Mobile RDoC: Using Smartphone Technology to Understand Auditory Verbal Hallucinations

项目摘要 听觉言语幻觉(AVH)也会发生在一系列精神健康状况的背景下 就像在其他被认为是健康的人身上一样。AVH会导致严重的痛苦、损害和需要 一些人需要照顾，但另一些人不需要。RDoC框架非常适合于更好地理解 AVH的现象学，因为它们可能是一系列精神体验的一部分，范围从“正常”到 病态的。在RDoC框架原则的基础上，拟议的项目侧重于AVH作为 更广泛的听觉感知结构，并利用综合的多方法范式 来自两个RDoC分析单位的衡量标准：自我报告和行为。我们的多学科调查团队 建议使用我们广泛试用的集成移动数据收集技术(生态 自我报告的瞬时评估和自动多模式感知以捕获行为)来研究AVH 体验和相关行为，因为它们在需要和不需要的人中实时/实时发生 关心。我们建议使用创新的在线和基于社区的参与者招聘战略，我们 已经在相关人群中进行了试点，以登记临床上不同的AVH患者样本。参与者 将配备集成的智能手机数据收集系统，并将积极自我报告AVH 当经验和相关变量使用EMA实时发生时。智能手机也将被动地 持续收集多通道行为传感数据。我们将结合这两种形式的数据来检查 自我报告的AVH和行为测量之间的时间关系在这两个方面的差异程度 组。具体地说，我们的目标是：评估临床状态是否与AVH的经历有关 实时/实时；检查人口统计、功能和即时社交/背景之间的关系 因素和AVH；以及在AVH之间的精神病认知模型中假设的时变关系的测试 评估、情感和行为反应。这一研究将促进我们对现象学的理解 AVH并使我们更接近于理解为什么有些人会发展为损害和需要护理，而另一些人会 不。这些发现可能有助于后续制定针对亚临床人群的预防策略 因此，他们不会在精神轨迹上取得进展，也不会为个人提供更有针对性的治疗 他们已经需要治疗了。如果成功，该项目将演示应用RDoC的效用 精神病研究的框架和综合方法论。

Project Summary Auditory Verbal Hallucinations (AVH) occur in the context of a range of mental health conditions as well as in individuals who are otherwise considered healthy. AVH lead to significant distress, impairment, and need for care in some, but not others. The RDoC framework is ideally suited to better understand the phenomenology of AVH as they may be part of a continuum of psychotic experience ranging from “normal” to pathological. Building on the principles of the RDoC framework, the proposed project focuses on AVH as part of the broader construct of Auditory Perception and leverages an integrative multi-method paradigm leveraging measures from two RDoC units of analysis: Self-Report and Behavior. Our multidisciplinary investigative team proposes to use integrated mobile data collection techniques that we have piloted extensively (Ecological Momentary Assessment for self-report and automated multi-modal sensing to capture behavior) to study AVH experience and associated behaviors, as they occur in real-time/real-place in people with and without need for care. We propose to use innovative online and community-based participant recruitment strategies that we have piloted in relevant populations to enroll a clinically diverse sample of individuals with AVH. Participants will be provided with an integrated smartphone data collection system and will actively self-report AVH experiences and associated variables as they occur in real-time using EMA. Smartphones will also passively collect multi-modal behavioral sensing data continuously. We will combine both forms of data to examine the extent to which temporal relationships between self-reported AVH and behavioral measures vary across both groups. Specifically, we aim to: evaluate whether clinical status is associated with how AVH is experienced in real- time/real-place; examine relationships between demographic, functional, and immediate social/contextual factors and AVH; and test time-varying relationships posited in a cognitive model of psychosis between AVH appraisal, affect, and behavioral response. The study will advance our understanding of the phenomenology of AVH and move us closer to understanding why some develop impairment and need for care, while others do not. Findings may help inform the subsequent development of prevention strategies for subclinical populations so they do not progress in the psychotic trajectory, as well as inform more targeted treatments for individuals who already require treatment. If successful, the project will demonstrate the utility of applying the RDoC framework and integrated methodological approach in psychosis research.