A Precision Medicine Approach to Target Engagement for Emotion Regulation

一种针对情绪调节的精准医学方法

• 批准号: 10371341
• 负责人: Matthew Wayne Southward
• 金额: $ 16.86万
• 依托单位: UNIVERSITY OF KENTUCKY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10371341
• 关键词: Address; Aftercare; Algorithms; Anger; Anxiety; Behavioral; Behavioral Model; Borderline Personality Disorder; Characteristics; Clinical; Consensus; Data; Development; Disease; Disease remission; Ecological momentary assessment; Educational process of instructing; Emotional; Emotional disorder; Emotions; Experimental Designs; Explosion; Goals; Influentials; Intervention; Investigational Therapies; Learning; Machine Learning; Maintenance; Mediating; Mental Health; Mental disorders; Mentored Patient-Oriented Research Career Development Award; Multimedia; National Institute of Mental Health; Nature; Outcome; Participant; Patient Representative; Patient Self-Report; Patient-Focused Outcomes; Patients; Persons; Phase; Population; Process; Productivity; Psychopathology; Randomized; Reporting; Research; Research Domain Criteria; Research Training; Role; Sampling; Scientist; Signal Transduction; Statistical Methods; Strategic Planning; Symptoms; Techniques; Testing; Therapeutic; Time; Training; Trauma; Work; base; behavior measurement; behavioral health; career; cost; depressive symptoms; design; efficacious intervention; emotion dysregulation; emotion regulation; emotional experience; emotional functioning; evidence base; experience; functional outcomes; health care availability; health care service; improved; in vivo; indexing; individual patient; novel; precision medicine; predictive test; prospective; response; skills; time use

Emotion dysregulation is a transdiagnostic maintenance factor involved in a wide array of costly and debilitating psychiatric disorders. Although numerous full-model behavioral health treatments have been designed to improve patients’ emotion regulation capacities, these treatments consist of multiple components, making it difficult to discern which are active mechanisms leading to reductions in negative emotion intensity. Further, it is unclear whether the delivery of these evidence-based components can be tailored to the individual patient. The proposed Mentored Patient-Oriented Research Career Development Award (K23) is a four-year plan to support the applicant’s long-term career goal of becoming a clinical scientist with expertise in (1) identifying active mechanisms of emotion regulation interventions for psychopathology, (2) tailoring these interventions to individual patients, and (3) developing scalable interventions for wide dissemination. The applicant’s training and career thus far are aligned with these long-term goals. Throughout his graduate work, he conducted studies testing emotion regulation mechanisms in transdiagnostic samples and used this information to explore for whom these mechanisms were most impactful. The immediate goals of the K23 award are for the applicant to become skilled at intensive longitudinal experimental designs to disaggregate between- from within-person mechanisms of change and enhance his proficiency in conducting and analyzing multimethod assessments of emotion regulation. This proposal uses a two-phase approach to address these goals. In line with an experimental therapeutics approach, the goal of Phase 1 is to compare the effects of teaching one or three emotion regulation skills on daily changes in negative emotion intensity among participants with elevated emotion dysregulation. The first goal of Phase 2 is to apply a personalization algorithm based on Phase 1 data to an independent sample to determine which baseline participant characteristics predict greater reductions in negative emotion intensity in each experimental condition. The second goal of Phase 2 is to compare the effects of teaching participants emotion regulation skill(s) according to their optimal or non-optimal delivery condition, based on the personalization algorithm. The training plan closely matches the proposed research and long-term goals, including (a) developing advanced understanding in statistical methods to test between- and within-person mechanisms of emotion regulation interventions, (b) gaining proficiency in applying novel personalization algorithms, and (c) enhancing expertise in the implementation and analysis of multimethod assessments of emotion regulation skills. The broader aim of this research and training is to address the need for more efficient, personalized, and scalable interventions for transdiagnostic psychiatric conditions, in line with the NIMH strategic plan. This study will answer important theoretical and practical questions about the efficacy of different emotion regulation mechanisms on clinical outcomes that may promote the development of more targeted and disseminable interventions.

情绪失调是一种跨诊断的维持因素，涉及广泛的昂贵和 使人衰弱的精神疾病尽管许多完整的行为健康治疗已经被 这些治疗旨在提高患者的情绪调节能力，包括多个部分， 使得难以辨别哪些是导致消极情绪强度降低的主动机制。 此外，目前还不清楚是否可以根据个人情况提供这些循证要素 病人拟议的指导以患者为导向的研究职业发展奖（K23）是一个为期四年的 计划支持申请人的长期职业目标，即成为一名具有以下专业知识的临床科学家（1） 确定精神病理学情绪调节干预的积极机制，（2）定制这些 个体患者的干预措施，以及（3）制定可扩展的干预措施，以广泛传播。的 申请人迄今为止的培训和职业生涯与这些长期目标保持一致。在他的研究生工作中， 他在跨诊断样本中进行了测试情绪调节机制的研究， 这些信息可以用来探索这些机制对谁最有效。K23的近期目标 奖项是为申请人成为熟练的密集纵向实验设计，以分解 之间-从内部人的变化机制，提高他的能力，在进行和分析 情绪调节的多方法评估。本提案采用两阶段方法来解决这些问题 目标.与实验治疗方法一致，第1阶段的目标是比较 教一个或三个情绪调节技巧的日常变化的负面情绪强度， 情绪失调的参与者。阶段2的第一个目标是应用个性化 基于1期数据的算法，以独立样本确定基线参与者 特征预测在每个实验条件下消极情绪强度的减少更大。的 第二阶段的第二个目标是比较教学参与者情绪调节技能的效果， 基于个性化算法，将它们的最佳或非最佳递送条件。培训计划 密切配合拟议的研究和长期目标，包括（a）发展先进的理解 在统计方法中测试情绪调节干预的人与人之间和人与人之间的机制，（B） 熟练应用新的个性化算法，以及（c）提高 情绪调节技能多方法测评实施与分析。更广泛的目标是， 研究和培训是为了满足对更有效，个性化和可扩展的干预措施的需求， 根据国家精神卫生研究所战略计划，对精神疾病进行跨诊断治疗。这项研究将回答重要的 关于不同情绪调节机制对临床疗效的理论和实践问题 可能促进制定更有针对性和可推广的干预措施的成果。