Using Functional Neuroimaging and Smartphone Digital Phenotyping to Understand the Emergence of Internalizing Illness

使用功能神经影像和智能手机数字表型来了解内化疾病的出现

• 批准号: 10749114
• 负责人: Shannon Grogans
• 金额: $ 4.77万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10749114
• 关键词: Address; Adult; Affective; Amygdaloid structure; Animals; Anterior; Anxiety; Anxiety Disorders; Attention; Behavior; Behavioral; Biological; Black, Indigenous, People of Color; Brain imaging; Cellular Phone; Clinical; Clinical Psychology; Clinical Sciences; Complex; Data; Data Collection; Development; Diagnosis; Dimensions; Disease; Disease susceptibility; Distress; Ecological momentary assessment; Emotional; Emotional disorder; Emotions; Enrollment; Ensure; Ethics; Etiology; Event; Exposure to; Face; Feeling; Functional Magnetic Resonance Imaging; Future; Human; Imaging Techniques; Individual; Insula of Reil; Interview; Life; Link; Maryland; Measures; Mediator; Mental Depression; Mental disorders; Mentors; Modeling; Moods; Morbidity - disease rate; Neurobiology; Neurosciences Research; Neurotic Disorders; Panic; Pathology; Pathway interactions; Patient Self-Report; Perception; Phenotype; Productivity; Psychiatry; Public Health; Publications; Questionnaires; Recurrence; Research; Research Ethics; Risk; Risk Factors; Role; Safety; Sampling; Self Medication; Shock; Signal Transduction; Social isolation; Social support; Stress; Structure; Symptoms; Testing; Training; Vulnerable Populations; Withdrawal; Work; advanced analytics; analytical tool; archived data; biobank; brain circuitry; career; cost; digital; emerging adult; ethnoracial; experience; improved; innovation; longitudinal, prospective study; mHealth; negative mood; neural; neuroimaging; prevent; programs; prospective; psychosocial; racial diversity; recruit; sex; skills; social; targeted treatment; theories; therapeutic development; therapy development

Anxiety and depression impose a staggering burden on public health and often emerge during times of stress. Yet the underlying mechanisms remain poorly understood, thwarting the development of improved treatments. While the etiology of internalizing illness is undoubtedly complex and multifactorial, emerging evidence motivates the overarching hypothesis that aberrant neural processing of Threat and Safety independently confer increased risk for internalizing illnesses. This work suggests that: (a) hyper-reactivity to Uncertain Threat anticipation increases risk, (b) deficient Safety Signaling increases risk, and (c) these associations are magnified by exposure to Negative Life Events (NLEs). Archival data from the Maryland iRisk Study provide an optimal platform for rigorously addressing these fundamental gaps. iRisk is a recently completed prospective-longitudinal study focused on a racially diverse, sex-balanced sample of emerging adults enriched for internalizing risk. At enrollment, fMRI and a well-established Threat-anticipation task were used to quantify reactivity to Uncertain and Certain Shock-Threat, as well as Safety. Reactivity to a popular emotion-perception (‘threat-related’ faces) task was also assessed. Smartphone ecological momentary assessment (EMA) was used to intensively probe daily experience at 0, 6, 24, and 30 months, providing an unprecedented multi-year assessment of mood dynamics and a first opportunity to assess the real-world significance of Threat and Safety brain circuitry. At each wave, mood, symptoms, function, and social support were also assessed. Diagnoses, dimensional symptoms, and NLEs were assessed using gold-standard interviews at 0, 15, and 30 months. These data will enable me to (1) understand the relevance of Threat and Safety circuity to the emergence of internalizing symptoms/diagnoses, (2) understand their role in the emergence of more etiologically proximal pathology- promoting feelings and behaviors in daily life, and (3) explore the relative predictive merits of a genuinely distressing Threat-anticipation task vs. a widely used Threat-perception (emotional-faces) task. Impact. Internalizing illnesses are a leading cause of human misery and morbidity. This project would provide a potentially transformative opportunity to deepen our understanding of etiology and refine clinical science theory. It would inform the development of mechanistic models in humans and animals, and provide a quantitative rationale for prioritizing new biological and psychosocial targets for therapeutics development and repurposing, including scalable mHealth approaches. This project builds on my strong computational and neuroimaging skills, my extensive experience with practical aspects of study implementation, and my preliminary experiences working with EMA data. It would provide an exceptional vehicle for training in state-of-the-art analytic approaches, EMA data collection and best-practices, internalizing illness, and research ethics; and for developing the cutting-edge research program, professional skills, and publication record necessary to flourish as an independent clinical affective neuroscientist.

焦虑和抑郁会对公共卫生造成惊人的烧伤，并且在压力时期常常出现。 然而，基本机制仍然很少了解，从而挫败了改善治疗的发展。 虽然内部化疾病的病因无疑是复杂且多因素的，但新兴的证据却促使 总体假设，即对威胁和安全的异常神经调查独立会议增加 内化疾病的风险。这项工作表明：（a）对不确定威胁预期的过度反应性 增加风险，（b）不足的安全信号会增加风险，（c）这些关联被放大 暴露于负面生活事件（NLE）。马里兰州Irisk研究的档案数据提供了最佳的 严格解决这些基本差距的平台。 Irisk是最近完成的前瞻性长期 研究的重点是大致多样化的，性均衡的新兴成人样本，以内化风险。 招生，fMRI和一项良好的威胁期望任务用于量化反应性以不确定 以及某些电击威胁以及安全。对流行情绪感知的反应性（“与威胁有关”的面孔） 还评估了任务。智能手机生态瞬时评估（EMA）被用来深入证明 在0、6、24和30个月的每日经验，提供了空前的多年情绪评估 动态和第一个评估威胁和安全脑电路的现实意义的机会。 还评估了每个波浪，情绪，症状，功能和社会支持。诊断，维度 症状和NLE在0、15和30个月时使用金标准访谈评估。这些数据将 使我能够（1）了解威胁和安全巡回赛与内在化的出现的相关性 症状/诊断，（2）了解它们在病因近端病理学的出现中的作用 - 促进日常生活中的感受和行为，（3）探索真正的相对预测优势 令人痛苦的威胁预期任务与广泛使用的威胁感知（情感面）任务。影响。 间隔疾病是人类痛苦和发病率的主要原因。这个项目将提供一个 潜在的变革机会，以加深我们对病因和完善临床科学理论的理解。 它将告知人类和动物机械模型的发展，并提供定量 优先考虑新的生物和心理社会目标的理由，用于治疗开发和重新利用， 包括可扩展的MHealth方法。这个项目以我强大的计算和神经影像学技能为基础 我在研究实施的实际方面的丰富经验以及我的初步经验 使用EMA数据。它将为最先进的分析提供出色的工具 方法，EMA数据收集和最佳实践，内部化疾病和研究伦理；和 制定尖端的研究计划，专业技能和出版记录，以使其荧光浮游 作为独立的临床情感神经科学家。