Brain Network Connectivity Measures in Early Stroke Rehabilitation

独立之路奖中提出的研究和培训计划将加速 候选人的过渡到独立的研究科学家和终身教职的教师在一个主要的研究 机构。该奖项将支持候选人对大脑功能神经影像测量的研究 网络连接在住院中风康复。候选人将接受高级休息训练- 状态功能磁共振成像（rsfMRI）和脑电图（EEG）分析与临床 研究方法培训计划包括定制的辅导，信号分析课程， 统计数据、实验室实践经验和专业职业发展活动 写作和演讲，公开演讲，以及向学术界的过渡。该奖项将补充 候选人在物理治疗和中风康复研究之前的临床背景。 该奖项的K99阶段将在加州大学欧文分校进行，由Steven C. 克莱默，医学博士，一个特殊的神经学家和领导人在中风康复，并共同指导拉梅什 Srinivasan博士是EEG神经生理学和数据分析方面的著名专家。大学 加州尔湾将为候选人提供一个良好的研究环境和各种各样的 资源和机会来实现她的科学和专业目标。具体来说，大学的 临床与转化科学研究所和医学中心将在候选人的 医院的研究项目。共同导师亚历克斯·卡特，医学博士，博士（华盛顿大学）和卡罗琳 温斯坦，博士，PT，FAPTA（南加州大学）将加强候选人的独立性， rsfMRI和临床研究方法学。 神经影像学有潜力大大告知临床决策的背景下，中风康复 通过提供超越当前基于行为的措施的独特见解。候选人将评估感觉运动 住院康复机构中亚急性卒中患者的网络连接， 先进的rsfMRI和EEG脑映射技术，以确定这些功能措施是否预测运动 恢复，如果是的话，这些测量与行为和运动恢复相比， 结构损伤措施（目标1）。候选人将生成运动恢复的理想预测模型， 将该模型推进到目标2（R 00阶段），在该阶段将在更大的独立样本中进行验证， 应用于较长的恢复期，并在存在几个关键临床协变量的情况下进行检查。的 该奖项下的拟议培训和项目将推动候选人独立，并促进 精准医疗的康复方法。

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.