Brain Network Connectivity Measures in Early Stroke Rehabilitation

早期中风康复中的脑网络连接措施

• 批准号: 9894945
• 负责人: Jessica M Cassidy
• 金额: $ 24.86万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9894945
• 关键词: Academia; Action Research; Address; Admission activity; Anxiety; Award; Behavior; Behavior assessment; Behavioral; Biology; Brain; Brain Injuries; Brain Mapping; California; Clinical; Clinical Research; Clinical Sciences; Cognitive deficits; Complement; Corticospinal Tracts; Custom; Data Analyses; Doctor of Philosophy; Dose; Electroencephalography; Environment; Equipment and supply inventories; Faculty; Functional Magnetic Resonance Imaging; Funding; Goals; Grant; Hospitals; Injury; Inpatients; Institutes; Institution; Investigation; Length of Stay; MRI Scans; Measurement; Measures; Medical center; Mental Depression; Mentors; Mentorship; Methods; Modeling; Motivation; Motor; Motor Cortex; Neurologist; Neurophysiology - biologic function; Outcome Measure; Pathway interactions; Patient-Focused Outcomes; Patients; Phase; Phenotype; Physical therapy; Positioning Attribute; Public Speaking; Quality of life; Recovery; Rehabilitation Research; Rehabilitation therapy; Research; Research Methodology; Research Project Grants; Research Training; Resources; Rest; Role; Sampling; Scientist; Selection for Treatments; Signal Transduction; Specialist; Stroke; Structure; Techniques; Testing; Time; Training; Translational Research; Universities; Update; Upper Extremity; Validation; Washington; Work; Writing; arm; base; behavior measurement; care costs; career; career development; chronic stroke; clinical application; clinical candidate; clinical decision-making; depression model; experience; functional independence; geriatric depression; improved; insight; laboratory experience; member; motor impairment; motor recovery; nerve injury; neural network; neuroimaging; neurophysiology; post stroke; precision medicine; predictive modeling; recruit; relating to nervous system; repaired; robot therapy; secondary outcome; sensory cortex; somatosensory; statistics; stroke rehabilitation; stroke survivor; tenure track; training opportunity; training project

The research and training plans proposed in this Pathway to Independence Award will accelerate the candidate's transition to independent research scientist and tenure-track faculty member at a primary research institution. This award will support the candidate's investigation of functional neuroimaging measures of brain network connectivity in inpatient stroke rehabilitation. The candidate will acquire training in advanced resting- state functional magnetic resonance imaging (rsfMRI) and electroencephalography (EEG) analysis and clinical research methodology. The training plan involves customized mentoring, coursework in signal analysis and statistics, hands-on laboratory experiences, and professional career development activities targeting grant writing and grantsmanship, public speaking, and transitioning to academia. This award will complement the candidate's clinical background in physical therapy and prior stroke rehabilitation research. The K99 phase of the award will occur at the University of California, Irvine under the mentorship of Steven C. Cramer, MD, an exceptional neurologist and leader in stroke rehabilitation, and co-mentorship of Ramesh Srinivasan, PhD, a renowned specialist in EEG neurophysiology and data analysis. The University of California, Irvine will provide the candidate with an excellent research environment and an assortment of resources and opportunities to achieve her scientific and professional goals. Specifically, the University's Institute for Clinical & Translational Science and Medical Center will serve pivotal roles in the candidate's hospital-based research project. Co-mentors Alex Carter, MD, PhD (Washington University) and Carolee Winstein, PhD, PT, FAPTA (University of Southern California) will strengthen the candidate's independence in rsfMRI and clinical research methodology, respectively. Neuroimaging has the potential to greatly inform clinical decision-making in the context of stroke rehabilitation by offering unique insight beyond current behavioral-based measures. The candidate will assess sensorimotor network connectivity in patients with subacute stroke residing in an inpatient rehabilitation facility using advanced rsfMRI and EEG brain mapping techniques to determine if these functional measures predict motor recovery and, if so, how well these measurements predict motor recovery in comparison to behavioral and structural injury measures (Aim 1). The candidate will generate an ideal predictive model of motor recovery and move this model forward to Aim 2 (R00 phase) where it will be validated in a larger, independent sample, applied to a longer recovery timeframe, and examined in the presence of several key clinical covariates. The proposed training and projects under this award will propel the candidate to independence and facilitate a precision medicine approach to rehabilitation.

在本独立奖励途径中提出的研究和培训计划将加速 候选人向独立研究科学家和统治轨道教师的过渡 机构。该奖项将支持候选人对大脑功能神经影像措施的调查 住院中风康复中的网络连通性。候选人将获得高级休息的培训 - 状态功能磁共振成像（RSFMRI）和脑电图（EEG）分析和临床 研究方法。培训计划涉及自定义指导，信号分析中的课程和 统计数据，实践实验室经验以及针对授予的职业职业发展活动 写作和赠款，公开演讲以及过渡到学术界。该奖项将补充 候选人在物理治疗和先前中风康复研究方面的临床背景。 该奖项的K99阶段将在史蒂文·C（Steven C. 马里兰州克莱默（Cramer），中风康复的特殊神经科医生和领导者，以及拉梅什（Ramesh）的同学 Srinivasan，PhD，脑EEG神经生理学和数据分析的著名专家。大学 加利福尼亚州，欧文（Irvine）将为候选人提供出色的研究环境和各种各样的 资源和机会实现她的科学和专业目标。特别是大学的 临床与转化科学与医学中心研究所将在候选人的角色中担任关键角色 基于医院的研究项目。联合官员亚历克斯·卡特（Alex Carter），医学博士（华盛顿大学）和卡罗利（Carolee） 温斯坦博士，PT，FAPTA（南加州大学）将加强候选人的独立性 RSFMRI和临床研究方法论。 神经影像有可能在中风康复的背景下极大地为临床决策提供信息 通过提供超出当前基于行为的措施的独特见解。候选人将评估感觉运动 使用亚急性中风患者的网络连通性使用在住院康复设施中 先进的RSFMRI和EEG脑图技术来确定这些功能措施是否预测电动机 恢复，如果是这样，这些测量值与行为和行为和 结构性伤害措施（AIM 1）。候选人将生成一个理想的电机回收预测模型， 将此模型转向AIM 2（R00阶段），在该AIM 2（R00阶段）将在较大，独立的样本中进行验证， 应用于更长的恢复时间框架，并在存在几个关键临床协变量的情况下检查。这 拟议的培训和该奖项的项目将推动候选人独立并促进 精密医学方法的康复方法。