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
基本信息
- 批准号:10689016
- 负责人:
- 金额:$ 19.55万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:AccountingAcuteAdolescenceAdolescentAdultAttentionAttention deficit hyperactivity disorderBackBehaviorBehavioralBrainBrain regionCensusesChild RearingClinicalClinical ResearchCollectionCommunitiesConduct DisorderCrimeCuesDataData CollectionDevelopmentDimensionsDiseaseDisinhibitionEmotionalEmotionsEmpathyEnvironmental ImpactEnvironmental Risk FactorEthnic OriginEthnic PopulationEtiologyFaceFamilyFinancial costFunctional disorderFutureGenderIndividualIndividual DifferencesInequalityInterventionKnowledgeLinkLiteratureMeasurementMeasuresMethodsModalityNational Institute of Mental HealthNeurobiologyNeurosciencesParent-Child RelationsParentsPersonalityPhenotypePositioning AttributePreventionProcessPsychometricsPsychopathologyRaceReportingResearchRestRightsRiskRisk FactorsSamplingScienceSex BiasSocial DevelopmentSocial FunctioningSourceStatistical MethodsSubgroupTestingUnited StatesVariantVictimizationViolenceYouthantisocial behaviorcallous unemotional traitclinical biomarkerscognitive developmentcomorbiditycostdesigneffective interventionemotional functioningethnic biasethnic differencegender differencehealth disparityimprovedindexingindividual variationinnovationjuvenile justice systemmarginalizationmultimodal neuroimagingmultimodalityneuralneural correlateneural patterningneuroimagingnon-compliancepeerperceived discriminationpreadolescenceprotective factorspsychologicracial biasracial differenceracial populationresponsesexsocial normsubstance useteacher
项目摘要
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.
项目概要/摘要
从事反社会行为(即违反社会规范和他人权利的行为)的青少年
不遵守规定会给他们的家人、同伴和社区造成高昂的心理和经济损失。
和反社会行为是转诊治疗的主要原因,品行障碍 (CD) 的研究严重不足,
导致治疗方法的功效和普遍性有限。
需要那些对反社会行为有独特贡献的信息来帮助我们了解病因、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)——适当定向、处理和响应情绪的能力
线索——是区分反社会行为和其他外化行为的心理过程的集合
而 SEF 过程可以促进亲社会情绪(例如同理心)和行为(例如规则)。
顺从),SEF 功能障碍会导致冷酷无情和攻击性的人格风格,使其
已知的神经生物学相关性涉及结构、功能和连接组学。
然而,许多小型研究文献表明,大脑中涉及情绪反应的区域存在缺陷。
由于将针对 SEF 极端缺陷的心理测量措施与大脑联系起来,对 SEF 的研究受到了限制
使用极端群体设计在小型临床参考样本中做出的反应,但未能在
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(ABCD-SD)子研究,我们首先会改进SEF的测量
使用先进的统计方法开发 SEF 心理测量维度指数,然后对其进行评估
与种族和/或性别相关的测量偏差指数,检查偏差如何影响与种族和/或性别的关联
我们还将使用多元网络神经科学方法来提取关键成分。
跨多模式(结构、静息状态、功能)神经影像数据,生成可靠的神经指数
SEF。使用 SEF 这些新的心理测量和神经指数,我们将检查与犯罪的关联,
共病精神病理学和社会功能,以及与已知环境风险和风险的相互作用
反社会行为的保护因素(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行为指标,以预测变化
跨越疾病的轨迹”),该项目的完成将产生可靠且公正的心理测量和
大样本中早期 SEF 的多模态神经指标,可用于确定个体
横断面和未来数据收集浪潮中反社会行为的风险因素。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sarah Brislin其他文献
Sarah Brislin的其他文献
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{{ truncateString('Sarah Brislin', 18)}}的其他基金
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:
10369344 - 财政年份:2022
- 资助金额:
$ 19.55万 - 项目类别:
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