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.

项目总结/摘要 从事反社会行为的青少年（即，违反社会规范和他人权利的行为） 对他们的家庭、同伴和社区造成昂贵的心理和经济损失。虽然不遵守 和反社会行为是治疗转诊的主要原因，品行障碍（CD）严重缺乏研究， 导致治疗具有有限的功效和普遍性。机械过程研究 我们需要了解导致反社会行为的独特因素， 保护因素，并提供预防和治疗的目标。 社会情绪功能（Socioemotional functioning，SEF）--正确地定位、处理和回应情绪的能力。 线索--是一系列心理过程的集合，这些心理过程将反社会行为与其他外部化行为区分开来。 紊乱虽然SEF过程可以促进亲社会情绪（例如，移情）和行为（例如，规则 整合），SEF功能障碍有助于冷酷无情和侵略性的人格风格，使其成为一个 更容易伤害别人。已知的神经生物学相关性涉及结构，功能和连接组学 与情绪反应有关的大脑区域的缺陷。然而，许多小型研究文献 由于将针对SEF极端缺陷的心理测量方法与大脑联系起来， 使用极端组设计，在小型临床参考样本中的响应， 代表性样品。 在这个高度创新的项目中，使用来自青少年大脑认知发展（ABCD）的数据， 研究和ABCD-社会发展子研究（ABCD-SD），我们将首先改进SEF的测量 运用先进的统计学方法，建立了SEF的维度指标，并对其进行了评价 与种族和/或性别有关的测量偏差指数，研究偏差如何影响与 准则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 跨多模态（结构、静息状态、功能）神经成像数据，以产生可靠的神经指数， SEF使用这些新的心理测量和神经指标的SEF，我们将研究协会与犯罪， 共病精神病理学和社会功能，以及与已知环境风险的相互作用， 保护因素（例如，亲子关系，受害）的反社会行为。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 整个疾病的轨迹”），完成这个项目将产生可靠和公正的心理测量， 在一个大的，不同的样本中，早期SEF的多模态神经指标，可用于确定个体 反社会行为的风险因素，包括跨部门和未来的数据收集浪潮。