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

基本信息

  • 批准号:
    10066765
  • 负责人:
  • 金额:
    $ 3.42万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 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

项目摘要

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.
项目摘要 以下F31提案详细介绍了一项全面的研究和培训计划,其中包括具体的研究 活动和指导策略,为PI提供开始职业生涯的工具和技能, 独立研究者专注于理解情感性精神病理学的神经学基础, 特别是创伤后应激障碍因此,PI的教育背景和研究培训 远证明了一个全面的学生能够设计和完成一个成功的项目,在临床 神经成像然而,考虑到临床神经科学领域的不断发展,她需要额外的培训 和指导具体到创伤后应激障碍的神经模型,特别是大规模的网络模型,和临床 情感性精神病理学的特征此外,为了全面审查 创伤后应激障碍的神经学基础,多模式技术(包括静息状态和任务, 基于功能性磁共振成像(MRI)和情绪调节行为)。 具体而言,本项目将解决以下目标:1)展示改变的大规模内在 功能网络组织与创伤后应激障碍的成年人和2)证明增强的解释力, 大规模功能网络模型,用于理解PTSD的功能结果。 PI与教师赞助商Josh Cisler博士(威斯康星大学麦迪逊分校)一起沿着设计了一个培训 计划,这将有助于启动她的职业生涯,作为一个独立的调查员能够进行尖端的 临床研究具体而言,拟定的培训计划将挑战PI 1)提高其对以下方面的知识: 先进的、创新的、多模式的神经成像技术,包括结构MRI网络分析 以及静息状态和基于任务的功能性MRI。具体来说,她将接受基于图形和 静息状态和基于任务的功能性MRI的体素处理和分析; 2)提高她的知识 的PTSD神经回路,并在PTSD受试者人群的临床研究中获得高级培训 和复杂的合并症。为了实现这一目标,她将接受多种工具的培训, 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,以及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 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,并准备和提交 她的手稿传播她的研究成果。本培训和研究计划的总体目标是提供 一个翻译基础,为PTSD潜在的个性化干预提供神经网络模型。如果 从PI的研究中获得的知识可以帮助减轻PTSD症状的负担, 数以百万计的人患有这种使人衰弱的疾病。

项目成果

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Marisa Cathryn Ross其他文献

Marisa Cathryn Ross的其他文献

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{{ truncateString('Marisa Cathryn Ross', 18)}}的其他基金

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:
    10213605
  • 财政年份:
    2020
  • 资助金额:
    $ 3.42万
  • 项目类别:

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