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.

该独立之路奖中提出的研究和培训计划将加速 候选人过渡为独立研究科学家和初级研究的终身教授 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 住院中风康复中的网络连接。候选人将接受高级休息培训 状态功能磁共振成像 (rsfMRI) 和脑电图 (EEG) 分析和临床 研究方法。培训计划包括定制指导、信号分析课程以及 统计数据、实验室实践经验以及针对赠款的专业职业发展活动 写作和资助、公开演讲以及向学术界的过渡。该奖项将补充 候选人的物理治疗和先前中风康复研究的临床背景。 该奖项的 K99 阶段将在加州大学欧文分校进行，由 Steven C. Cramer 医学博士，一位杰出的神经学家和中风康复领域的领导者，也是 Ramesh 的共同导师 Srinivasan 博士，脑电图神经生理学和数据分析领域的著名专家。大学 加州尔湾将为候选人提供优良的研究环境和各种 实现她的科学和职业目标的资源和机会。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研究中发挥关键作用 以医院为基础的研究项目。共同导师 Alex Carter，医学博士、博士（华盛顿大学）和 Carolee Winstein，博士，PT，FAPTA（南加州大学）将加强候选人的独立性 分别是 rsfMRI 和临床研究方法。 神经影像学有潜力为中风康复的临床决策提供重要信息 通过提供超越当前基于行为的衡量标准的独特见解。候选人将评估感觉运动 居住在住院康复机构的亚急性中风患者的网络连接使用 先进的 rsfMRI 和 EEG 脑图技术，以确定这些功能测量是否可以预测运动 恢复，如果是这样，与行为和行为恢复相比，这些测量值预测运动恢复的效果如何？ 结构性损伤措施（目标 1）。候选人将生成一个理想的运动恢复预测模型 将该模型推进到目标 2（R00 阶段），将在更大的独立样本中进行验证， 适用于较长的恢复时间，并在存在几个关键临床协变量的情况下进行检查。这 该奖项下拟议的培训和项目将推动候选人独立并促进 精准医学康复方法。