Transdiagnostic Reward System Dynamics and Social Disconnection in Suicide

跨诊断奖励系统动态和自杀中的社会脱节

• 批准号: 10655760
• 负责人: Colin A. Depp
• 金额: $ 77.37万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-18 至 2028-02-29
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10655760
• 关键词: Accounting; Acute; Affect; Affective; Basic Science; Behavior; Buffers; Chronic; Code; Computing Methodologies; Data; Data Collection; Data Set; Diagnosis; Diagnostic; Disclosure; Ecological momentary assessment; Elements; Emotions; Face; Feeling suicidal; Impairment; Individual; Intervention; Learning; Link; Longitudinal Studies; Measurement; Measures; Mediating; Modeling; Mood Disorders; Motivation; National Institute of Mental Health; Natural Language Processing; Negative Valence; Participant; Patient Recruitments; Persons; Play; Populations at Risk; Positive Valence; Prevention; Prevention strategy; Process; Psychopathology; Psychotic Disorders; Research; Research Domain Criteria; Resources; Rewards; Role; Safety; Sampling; Social Behavior; Social Network; Social Processes; Social outcome; Specific qualifier value; Strategic Planning; Suicide; Suicide prevention; Syndrome; System; Testing; Time; Translating; Withdrawal; Work; affective psychoses; approach behavior; avoidance behavior; data integration; data streams; design; digital; digital mental health; dynamic system; experience; help-seeking behavior; ideation; improved; innovation; interest; longitudinal design; mHealth; motivational processes; novel; outreach; predictive modeling; preventive intervention; psychotic; recruit; response; smartphone based assessment; social; social relationships; speech processing; suicidal behavior; suicidal risk; suicide attempter; suicide rate; tool

PROJECT SUMMARY/ABSTRACT This resubmitted project evaluates the role of the positive valence system (PVS) in the interpersonal processes of disclosure, help-seeking, and safety planning in a transdiagnostic sample at risk for suicide. Interpersonal factors are central to contemporary models of the transition from suicide ideation to behavior, and social resources are key to effective suicide safety planning. Yet, interventions to promote informal help-seeking have been ineffective to date, and almost half of people do not disclose suicidal thoughts to anyone prior to attempt. Basic research on the mechanisms underlying social approach or avoidance behaviors in suicide could help identify new targets for more effective suicide prevention interventions. Here, we focus on investigating how the reward system (i.e., valuation, responsiveness and/or learning) is involved in engaging in social outreach behaviors before and during crises. In this proposal, we will recruit participants with either affective or psychotic disorders, stratified by current active suicidal ideation. Purposive sampling of both affective and psychotic diagnoses enables inclusion of a group with a similar high background risk of suicide, yet varying PVS and negative valence system (NVS) profiles. We will use a measurement burst longitudinal design which integrates lab-based tasks with bouts of ecological momentary assessment and passive sensing. Participants will be followed longitudinally for 12 months. Among lab-based tasks, we will administer our validated dyadic paradigm that simultaneously evaluates PVS and NVS components in a simulated social affiliation and disclosure context, and enables facial emotion coding and natural language processing of speech. In Aim 1, we will administer lab-based tasks and focus on evaluating the impact of PVS on suicide- related social affiliation, including social elements of the standard safety plan (e.g., people to contact in crisis) and help seeking opportunity within each individual’s social network. In Aim 2, we will use mobile assessments to model short-term dynamics of suicidal ideation and whether and to whom ideation is disclosed. In Aim 3, we will integrate lab-based and ecological momentary assessment data streams to build and test integrated predictive models of suicidal behavior over 12 months, evaluating stability of effects across affective or psychotic syndromes. We will evaluate whether social affiliation dynamics mediate the relationship between PVS components and suicidal ideation and behavior. The intended products of this research include an integrated dataset informative for translational interventions to improve long-term and acute suicide prevention. Innovative aspects of the proposed study include the lab-based dyadic social affiliation task, use of mobile health and computational methods to model dynamic aspects of help seeking, and the focal comparison of psychotic and affective syndromes. This proposal aligns with RDoC by probing connections across domains (PVS, NVS and Social Processes) in a transdiagnostic sample, and is also responsive to the NIMH Strategic Plan (Aim 2.2, Aim 3.2) and the NIMH Notice of Special Interest in Digital Mental Health.

项目摘要/摘要 这个重新提交的项目评估正价系统（PVS）在人际关系过程中的作用 在具有自杀风险的转诊样本中，披露，寻求帮助和安全计划。 因素是当代从自杀思想过渡到行为和社会的过渡模型的核心 资源是有效自杀安全计划的关键。但是，促进非正式寻求帮助的干预措施 至今一直无效，几乎一半的人在 试图。关于自杀的社会方法或回避行为的基础机制的基础研究 可以帮助确定更有效的自杀预防干预措施的新目标。在这里，我们专注于 调查奖励系统（即价值，响应能力和/或学习）如何参与参与 危机前后的社会外展行为。在此提案中，我们将招募参与者 情感或精神病性疾病，由当前的主动自杀思想分层。有目的的取样 情感和精神病诊断能够包含一个具有相似高背景自杀风险的群体， 然而，不同的PVS和负价系统（NVS）曲线。我们将使用测量爆发纵向 设计将基于实验室的任务与生态瞬时评估和被动敏感性的回合相结合。 参与者将纵向遵循12个月。在基于实验室的任务中，我们将管理我们的 经过验证的二元范式同时评估模拟社交中的PV和NVS组件 会员和披露环境，并实现面部情感编码和自然语言处理 演讲。在AIM 1中，我们将管理基于实验室的任务，并专注于评估PV对自杀的影响 相关的社会会员，包括标准安全计划的社会要素（例如，在危机中接触的人） 并帮助在每个人的社交网络中寻求机会。在AIM 2中，我们将使用移动评估 建模自杀念头的短期动态以及是否披露了思想。在AIM 3中，我们 将集成基于实验室的生态瞬时评估数据流以构建和测试集成 自杀行为的预测模型在12个月内，评估了情感或 精神病综合征。我们将评估社会会员动态是否调解 PVS组件以及自杀的想法和行为。这项研究的预期产品包括 综合数据集提供了翻译干预措施，以改善长期和急性自杀预防。 拟议研究的创新方面包括基于实验室的二元社会会员任务，使用移动 健康和计算方法，以模拟寻求帮助的动态方面，以及对 精神病和情感综合征。该建议通过探测跨域的连接与RDOC保持一致 （PVS，NVS和社会过程）在经诊断样本中，也对NIMH的战略响应 计划（AIM 2.2，AIM 3.2）和NIMH关于数字心理健康的特殊兴趣的通知。