Evaluation of brain recovery of stroke patients using a novel magnetic resonance compatible hand induced robotic device combined with magnetic resonance imaging
使用新型磁共振兼容手诱导机器人装置结合磁共振成像评估中风患者的脑恢复
基本信息
- 批准号:10408129
- 负责人:
- 金额:$ 67.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAmericanAnimal ExperimentsAreaAttentionBehavioralBiological MarkersBrainBrain MappingCaringCause of DeathClinicalClinical assessmentsComputersControl GroupsDataDeductiblesDevicesDiffusion Magnetic Resonance ImagingElderlyEvaluationFeedbackFiberFunctional Magnetic Resonance ImagingHandHealthcareHomeImageIndividualInsuranceIschemic StrokeKnowledgeLifeLongitudinal StudiesMagnetic ResonanceMagnetic Resonance ImagingMeasurementMeasuresMedicareMeta-AnalysisModelingModernizationMonitorMorbidity - disease rateMotorMotor CortexMotor SkillsMovementOutcomeParticipantPathologicPatient SelectionPatientsPerceptionPerformancePhasePhysical therapyPrognosisProtocols documentationQuality of lifeRandomizedRecoveryReportingResearchResolutionRoboticsRoleSelf-Help DevicesSocietiesStrokeStructureSupervisionTestingThickTimeTrainingTreatment EfficacyVariantVisualizationWorkarmbasebrain magnetic resonance imagingchronic strokecostdensitydesigndisabilityeffective interventionexpectationexperienceexperimental groupheterogenous datahuman old age (65+)improvedin vivoindexingindividualized medicineinter-individual variationischemic lesionlight weightmagnetic resonance imaging biomarkermiddle cerebral arterymotor deficitmotor recoveryneuroimagingnovelnovel markerpatient populationpersonalized medicinephysical therapistportabilitypost strokepredict clinical outcomerelating to nervous systemrestorationrobot therapyrobotic devicestroke eventstroke outcomestroke patientstroke recoverystroke survivorstroke victimssuccesstractographytreatment planningwhite matter
项目摘要
The broad, long-term objective of this study is to improve therapy efficacy for, and thus the
quality of life (QoL) of, stroke patients. An increasing number of individuals suffer from
stroke. Disabilities resulting from stroke were considered irreversible until very recently.
Stroke recovery is an emerging field, still overcoming the longstanding view of functions lost to
stroke being non-recoverable.
We hypothesize that (a) robotic devices that stimulate brain recovery via motor
training can support restoration of movement abilities compromised by stroke-induced
pathological changes in the brain; and that (b) post-stroke neural changes can be
monitored (and therefore later predicted) by in vivo state-of-the-art magnetic resonance
imaging (MRI) via brain recovery biomarkers and behavioral motor performance improvements.
To test this hypothesis, we propose to conduct a longitudinal study of our novel hand device in
conjunction with 3-T brain MRI to monitor recovery in patients with chronic stroke via three Aims.
Aim (1) is to perform state-of-the-art MRI with newly-developed phased-array coils and parallel
imaging (to maximize sensitivity and resolution) to document quantifiable brain changes during
training in 100 chronic stroke patients with confirmed middle cerebral artery (MCA)
territory ischemic stroke and ischemic lesions affecting the motor strip. Patients will be assigned
randomly to a training group and non-training control group. Participants will train for 30 min/d,
3 d/wk, to be conducted at home to facilitate participation. Volumetric MRI, functional MRI
(fMRI), and diffusion tensor imaging (DTI) will be performed before the start of
treatment (baseline) and then monthly over a 3-month training period. MRI measurements
will focus on the motor cortex and its surrounding cortical areas and connecting tracts. Aim (2)
is to evaluate motor performance in these chronic stroke patients with standard clinical
indices and hand device measurements. Aim (3) is to demonstrate that brain mapping
based on state-of-the art MRI in conjunction with hand device-assisted therapy can
provide novel biomarkers for chronic stroke recovery while improving clinical outcome. We will
perform a meta-analysis of structural, fMRI, DTI, and motor performance data using a
general linear mixed-model (GLMM) approach, which handles heterogeneous data and
facilitates deduction of useful results despite inter-individual variability.
Impact: Success will facilitate selection of patients and personalized treatment planning
optimized to yield improvements based on MRI metrics. Specifically, this study may
identify biomarkers of brain recovery that can be monitored during therapy, inform therapy
adjustments, and advance our ability to predict stroke recovery outcome. For chronic stroke
patients, we anticipate demonstrating that recovery is possible for a longer period of time than
previously thought, including motor skill improvements beyond 6 mos. after a stroke
event, owing to the capacity for brain plasticity and functionally adaptive
reorganization. If this research indicates continued improvement with physical therapy,
then the limitations of Medicare and other insurances should be extended to assist in longer-term
recovery of stroke victims, thus improving their QoL, especially in the geriatric patient
population, where stroke is most prevalent.
这项研究的广泛的长期目标是提高治疗效果,
脑卒中患者的生活质量。越来越多的人患有
中风直到最近,中风导致的残疾才被认为是不可逆的。
中风恢复是一个新兴领域,仍然克服了长期以来的观点,即功能丧失,
中风是不可恢复的。
我们假设(a)通过运动刺激大脑恢复的机器人设备
训练可以支持恢复由中风引起的运动能力受损,
(B)中风后的神经变化,
通过体内最先进的磁共振监测(因此随后预测)
通过脑恢复生物标志物和行为运动表现改善进行MRI检查。
为了验证这一假设,我们建议对我们的新型手装置进行纵向研究,
结合3-T脑MRI,通过三个目标监测慢性卒中患者的恢复情况。
目的(1)是利用新开发的相控阵线圈和并行
成像(以最大限度地提高灵敏度和分辨率),以记录可量化的大脑变化,
100例确诊为大脑中动脉(MCA)的慢性卒中患者的训练
局部缺血性卒中和影响运动神经条的缺血性病变。患者将分配
随机分为训练组和非训练对照组。参加者每天训练30分钟,
每周3天,在家中进行,以促进参与。容积MRI、功能MRI
(fMRI)和弥散张量成像(DTI)将在开始前进行。
治疗(基线),然后在3个月的训练期内每月一次。MRI测量
将集中在运动皮层及其周围的皮层区域和连接束。第1102章目的(二)
是用标准的临床试验评估这些慢性中风患者的运动表现,
指数和手持设备测量。目的(3)是证明大脑映射
基于最先进的MRI结合手部设备辅助治疗,
为慢性中风恢复提供新的生物标志物,同时改善临床结果。我们将
进行荟萃分析的结构,功能磁共振成像,弥散张量成像,和运动性能数据使用
通用线性混合模型(GLMM)方法,该方法处理异构数据,
尽管个体间存在差异,但有助于推导出有用的结果。
影响:成功将有助于选择患者和个性化治疗计划
优化以基于MRI指标产生改进。具体而言,这项研究可能
识别可以在治疗期间监测的脑恢复生物标志物,为治疗提供信息
调整,并提高我们预测中风恢复结果的能力。对于慢性中风
患者,我们预计证明,恢复是可能的一个更长的时间比
以前认为,包括运动技能改善超过6个月。中风后
事件,由于大脑可塑性和功能适应能力
重组。如果这项研究表明通过物理治疗可以持续改善,
那么医疗保险和其他保险的限制应该扩大到帮助长期的
中风患者康复,从而改善他们的生活质量,尤其是老年患者
人口,其中中风最普遍。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
A ARIA TZIKA其他文献
A ARIA TZIKA的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('A ARIA TZIKA', 18)}}的其他基金
Evaluation of brain recovery of stroke patients using a novel magnetic resonance compatible hand induced robotic device combined with magnetic resonance imaging
使用新型磁共振兼容手诱导机器人装置结合磁共振成像评估中风患者的脑恢复
- 批准号:
10161871 - 财政年份:2018
- 资助金额:
$ 67.19万 - 项目类别:
Evaluation of brain recovery of stroke patients using a novel magnetic resonance compatible hand induced robotic device combined with magnetic resonance imaging
使用新型磁共振兼容手诱导机器人装置结合磁共振成像评估中风患者的脑恢复
- 批准号:
9752683 - 财政年份:2018
- 资助金额:
$ 67.19万 - 项目类别:
Feasibility of Rehabilitation Robots and fMRI in Stroke
康复机器人和功能磁共振成像在中风中的可行性
- 批准号:
7140488 - 财政年份:2005
- 资助金额:
$ 67.19万 - 项目类别:
Feasibility of Rehabilitation Robots and fMRI in Stroke
康复机器人和功能磁共振成像在中风中的可行性
- 批准号:
6970070 - 财政年份:2005
- 资助金额:
$ 67.19万 - 项目类别:
相似海外基金
RII Track-4:NSF: From the Ground Up to the Air Above Coastal Dunes: How Groundwater and Evaporation Affect the Mechanism of Wind Erosion
RII Track-4:NSF:从地面到沿海沙丘上方的空气:地下水和蒸发如何影响风蚀机制
- 批准号:
2327346 - 财政年份:2024
- 资助金额:
$ 67.19万 - 项目类别:
Standard Grant
BRC-BIO: Establishing Astrangia poculata as a study system to understand how multi-partner symbiotic interactions affect pathogen response in cnidarians
BRC-BIO:建立 Astrangia poculata 作为研究系统,以了解多伙伴共生相互作用如何影响刺胞动物的病原体反应
- 批准号:
2312555 - 财政年份:2024
- 资助金额:
$ 67.19万 - 项目类别:
Standard Grant
How Does Particle Material Properties Insoluble and Partially Soluble Affect Sensory Perception Of Fat based Products
不溶性和部分可溶的颗粒材料特性如何影响脂肪基产品的感官知觉
- 批准号:
BB/Z514391/1 - 财政年份:2024
- 资助金额:
$ 67.19万 - 项目类别:
Training Grant
Graduating in Austerity: Do Welfare Cuts Affect the Career Path of University Students?
紧缩毕业:福利削减会影响大学生的职业道路吗?
- 批准号:
ES/Z502595/1 - 财政年份:2024
- 资助金额:
$ 67.19万 - 项目类别:
Fellowship
感性個人差指標 Affect-X の構築とビスポークAIサービスの基盤確立
建立个人敏感度指数 Affect-X 并为定制人工智能服务奠定基础
- 批准号:
23K24936 - 财政年份:2024
- 资助金额:
$ 67.19万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Insecure lives and the policy disconnect: How multiple insecurities affect Levelling Up and what joined-up policy can do to help
不安全的生活和政策脱节:多种不安全因素如何影响升级以及联合政策可以提供哪些帮助
- 批准号:
ES/Z000149/1 - 财政年份:2024
- 资助金额:
$ 67.19万 - 项目类别:
Research Grant
How does metal binding affect the function of proteins targeted by a devastating pathogen of cereal crops?
金属结合如何影响谷类作物毁灭性病原体靶向的蛋白质的功能?
- 批准号:
2901648 - 财政年份:2024
- 资助金额:
$ 67.19万 - 项目类别:
Studentship
ERI: Developing a Trust-supporting Design Framework with Affect for Human-AI Collaboration
ERI:开发一个支持信任的设计框架,影响人类与人工智能的协作
- 批准号:
2301846 - 财政年份:2023
- 资助金额:
$ 67.19万 - 项目类别:
Standard Grant
Investigating how double-negative T cells affect anti-leukemic and GvHD-inducing activities of conventional T cells
研究双阴性 T 细胞如何影响传统 T 细胞的抗白血病和 GvHD 诱导活性
- 批准号:
488039 - 财政年份:2023
- 资助金额:
$ 67.19万 - 项目类别:
Operating Grants
How motor impairments due to neurodegenerative diseases affect masticatory movements
神经退行性疾病引起的运动障碍如何影响咀嚼运动
- 批准号:
23K16076 - 财政年份:2023
- 资助金额:
$ 67.19万 - 项目类别:
Grant-in-Aid for Early-Career Scientists