Using Multimodal Neuroimaging and Real-World Experience Sampling to Understand Negative Affect and Paranoid Ideation in Psychosis

使用多模态神经影像和现实世界经验采样来理解精神病中的负面情绪和偏执观念

• 批准号: 10415873
• 负责人: JACK J. BLANCHARD
• 金额: $ 72.64万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10415873
• 关键词: Acute; Amygdaloid structure; Animals; Anterior; Anxiety; Arousal; Base of the Brain; Belief; Benign; Biological; Brain; Brain imaging; Categories; Cellular Phone; Clinical Psychology; Communities; Complex; Cues; Data; Delusions; Development; Diagnosis; Dimensions; Discipline; Disease; Emotional; Enrollment; Environment; Etiology; Face; Fostering; Functional Magnetic Resonance Imaging; Functional disorder; Goals; Human; Hypersensitivity; Image; Individual; Insula of Reil; Intervention; Life; Measures; Mediating; Mental disorders; Methods; Modeling; National Institute of Mental Health; Neurophysiology - biologic function; Neurosciences Research; Paranoia; Pathway interactions; Patients; Pattern; Perception; Perfusion; Plant Roots; Play; Prefrontal Cortex; Process; Psychiatric Diagnosis; Psychiatry; Psychopathology; Psychoses; Psychotic Disorders; Regulation; Reporting; Research; Research Domain Criteria; Research Personnel; Research Project Grants; Resistance; Rest; Role; Sampling; Scanning; Schizophrenia; Stimulus; Structure of terminal stria nuclei of preoptic region; Support System; Surveys; Symptoms; System; Technical Expertise; Techniques; Technology; Testing; Therapeutic; Time; United States National Institutes of Health; Work; affective neuroscience; anxious; base; biopsychosocial; clinically significant; digital intervention; disease classification; experience; ideation; innovation; insight; man; multidisciplinary; multimodal neuroimaging; negative affect; neuroimaging; neurophysiology; novel; public health relevance; relating to nervous system; response; social; theories; trait; translational model; vigilance

Paranoid ideation—the mistaken belief that intentional harm is likely to occur—spans a continuum, from mild suspicion to persecutory delusions. Among patients with schizophrenia and other psychosis disorders, elevated levels of paranoia are common, debilitating, and challenging to treat. The cues (public environments, strangers) and processes (anxiety) that promote paranoia have grown increasingly clear, but the brain bases of these pathways are unknown, thwarting the development of mechanistic models and, ultimately, the development of more effective or tolerable biological interventions. Leveraging our team’s unique multidisciplinary expertise and productive track record of NIH-sponsored research, this project will use an innovative combination of paranoia assessments, advanced neuroimaging techniques, and smartphone-based experience sampling to clarify the factors governing paranoia. We will enroll the full spectrum of paranoia without gaps or discontinuities—including psychosis patients with frank persecutory delusions and matched community controls. These data will allow us to rigorously examine the hypothesized contribution of brain circuits responsible for triggering anxiety and evaluating the threat potential of everyday social cues, such as faces. Integrating neuroimaging measures with experience-sampling data will enable us to extend these insights to the real world—a key step to establishing therapeutic relevance—for the first time. It has become increasingly clear that categorical psychiatric diagnoses (e.g. schizophrenia) present significant barriers to understanding pathophysiology. Our focus on dimensional measures of paranoia overcomes many of these barriers and dovetails with the National Institute of Mental Health’s Strategic Objectives and Research Domain Criteria (RDoC) initiative. This work would provide a potentially transformative opportunity to test and refine theory, deepen our understanding of etiology, guide the development of new translational models, discover new treatment targets, and provide an integrative biopsychosocial framework for unifying research across investigators, approaches, and scholarly guilds.

偏执的想法（错误地认为可能发生故意伤害）的错误想法从中段开始了 对迫害妄想的可疑。在精神分裂症和其他精神病患者中， 偏执狂的水平很普遍，令人衰弱，并且可以治疗挑战。提示（公共环境，陌生人） 促进偏执狂的过程（焦虑）越来越清晰，但这些脑部的底部 途径是未知的，挫败了机械模型的发展，并最终发展 更有效或可耐受的生物学干预措施。利用我们团队独特的多学科专业知识和 NIH赞助研究的生产往绩记录，该项目将使用偏执狂的创新组合 评估，高级神经影像学技术和基于智能手机的经验取样，以阐明 偏执狂的因素。我们将在没有差距或不连续性的情况下招募全部偏执狂（包括） 精神病患者有坦率的迫害妄想和匹配的社区控制。这些数据将使我们 严格检查负责触发动画和的大脑电路的假设贡献 评估每天的社交线索的威胁潜力，例如面孔。将神经影像措施与 经验采样数据将使我们能够将这些见解扩展到现实世界，这是建立的关键步骤 治疗相关性 - 第一次。越来越清楚的是，分类精神病诊断 （例如精神分裂症）为理解病理生理学带来了重大障碍。我们专注于维度 偏执狂的度量克服了许多与国家心理研究所的障碍和吻合 健康的战略目标和研究领域标准（RDOC）倡议。这项工作将提供 潜在的变革性机会来检验和完善理论，加深我们对病因的理解，指导 开发新的翻译模型，发现新的治疗目标并提供集成的 跨研究人员，方法和科学行会统一研究的生物心理社会框架。