理和经济损失。而不合规 反社会行为是治疗转诊的主要原因，行为障碍（CD）敏锐地理解， 导致效率有限和概括性的治疗方法。关于机械过程的研究 需要独特地促进反社会行为，以告知我们对病因，风险和 保护因素，并为预防和治疗提供目标。 社会情感功能（SEF） - 适当定向，处理和应对情感的能力 提示 - 是一系列心理过程，将反社会行为与其他外部化区分开 疾病。虽然SEF过程可以促进亲社会情绪（例如，同理心）和行为（例如，规则 合格），SEF功能障碍有助于一种冷酷无情和侵略性的个性风格 更容易伤害他人。已知的神经生物学相关性暗示结构，功能和连接组 大脑区域的缺陷涉及情绪反应。但是，许多小型研究文献 SEF通过将针对SEF极端防御与大脑的极端防御的心理测量指标联系起来受到限制 使用极端组设计的小型临床引用样本中的响应，这些样品未能复制 代表样品。 在这个高度创新的项目中，使用青少年脑认知发展（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 使用先进的统计方法来开发SEF的维度指数心理测量，然后评估 与种族和/或性别有关的测量偏差索引，检查偏见如何影响与 标准变量。我们还将使用多元网络神经科学方法来提炼关键组件 跨越多模式（结构，静止状态，功能性）神经影像学数据，以产生可靠的神经元指数 sef。使用SEF的这些新的心理测量和神经指数，我们将与犯罪进行检查， 合并的心理病理学和社会功能，以及与已知环境风险和 反社会行为的保护因素（例如，亲子关系，胜利）。与NIMH一致 战略目标2.2（“确定预测变化的临床有用的生物标志物和行为指标 在整个疾病的轨迹上”），该项目的完成将产生可靠且无偏的心理测量学和 大型潜水样本中早期SEF的多模式中性指标，可用于确定个体 反社会行为的危险因素在横截面和未来的数据收集浪潮中。