Investigating cognitive-motor variability to predict driving performance in stroke survivors with MCI
研究认知运动变异性以预测 MCI 中风幸存者的驾驶表现
基本信息
- 批准号:10569035
- 负责人:
- 金额:$ 12.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-01-01 至 2025-12-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAffectAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAnkleAutomobile DrivingBehavioralBlood VesselsClinical DataClinical TrialsClinical Trials DesignCognitiveCognitive ScienceCognitive agingColoradoComplexComputersDataDementiaDevelopmentDiagnosisEarly DiagnosisElderlyElementsExecutive DysfunctionExerciseGoalsHealthImpaired cognitionImpairmentIndividualInternationalInterventionInvestigationKnowledgeLicensingLongevityMeasuresMentorsMethodologyModelingMotorMovementNervous System TraumaNeurologicNeurologistOutcomeParticipantPerformanceProcessPsychologistQuality of lifeResearchResearch PersonnelScienceStrokeSurvivorsSystemTechnologyTestingTrainingUniversitiesWorkage relatedaging populationbaby boomerbehavior measurementcareercognitive developmentcognitive performancecognitive processcognitive taskcognitive testingexperiencefunctional declinefunctional disabilityfunctional independenceimpaired driving performanceimprovedindexingindividual variationinnovationinterestmild cognitive impairmentmotor controlmotor impairmentneglectnervous system disorderneurophysiologynovelnovel strategiespost strokepre-clinicalpredictive markerprimary outcomeprocessing speedprofessorstatisticsstroke survivor
项目摘要
PROJECT SUMMARY/ABSTRACT
Dr. Neha Lodha is an Assistant Professor in the Department of Health and Exercise Science at Colorado State
University (CSU). Dr. Lodha's long-term career goal is to become an independent investigator advancing the
science of functional mobility to improve the quality of life in aging and age-related neurological disorders and
dementias. Up to this point, Dr. Lodha has acquired strong scientific background in neurophysiology and motor
control. To accomplish her career goal, a key additional element required is the training in cognitive sciences.
Understanding how cognitive and motor systems interact to enable independent mobility is important for
identifying the precise mechanisms and developing interventions to promote functional mobility. The short-term
training goals of the current K01 application are to train in 1) conducting cognitive assessments with specific
emphasis on the intra-individual variability (IIV) approach, 2) clinical trials design and analysis, 3) multivariate
statistics, 4) driving technology, and 5) transition to independence. To achieve these goals, Dr. Lodha has
assembled a mentoring team that consists of 1) an eminent gerontologist, Dr. Manfred Diehl (primary mentor)
with expertise in aging, IIV and cognitive development across the lifespan, 2) an experimental psychologist, Dr.
Karlene Ball (co-mentor) who is internationally renowned for her work in cognitive correlates of driving mobility
in aging and dementia, 3) a vascular neurologist, Dr. Sharon Poisson (advisor) with extensive experience in
clinical trials in stroke survivors, and 4) a renowned biostatistician, Dr. Haonan Wang (co-advisor) with
experience in statistical inference and modeling for clinical data. The proposed research plan focuses on
identifying the motor and cognitive impairments underlying driving deficits in older stroke survivors with mild
cognitive impairment as they are most likely to resume on-road driving after stroke. Conventionally, driving
impairments are shown to be independently influenced by mean-level performance in specific motor and
cognitive domains. However, this mean-level approach neglects the well-established fact that performance
becomes highly variable and unstable in older adults with neurological disorders, such as those at preclinical
stages of Alzheimer's disease and mild cognitive imapirment. The proposed research will apply the novel intra-
individual variability (IIV) approach to investigate driving mobility in older stroke survivors. The goal of the
research plan is to identify the impact of stroke on IIV in motor and cognitive performance (Aim 1); determine the
contribution of IIV measures to predict driving performance (Aim 2); and use IIV measures to predict change in
driving performance over a two-year period (Aim 3). The training plan will accelerate Dr. Lodha's career to pursue
a unique and independent line of research that combines cognitive and motor processes to promote the
functional mobility of older adults and is directly aligned with NIA's AD/ADRD goal to identify sensitive behavioral
measures for earliest manifestations of functional impairments in older adults.
项目概要/摘要
Neha Lodha 博士是科罗拉多州立大学健康与运动科学系助理教授
大学(科罗拉多州立大学)。 Lodha 博士的长期职业目标是成为一名独立研究者,推动
功能活动科学,以改善衰老和与年龄相关的神经系统疾病的生活质量,
痴呆症。到目前为止,Lodha 博士已在神经生理学和运动学方面获得了深厚的科学背景
控制。为了实现她的职业目标,所需的一个关键附加要素是认知科学培训。
了解认知和运动系统如何相互作用以实现独立移动对于
确定精确的机制并制定干预措施以促进功能流动。短期
当前 K01 应用程序的训练目标是训练 1) 进行特定的认知评估
强调个体内变异性 (IIV) 方法,2) 临床试验设计和分析,3) 多变量
统计数据,4)驱动技术,5)向独立过渡。为了实现这些目标,Lodha 博士
组建了一个指导团队,其中包括 1) 一位著名的老年学家 Manfred Diehl 博士(主要导师)
拥有衰老、IIV 和整个生命周期认知发展方面的专业知识,2) 一位实验心理学家,Dr.
Karlene Ball(联合导师)因其在驾驶移动性认知相关方面的研究而享誉国际
3) 血管神经学家 Sharon Poisson 博士(顾问)在衰老和痴呆方面拥有丰富的经验
中风幸存者的临床试验,以及 4) 著名生物统计学家王浩南博士(联合顾问)
具有临床数据统计推断和建模经验。拟议的研究计划侧重于
识别老年中风幸存者驾驶缺陷背后的运动和认知障碍
认知障碍,因为他们最有可能在中风后恢复道路驾驶。按照惯例,驾驶
损伤被证明独立地受到特定运动和运动的平均水平表现的影响
认知领域。然而,这种平均水平方法忽略了一个公认的事实,即绩效
患有神经系统疾病的老年人(例如临床前的老年人)变得高度可变且不稳定
阿尔茨海默病和轻度认知障碍的各个阶段。拟议的研究将应用新颖的内部
个体变异(IIV)方法用于调查老年中风幸存者的驾驶活动能力。的目标
研究计划是确定中风对 IIV 运动和认知表现的影响(目标 1);确定
IIV 措施对预测驾驶表现的贡献(目标 2);并使用 IIV 措施来预测变化
提高两年内的绩效(目标 3)。该培训计划将加速Lodha博士的职业生涯追求
独特且独立的研究路线,将认知和运动过程结合起来,以促进
老年人的功能活动能力,与 NIA 的 AD/ADRD 目标直接一致,以识别敏感行为
老年人功能障碍最早表现的措施。
项目成果
期刊论文数量(0)
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Neha Lodha其他文献
Neha Lodha的其他文献
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{{ truncateString('Neha Lodha', 18)}}的其他基金
Investigating cognitive-motor variability to predict driving performance in stroke survivors with MCI
研究认知运动变异性以预测 MCI 中风幸存者的驾驶表现
- 批准号:
10322169 - 财政年份:2021
- 资助金额:
$ 12.58万 - 项目类别:
Investigating cognitive-motor variability to predict driving performance in stroke survivors with MCI
研究认知运动变异性以预测 MCI 中风幸存者的驾驶表现
- 批准号:
10834650 - 财政年份:2021
- 资助金额:
$ 12.58万 - 项目类别:
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