Feasibility and Validation of a Robotic-Based Multisensory Integration Assessment in Healthy Controls and a Stroke Patient.

Feasibility and Validation of a Robotic-Based Multisensory Integration Assessment in Healthy Controls and a Stroke Patient.
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基于机器人的多感官整合评估在健康对照和中风患者中的可行性和验证。

DOI:
10.1109/icorr58425.2023.10304735
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发表时间:
2023
期刊:
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
影响因子:
--
通讯作者:
Pirondini,Elvira
Pirondini,Elvira
中科院分区:
--
文献类型:
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作者:
Carranza,Erick;Bertoni,Tommaso;Mastria,Giulio;Boos,Amy;Bassolino,Michela;Serino,Andrea;Pirondini,Elvira

文献摘要

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在经历脑损伤后,中风患者通常会出现运动和感觉障碍,影响他们进行意志运动的能力。视觉本体感觉整合是自主运动的关键组成部分,允许准确的运动和对身体的所有权感。虽然最近的研究增加了我们对脑卒中患者视觉补偿和本体感觉缺陷之间平衡的理解,但研究多感觉整合的定量方法仍然缺乏。本研究旨在评估使用上肢机器人平台将3D视觉-本体感觉视差(VPD)任务调整为2D设置的可行性,用于中重度慢性卒中患者。为了评估2D任务的执行情况,一组未受损的健康参与者在3D和2D环境中执行VPD任务。我们使用计算贝叶斯模型来预测视觉-本体感觉整合的误差,并将模型的预测与实际行为数据进行比较。我们的研究结果表明,在2D和3D任务中观察到的行为趋势是相似的,该模型准确地预测了行为。然后,我们评估了评估严重运动和感觉缺陷患者中风后功能缺陷的可行性。最终,这项工作可能有助于提高我们对视觉-本体感觉整合的重要性的理解,并有助于开发更好的康复疗法来改善中风患者的感觉运动结果。
After experiencing brain damage, stroke patients commonly suffer from motor and sensory impairments that impact their ability to perform volitional movements. Visuo-proprioceptive integration is a critical component of voluntary movement, allowing for accurate movements and a sense of ownership over one's body. While recent studies have increased our understanding of the balance between visual compensation and proprioceptive deficits in stroke patients, quantitative methods for studying multisensory integration are still lacking. This study aimed to evaluate the feasibility of adapting a 3D visuo-proprioceptive disparity (VPD) task into a 2D setting using an upper-limb robotic platform for moderate to severe chronic stroke patients. To assess the implementation of the 2D task, a cohort of unimpaired healthy participants performed the VPD task in both a 3D and 2D environment. We used a computational Bayesian model to predict errors in visuo-proprioceptive integration and compared the model's predictions to real behavioral data. Our findings indicated that the behavioral trends observed in the 2D and 3D tasks were similar, and the model accurately predicted behavior. We then evaluated the feasibility of our task to assess post-stroke deficits in a patient with severe motor and sensory deficits. Ultimately, this work may help to improve our understanding of the significance of visuo-proprioceptive integration and aid in the development of better rehabilitation therapies for improving sensorimotor outcomes in stroke patients.