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
- 来源:
- 关键词:AddressAdultAffectiveAgeAlgorithmsAmygdaloid structureArousalBehaviorBehavioralBenchmarkingBiological MarkersBrainBrain DiseasesCharacteristicsClinicalClinical ResearchCommunicationCommunitiesComplexDSM-VDataData SetDetectionDevelopmentDiagnosisDiseaseDisease ProgressionEducational BackgroundExtinction (Psychology)FacultyFoundationsFrightFunctional Magnetic Resonance ImagingFunctional disorderFundingFutureGoalsGraphHumanIndividualInformation NetworksInsula of ReilInterpersonal ViolenceInterventionInterviewInvestigationKnowledgeLearningLifeLiftingMagnetic Resonance ImagingManuscriptsMapsMeasuresMedialMental disordersMentorshipMethodologyMethodsModelingNational Survey of AdolescentsNeural Network SimulationNeurologicNeuronal DysfunctionNeurosciencesOutcomeParticipantPathway AnalysisPatientsPatternPerformancePhenotypePhysiologicalPopulationPost-Traumatic Stress DisordersPrefrontal CortexPropertyPsychopathologyResearchResearch ActivityResearch PersonnelResearch Project GrantsResearch TrainingResolutionRestRisk FactorsRoleSamplingScanningScience PolicySeveritiesSocietiesStructureStudentsSurveysSymptomsTechnical ExpertiseTechniquesTestingTimeTrainingTraumaUniversitiesWisconsinWomanagedattentional biasbasecareerclinical diagnosticscohortcomorbidityconditioned feardesignemotion regulationfunctional outcomesgraph theoryimprovedinformation processinginnovationinstrumentinterestlarge datasetsmeetingsmultimodalitynetwork modelsneural circuitneural modelneural networkneuroimagingneuromechanismneurophysiologynovelrelating to nervous systemskillstooltraining projectviolence exposure
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.
项目总结
以下F31提案详细说明了包含具体研究的综合研究和培训计划
活动和指导战略,将为PI提供开始职业生涯的工具和技能
独立调查人员专注于了解情感性精神病理学的神经学基础,
尤其是创伤后应激障碍(PTSD)。因此,该协会的教育背景和研究培训
FAR展示了一个全面发展的学生有能力设计和完成一个成功的临床项目
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
和导师特定于创伤后应激障碍的神经模型,特别是大型网络模型,以及临床
情感性精神病理学的特点。此外,为了全面审查
像创伤后应激障碍这样复杂的障碍的神经学基础,多模式技术(包括静息状态和任务-
必须利用基于功能磁共振成像(MRI)和情绪调节行为)。
具体地说,这个项目将解决以下目标:1)展示改变的大规模内在
成年创伤后应激障碍患者的功能性网络组织和2)显示增强的解释能力
用于理解创伤后应激障碍患者功能结局的大规模功能网络模型。
PI与教师赞助人乔希·西斯勒博士(威斯康星大学麦迪逊分校)共同设计了一项培训
这将有助于她作为一名能够进行尖端研究的独立调查员开始职业生涯
临床研究。具体地说,拟议的培训计划将挑战私人投资经理1)提高她对以下方面的知识
先进、创新和多模式的神经成像技术,包括使用结构磁共振进行网络分析
静息状态和基于任务的功能磁共振成像。具体地说,她将接受基于图表的培训和
静息状态和基于任务的功能磁共振的体素处理与分析;2)增进她的知识
研究创伤后应激障碍的神经回路,并在一组创伤后应激障碍受试者中获得临床研究方面的高级培训
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,包括临床医生使用的创伤后应激障碍量表、结构化临床访谈
对于DSM-V障碍,以及全国妇女调查和全国妇女调查的创伤评估
青少年;以及3)参与网络和职业发展机会,以提高她的科学能力
并与临床研究人员和科学政策建立有意义的联系网络
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
传播她的研究成果的手稿。本培训和研究计划总体目标是
为创伤后应激障碍的潜在个体化干预提供神经网络模型的翻译基础。如果
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
数以百万计的人患有这种令人衰弱的疾病。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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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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