Multimodal Dynamics of Parent-child Interactions and Suicide Risk

亲子互动和自杀风险的多模态动力学

• 批准号: 10700982
• 负责人: Taylor A Burke
• 金额: $ 20.24万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-08 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10700982
• 关键词: Acoustics; Acute; Address; Adolescent; Arousal; Automation; Behavior; Behavioral; Biological Markers; Charge; Child; Classification; Clinical; Computer Models; Computer Vision Systems; Conflict (Psychology); Cues; Detection; Development; Emotional; Enrollment; Eyebrow structure; Failure; Family; Feeling suicidal; Foundations; Goals; Head; Hospitalization; Hospitalized Adolescent; Intervention; Knowledge; Life Stress; Machine Learning; Maintenance; Measurement; Mental Health; Methodology; Methods; Modeling; National Institute of Mental Health; Nature; Outcome; Parent-Child Relations; Parents; Patient Self-Report; Pattern; Population; Process; Public Health; Reporting; Research; Research Domain Criteria; Research Priority; Risk; Risk Assessment; Sampling; Social Processes; Stress; Suicide; Suicide attempt; Suicide prevention; Time; Visual; Voice; Voice Quality; adolescent suicide; age group; clinical decision-making; clinically significant; design; dyadic interaction; experience; high risk; improved; indexing; innovation; inpatient service; meetings; multimodality; negative affect; novel; predictive modeling; primary caregiver; prospective; social determinants; speech processing; stressor; suicidal adolescent; suicidal behavior; suicidal risk; suicide rate; tool; translational goal

Suicide continues to be a growing public health concern. Indeed, suicide rates have increased 33% since 1999. This concern has been particularly pronounced in the case of adolescents, as the suicide rates in this age group have tripled over the last 10 years. Clarifying potential processes of risk for suicidal behavior in this population therefore remains a pressing priority. Increasing theoretical and empirical focus has been devoted to the conceptualization of acute suicidal risk as being a period of elevated arousal. Stress within parent-child relationship dynamics may hold particular importance for understanding adolescents' proximal risk for suicidal behavior. However, all past studies examining parent-child relationship stress and suicidal behavior have used self-report methodologies and/or retrospective recall. Although studies employing these methodologies provide important knowledge about the association between life stress and mental health outcomes, they are not designed to characterize the interpersonal dynamics of these stressors as they unfold over time, which may be particularly relevant to short-term suicide risk. Recent advances in computational approaches to automatic sensing of acoustic and visual behaviors hold promise to address the need for clarifying indices of arousal in parent-child dynamics associated with adolescent suicide risk. A novel method to assess familial stress processes is through the automated assessment of synchrony, or the behavioral matching, of arousal between adolescents and their parents. In healthy parent-child dyads, parents and adolescents are responsive to each other's behavioral and emotional cues. However, during high stress or conflict, behavioral matching may be a marker of a high-risk interaction pattern inasmuch as it may be indicative of high arousal maintenance or escalation. Focusing on the RDoC constructs of arousal and social processes, the current R21 proposal aims to leverage recent developments in automated sensing of acoustic and visual behavior to characterize synchrony within the dynamics of a parent-child conflict task in a sample of psychiatrically hospitalized adolescents (n = 100) and their parents. The current study aims to evaluate whether acoustic and visual behavioral markers of arousal synchrony, respectively, are associated with prospective suicidal ideation three months post-discharge. We also aim to pool acoustic and visual behavioral markers of parent-child arousal synchrony through computational modeling to create a multimodal prediction model for prospective suicidal ideation, thereby to advance beyond unimodal analysis to multimodal analysis in classifying suicide risk. This R21 is intended as an initial step toward automating the assessment of parent-child arousal synchrony within clinical contexts to inform clinical decision-making and interventions. This proposal has both scientific and clinical significance because it is the first study to employ computational automation of acoustic and visual markers of suicide risk at the dyadic level and has the potential directly to inform adolescent suicide risk assessment and intervention.

自杀仍然是一个日益严重的公共卫生问题。事实上，自2010年以来， 1999.这一问题在青少年中尤为突出，因为青少年的自杀率 在过去10年里，这个年龄段的人增加了两倍。阐明自杀行为风险的潜在过程， 因此，人口问题仍然是一个紧迫的优先事项。越来越多的理论和经验的重点已经投入 急性自杀风险的概念化是一个高度觉醒的时期。亲子压力 关系动力学对于理解青少年自杀的近端风险可能具有特别重要的意义。 行为然而，过去所有关于亲子关系压力和自杀行为的研究都使用了 自我报告方法和/或回顾性回忆。尽管采用这些方法的研究提供了 关于生活压力和心理健康结果之间关系的重要知识，它们不是 旨在描述这些压力源随着时间的推移而展开的人际动态，这可能是 与短期自杀风险密切相关。计算机自动控制方法的最新进展 听觉和视觉行为的感知有望解决澄清唤醒指数的需要， 亲子动力学与青少年自杀风险相关。一种评估家庭压力的新方法 过程是通过自动评估同步，或行为匹配，唤醒之间 青少年及其父母。在健康的亲子关系中，父母和青少年对每个人都有反应。 其他人的行为和情绪线索。然而，在高压力或冲突期间，行为匹配可能是一种 - 高风险交互模式的标记，因为它可以指示高唤醒维持，或者 升级当前的R21提案聚焦于唤醒和社会过程的RDoC结构， 利用最新的发展，在自动传感的声学和视觉行为，以表征 精神病住院患者亲子冲突任务动态中的同步性 青少年（n = 100）及其父母。目前的研究旨在评估听觉和视觉 行为标记的唤醒同步，分别与前瞻性自杀意念三 出院后数月。我们还旨在汇集亲子唤醒的听觉和视觉行为标记 通过计算建模实现同步，为预期自杀创建多模式预测模型 构思，从而超越单峰分析，以多峰分析分类自杀风险。这 R21旨在作为自动评估父母-孩子唤醒同步性的第一步， 临床背景，为临床决策和干预提供信息。这一建议既具有科学性， 临床意义，因为这是第一项采用声学和视觉计算自动化的研究 在双元水平上的自杀风险标志物，并有可能直接告知青少年自杀风险 评估和干预。