Dimensional connectomics of anxious misery

焦虑痛苦的维度连接组学

基本信息

批准号：
9285832
负责人：
YVETTE I SHELINE
金额：
$ 69.41万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-06-03 至 2020-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9285832
关键词：
Adult Affect Age Algorithms Ambulatory Care Facilities American Anatomy Behavior Behavioral Brain Brain imaging Chronic Clinical Clinical assessments Cognitive DNA Data Data Set Databases Dimensions Disease Disease Marker Functional disorder Generalized Anxiety Disorder Genetic Goals Graph Health Human Image Individual Length Major Depressive Disorder Measures Modality National Institute of Mental Health Negative Valence Neurocognitive Participant Patient Self-Report Patients Pattern Pennsylvania Population Post-Traumatic Stress Disorders Procedures Protocols documentation Psychiatric Diagnosis Recruitment Activity Research Research Domain Criteria Research Personnel Risk Sampling Science Severities Symptoms System Testing Training Treatment Efficacy United States National Institutes of Health Universities Validation anxious base brain behavior brain circuitry computerized connectome data sharing disabling symptom exhaust follow-up innovation neuroimaging novel phenomenological models predict clinical outcome prisma public health relevance response tool

项目摘要

DESCRIPTION (provided by applicant): Every year more than 30% (2 billion) of the world's population and 75 million adult Americans suffer from disorders that have been lumped under the term "anxious misery." Among patients who receive treatment, a large number remain with debilitating symptoms, often for years or decades. Recently the NIMH has led efforts to define constructs within the Negative Valence System (NVS) that cut across such disorders in order to spur research on underlying mechanisms. This application will focus on potential brain circuitry and behaviors associated with "loss", and "responses to sustained threat," two of the most central NVS dimensions. By considering these brain circuits jointly, we can disentangle these dimensions for more specific targeting of disabling symptoms. Recent improvements in treatment efficacy have been shown in studies that target regions by mapping individual anatomy and connectivity patterns. This application, submitted in response to PAR-14-281, by a team of investigators at the forefront of understanding NVS disorders, will comprehensively characterize NVS spectrum disorders using the RDoC framework, focusing on brain circuits important in pathophysiology across the spectrum of loss and responses to sustained threat. By implementing neuroimaging assessment on a single Prisma scanner optimized for compatibility with the Human Connectome Protocol (HCP) and by collecting demographic data, neurocognitive data using the NIH Toolbox and Penn Computerized Neurocognitive Battery (CNB), and DNA samples, along with specialized assessments pertinent to NVS disorders, we will expand the HCP database with a highly significant pathophysiology sample for human health. These goals will be achieved by recruiting 50 control participants and 200 participants with anxious misery symptoms from the Outpatient Clinics of the University of Pennsylvania, where they will undergo an extensive multi-modal assessment to characterize the cross-sectional phenomenology of these NVS domains and a one-year followup to assess subsequent symptoms. The proposed project has both objectives and hypotheses. The main objective is to acquire and make public a vast database of brain imaging and behavioral data from patients with anxious misery as well as innovative new tools to analyze brain connectome changes. This objective includes careful QA and harmonization procedures. The main hypothesis to be tested is that severity of responses to sustained threat and loss correlate with dissociable circuit abnormalities in the structural and functional connectome; further, these abnormalities will predict course of illness.

描述（由适用提供）：每年有超过30％（20亿）人口和7500万成年美国人患有“焦虑痛苦”一词的疾病。在接受治疗的患者中，大量症状仍然令人衰弱，通常数年或几十年。最近，NIMH领导了努力定义负面价系统（NVS）中的结构，这些构建体涉及这些疾病，以刺激基础机制的研究。该应用将集中于潜在的脑电路和与“损失”和“对持续威胁的反应”相关的行为，这是两个最中心的NVS维度。通过共同考虑这些大脑电路，我们可以解散这些维度，以更具体地靶向禁用症状。通过绘制单个解剖结构和连通性模式来靶向区域的研究表明，治疗效率的最新提高。该应用程序是由一组理解NVS疾病的研究人员团队提交的，该应用程序将使用RDOC框架全面地表征NVS光谱障碍，重点是脑电路对跨损失光谱和持续威胁的病理生理学重要。通过对单个Prisma扫描仪进行神经影像的评估，该评估优化了与人类Connectome协议（HCP）的兼容性，并通过NIH工具箱和Penn计算机化的神经认知电池（CNB）（CNB）（CNB）以及DNA样本以及对NVS的专门评估，我们将使用NIH计算机化的神经认知电池（CNB）收集人口统计学数据，神经认知数据，我们将扩展HCP，我们将扩展HCP，我们将扩展hcpsips anc。健康。这些目标将通过招募50名对照参与者和200名参与者从宾夕法尼亚大学门诊诊所出现焦虑症状症状，在那里他们将接受广泛的多模式评估，以表征这些NVS领域的横断面现象学，并进行一年的随访，以评估后续症状。拟议的项目既有目标又有假设。主要目的是从焦虑痛苦的患者以及创新的新工具中获取并使公众成为大脑成像和行为数据的庞大数据库，以分析脑连接的变化。该目标包括仔细的质量检查和协调程序。要测试的主要假设是，对持续威胁和损失的响应严重程度与结构和功能连接中的可分离电路异常相关。此外，这些异常将预测疾病的病程。