The Impact of Cognitive Impairment on Robot-Based Upper-Limb Motor Assessment in Chronic Stroke.

IF 3.7 2区 医学 Q1 CLINICAL NEUROLOGY Neurorehabilitation and Neural Repair Pub Date : 2022-09-01 DOI:10.1177/15459683221110892
Kevin D Bui, Breanna Lyn, Matthew Roland, Carol A Wamsley, Rochelle Mendonca, Michelle J Johnson
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Abstract

Background: Chronic upper extremity motor deficits are present in up to 65% of stroke survivors, and cognitive impairment is prevalent in 46-61% of stroke survivors even 10 years after their stroke. Robot-assisted therapy programs tend to focus on motor recovery and do not include stroke patients with cognitive impairment.

Objective: This study aims to investigate performance on the individual cognitive domains evaluated in the MoCA and their relation to upper-limb motor performance on a robotic system.

Methods: Participants were recruited from the stroke population with a wide range of cognitive and motor levels to complete a trajectory tracking task using the Haptic TheraDrive rehabilitation robot system. Motor performance was evaluated against standard clinical cognitive and motor assessments. Our hypothesis is that the cognitive domains involved in the visuomotor tracking task are significant predictors of performance on the robot-based task and that impairment in these domains results in worse motor performance on the task compared to subjects with no cognitive impairment.

Results: Our results support the hypothesis that visuospatial and executive function have a significant impact on motor performance, with differences emerging between different functional groups on the various robot-based metrics. We also show that the kinematic metrics from this task differentiate cognitive-motor functional groups differently.

Conclusion: This study demonstrates that performance on a motor-based robotic assessment task also involves a significant visuospatial and executive function component and highlights the need to account for cognitive impairment in the assessment of motor performance.

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认知障碍对基于机器人的慢性脑卒中上肢运动评估的影响。
背景:高达65%的中风幸存者存在慢性上肢运动障碍,46-61%的中风幸存者在中风10年后仍普遍存在认知障碍。机器人辅助治疗项目往往侧重于运动恢复,不包括有认知障碍的中风患者。目的:本研究旨在探讨机器人系统中MoCA评估的个体认知领域的表现及其与上肢运动表现的关系。方法:从认知和运动水平不同的中风患者中招募参与者,使用Haptic TheraDrive康复机器人系统完成轨迹跟踪任务。运动表现根据标准的临床认知和运动评估进行评估。我们的假设是,参与视觉运动跟踪任务的认知领域是机器人任务表现的重要预测因素,与没有认知障碍的受试者相比,这些领域的损伤导致任务中的运动表现更差。结果:我们的研究结果支持了视觉空间和执行功能对运动表现有显著影响的假设,不同功能组之间在各种基于机器人的指标上出现了差异。我们还表明,从这个任务的运动学指标区分不同的认知运动功能组。结论:本研究表明,在基于运动的机器人评估任务中的表现也涉及到重要的视觉空间和执行功能成分,并强调了在评估运动表现时考虑认知障碍的必要性。
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来源期刊
CiteScore
8.30
自引率
4.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Neurorehabilitation & Neural Repair (NNR) offers innovative and reliable reports relevant to functional recovery from neural injury and long term neurologic care. The journal''s unique focus is evidence-based basic and clinical practice and research. NNR deals with the management and fundamental mechanisms of functional recovery from conditions such as stroke, multiple sclerosis, Alzheimer''s disease, brain and spinal cord injuries, and peripheral nerve injuries.
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