Redefining Large-Scale Functional Network Models of Posttraumatic Stress Disorder through Resolution Limit-Free Community Detection

通过分辨率无限制的社区检测重新定义创伤后应激障碍的大规模功能网络模型

• 批准号: 10066765
• 负责人: Marisa Cathryn Ross
• 金额: $ 3.42万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10066765
• 关键词: Address; Adult; Affective; Age; Algorithms; Amygdaloid structure; Arousal; Behavior; Behavioral; Benchmarking; Biological Markers; Brain; Brain Diseases; Characteristics; Clinical; Clinical Research; Communication; Communities; Complex; DSM-V; Data; Data Set; Detection; Development; Diagnosis; Disease; Disease Progression; Educational Background; Extinction (Psychology); Faculty; Foundations; Fright; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Future; Goals; Graph; Human; Individual; Information Networks; Insula of Reil; Interpersonal Violence; Intervention; Interview; Investigation; Knowledge; Learning; Life; Lifting; Magnetic Resonance Imaging; Manuscripts; Maps; Measures; Medial; Mental disorders; Mentorship; Methodology; Methods; Modeling; National Survey of Adolescents; Neural Network Simulation; Neurologic; Neuronal Dysfunction; Neurosciences; Outcome; Participant; Pathway Analysis; Patients; Pattern; Performance; Phenotype; Physiological; Population; Post-Traumatic Stress Disorders; Prefrontal Cortex; Property; Psychopathology; Research; Research Activity; Research Personnel; Research Project Grants; Research Training; Resolution; Rest; Risk Factors; Role; Sampling; Scanning; Science Policy; Severities; Societies; Structure; Students; Surveys; Symptoms; Technical Expertise; Techniques; Testing; Time; Training; Trauma; Universities; Wisconsin; Woman; aged; attentional bias; base; career; clinical diagnostics; cohort; comorbidity; conditioned fear; design; emotion regulation; functional outcomes; graph theory; improved; information processing; innovation; instrument; interest; large datasets; meetings; multimodality; network models; neural circuit; neural model; neural network; neuroimaging; neuromechanism; neurophysiology; novel; relating to nervous system; skills; tool; training project; violence exposure

PROJECT SUMMARY The following F31 proposal details a comprehensive research and training plan, containing specific research activities and a mentorship strategy that will provide the PI with the tools and skills to begin a career as an independent investigator focused on understanding the neurological basis of affective psychopathologies, specifically posttraumatic stress disorder (PTSD). The PI’s educational background and research training thus far demonstrates a well-rounded student capable of designing and completing a successful project in clinical neuroimaging. However, given the ever-evolving field of clinical neuroscience, she requires additional training and mentorship specific to neural models of PTSD, particularly large-scale network models, and the clinical characteristics of affective psychopathology. Furthermore, in order to comprehensively examine the neurological basis of a disorder as complex as PTSD, multi-modal techniques (including resting-state and task- based functional magnetic resonance imaging (MRI), and emotional-regulation behavior) must be utilized. Specifically, this project will address the following aims: 1) to demonstrate altered large-scale intrinsic functional network organization in adults with PTSD and 2) to demonstrate enhanced explanatory power of large-scale functional network models for understanding functional outcomes in PTSD. The PI, along with faculty sponsor Dr. Josh Cisler (University of Wisconsin-Madison), has designed a training plan that will help to launch her career as an independent investigator capable of conducting cutting-edge clinical research. Specifically, the proposed training plan will challenge the PI to 1) enhance her knowledge of advanced, innovative, and multi-modal neuroimaging techniques including network analysis with structural MRI and resting-state and task-based functional MRI. Specifically, she will receive training in both graph-based and voxelwise processing and analysis of resting-state and task-based functional MRI; 2) advance her knowledge of PTSD neurocircuitry and obtain advanced training in clinical research in a population of subjects with PTSD and complex comorbidities. To accomplish this goal, she will receive training in multiple instruments of diagnostic clinical interviewing, including the Clinician-Administered PTSD Scale, Structured Clinical Interview for DSM-V Disorders, and the trauma assessment of the National Women’s Survey and National Survey of Adolescents; and 3) engage in networking and professional development opportunities to improve her scientific communication and form a network of meaningful connections with clinical researchers and science policy professionals. To accomplish this goal, she will attend professional meetings and prepare and submit manuscripts to disseminate her research findings. The overall goal of this training and research plan is provide a translational foundation to inform neural network models for potential individualized interventions for PTSD. If funded, the knowledge gained from the PI’s research could help to lift the burden of PTSD symptoms for millions of people suffering from this debilitating disorder.

项目概要 以下 F31 提案详细介绍了全面的研究和培训计划，其中包含具体研究 活动和指导策略，将为 PI 提供开始职业生涯所需的工具和技能 独立调查员专注于了解情感精神病理学的神经学基础， 特别是创伤后应激障碍（PTSD）。 PI 的教育背景和研究培训 far 展示了一名全面发展的学生有能力设计和完成成功的临床项目 神经影像学。然而，鉴于临床神经科学领域不断发展，她需要额外的培训 针对 PTSD 神经模型（特别是大规模网络模型）和临床的指导 情感精神病理学的特征。此外，为了全面考察 像 PTSD 这样复杂的疾病的神经学基础、多模式技术（包括静息状态和任务状态） 必须利用基于功能磁共振成像（MRI）和情绪调节行为的方法。 具体来说，该项目将实现以下目标：1）展示改变的大规模内在特征 患有 PTSD 的成年人的功能网络组织，以及 2) 证明增强的解释力 用于理解 PTSD 功能结果的大规模功能网络模型。 PI 与教师赞助人 Josh Cisler 博士（威斯康星大学麦迪逊分校）一起设计了一项培训 计划将有助于开启她作为一名能够进行尖端研究的独立调查员的职业生涯 临床研究。具体来说，拟议的培训计划将挑战 PI 1) 增强她的以下知识： 先进、创新和多模式神经影像技术，包括结构 MRI 网络分析 以及静息态和基于任务的功能 MRI。具体来说，她将接受基于图表和 静息态和基于任务的功能 MRI 的体素处理和分析； 2）提高她的知识 PTSD 神经回路的研究并获得 PTSD 受试者群体临床研究的高级培训 以及复杂的合并症。为了实现这一目标，她将接受多种乐器的培训 诊断性临床访谈，包括临床医生管理的 PTSD 量表、结构化临床访谈 DSM-V 疾病、全国妇女调查和全国妇女调查的创伤评估 青少年； 3）参与网络和专业发展机会，以提高她的科学能力 沟通并与临床研究人员和科学政策形成有意义的联系网络 专业人士。为了实现这一目标，她将参加专业会议并准备并提交 传播她的研究成果的手稿。本次培训和研究计划的总体目标是提供 一个转化基础，为神经网络模型提供针对 PTSD 的潜在个性化干预措施的信息。如果 如果获得资助，从 PI 的研究中获得的知识可以帮助减轻 PTSD 症状的负担 数百万人患有这种使人衰弱的疾病。