Brain Network Connectivity Measures in Early Stroke Rehabilitation

这一独立之路奖中提出的研究和培训计划将加速 候选人在初级研究中转变为独立研究科学家和终身教职员工 机构。该奖项将支持候选人对大脑功能神经成像测量的研究 住院卒中康复中的网络连接。候选人将接受高级休息方面的培训- 状态功能磁共振成像(RsfMRI)和脑电分析与临床 研究方法。培训计划包括定制指导、信号分析课程和 统计数据、实验室实践经验和针对助学金的职业发展活动 写作和授勋，公开演讲，以及向学术界过渡。该奖项将是对 应聘者有物理治疗和既往中风康复研究的临床背景。 K99阶段的奖项将在加州大学欧文分校举行，由Steven C. 克雷默，医学博士，杰出的神经学家，中风康复领域的领导者，拉梅什的共同导师 斯里尼瓦桑博士说，他是一位著名的脑电神经生理学和数据分析专家。伊利诺伊大学 加州欧文将为应聘者提供良好的研究环境和各种 资源和机会，以实现她的科学和专业目标。具体地说，大学的 临床与转化科学研究所和医学中心将在候选人的 以医院为基础的研究项目。共同导师亚历克斯·卡特，医学博士，华盛顿大学博士和卡罗利 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。 神经成像有可能为中风康复方面的临床决策提供很大的信息。 通过提供超越当前基于行为的衡量标准的独特见解。应聘者将评估感觉运动能力。 居住在住院康复机构的亚急性卒中患者使用 先进的rsfMRI和EEG脑地形图技术来确定这些功能指标是否可以预测运动 恢复，如果是的话，这些测量与行为和行为相比，预测运动恢复的准确性如何 结构性损害措施(目标1)。候选人将产生一个理想的运动恢复预测模型和 将此模型向前移动到目标2(R00阶段)，在那里它将在一个更大的独立样本中进行验证， 适用于较长的恢复时间范围，并在存在几个关键临床协变量的情况下进行检查。这个 该奖项下拟议的培训和项目将推动候选人走向独立，并促进 康复的精准医学途径。

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.