A multi-method assessment of error sensitivity and anxiety in childhood and adolescence

描述（由申请人提供）：据估计，15 - 20%的儿童和青少年受到焦虑症的影响，使焦虑成为该人群中最常见的精神病理学形式。因此，迫切需要确定标记物， 风险的预测规范与焦虑的发展轨迹，可以告知发病机制，并预测随后的结果;这些标志物也可以是关键的个人识别干预和预防工作。在Hajcak Proudfit博士的指导下，目前的提案旨在调查核心风险期内儿童和青少年女性的大样本中与错误相关的大脑活动，这是一种有前途的焦虑生物标志物。ERP和功能磁共振成像数据，以及诊断访谈，自我报告的措施，目前正在收集一个大的（N=150）和纵向正在进行的R 01研究NIMH资助的女孩从8至14岁，过度抽样的基础上焦虑的风险;焦虑症状和诊断将评估约2年后的首次访问。使用多种错误处理措施（2个ERP任务和1个fMRI）和焦虑（自我报告和访谈），我将模型错误敏感性和特质焦虑作为潜在变量，并检查横截面和前瞻性的关系，允许分析以确定不同的神经测量是否捕获与焦虑相关的独特和重叠的方差，以及错误敏感性是否可以预测青少年焦虑的增加。发展，控制最初的焦虑症状。目前的培训计划将扩大我的方法学技能，功能磁共振成像，使我可以检查错误处理的多个神经措施;此外，我 将学习先进的统计方法来模拟错误处理和焦虑之间的横截面和前瞻性关系作为潜在特征。目前的建议建立在以前的工作，以解决文献中的差距，关于不同的神经测量的具体性错误处理焦虑，以及错误处理的有效性作为一个风险标志，可以预测增加焦虑的前瞻性。

DESCRIPTION (provided by applicant): Between 15 - 20% of children and adolescents are estimated to be affected by anxiety disorders, making anxiety the most frequently diagnosed form of psychopathology in this population. Therefore, there is a critical need to identify markers of risk that predict normative versus anxious trajectories of development that could inform etiopathogenesis, and predict subsequent outcomes; such markers could also be critical for identifying individuals for intervention and prevention efforts. Under the guidance of Dr. Hajcak Proudfit, the current proposal aims to investigate error related brain activity, a promising biomarker of anxiety, in a large sample of children and adolescent females during a core risk period. ERPs and fMRI data, as well as diagnostic interviews, and self-report measures are currently being collected in a large (N=150) and longitudinal ongoing NIMH-funded R01 study on girls ranging from 8 to 14 years of age, oversampled based on risk for anxiety; anxiety symptoms and diagnoses will be assessed approximately 2 years after the initial visit. Using multiple measures of error processing (2 ERP tasks and 1 fMRI) and anxiety (self-report and interview), I will model error sensitivity and trait anxiety as latent variables and examine both cross-sectional and prospective relationships, allowing for analyses to determine whether different neural measures capture both unique and overlapping variance related to anxiety and whether error sensitivity can predict increased anxiety across adolescent development, controlling for initial anxiety symptoms. The current training plan will expand my methodological skills to fMRI, so that I can examine multiple neural measures of error-processing; additionally, I will learn advanced statistical approaches to model cross-sectional and prospective relationships between error processing and anxiety as latent traits. The current proposal builds on prior work to address a gap in the literature regarding the specificity of different neural measures of error processing to anxiety, as well as the validity of error processing as a risk marker that can predict increased anxiety prospectively.