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慢性卒中患者强化机器人辅助虚拟现实治疗和重复任务练习后的神经重组模式

Neural Patterns of Reorganization after Intensive Robot-Assisted Virtual Reality Therapy and Repetitive Task Practice in Patients with Chronic Stroke.

作者信息

Saleh Soha, Fluet Gerard, Qiu Qinyin, Merians Alma, Adamovich Sergei V, Tunik Eugene

机构信息

Human Performance and Engineering Research, Kessler Foundation, West Orange, NJ, United States.

Department of Rehabilitation and Movement Science, Rutgers University, Newark, NJ, United States.

出版信息

Front Neurol. 2017 Sep 4;8:452. doi: 10.3389/fneur.2017.00452. eCollection 2017.

Abstract

Several approaches to rehabilitation of the hand following a stroke have emerged over the last two decades. These treatments, including repetitive task practice (RTP), robotically assisted rehabilitation and virtual rehabilitation activities, produce improvements in hand function but have yet to reinstate function to pre-stroke levels-which likely depends on developing the therapies to impact cortical reorganization in a manner that favors or supports recovery. Understanding cortical reorganization that underlies the above interventions is therefore critical to inform how such therapies can be utilized and improved and is the focus of the current investigation. Specifically, we compare neural reorganization elicited in stroke patients participating in two interventions: a hybrid of robot-assisted virtual reality (RAVR) rehabilitation training and a program of RTP training. Ten chronic stroke subjects participated in eight 3-h sessions of RAVR therapy. Another group of nine stroke subjects participated in eight sessions of matched RTP therapy. Functional magnetic resonance imaging (fMRI) data were acquired during paretic hand movement, before and after training. We compared the difference between groups and sessions (before and after training) in terms of BOLD intensity, laterality index of activation in sensorimotor areas, and the effective connectivity between ipsilesional motor cortex (iMC), contralesional motor cortex, ipsilesional primary somatosensory cortex (iS1), ipsilesional ventral premotor area (iPMv), and ipsilesional supplementary motor area. Last, we analyzed the relationship between changes in fMRI data and functional improvement measured by the Jebsen Taylor Hand Function Test (JTHFT), in an attempt to identify how neurophysiological changes are related to motor improvement. Subjects in both groups demonstrated motor recovery after training, but fMRI data revealed RAVR-specific changes in neural reorganization patterns. First, BOLD signal in multiple regions of interest was reduced and re-lateralized to the ipsilesional side. Second, these changes correlated with improvement in JTHFT scores. Our findings suggest that RAVR training may lead to different neurophysiological changes when compared with traditional therapy. This effect may be attributed to the influence that augmented visual and haptic feedback during RAVR training exerts over higher-order somatosensory and visuomotor areas.

摘要

在过去二十年中,出现了几种中风后手康复的方法。这些治疗方法,包括重复性任务练习(RTP)、机器人辅助康复和虚拟康复活动,能改善手部功能,但尚未使功能恢复到中风前的水平,这可能取决于开发以有利于或支持恢复的方式影响皮质重组的疗法。因此,了解上述干预措施背后的皮质重组对于指导如何利用和改进此类疗法至关重要,也是当前研究的重点。具体而言,我们比较了参与两种干预措施的中风患者所引发的神经重组:机器人辅助虚拟现实(RAVR)康复训练与RTP训练计划的结合。十名慢性中风患者参加了八次为期3小时的RAVR治疗课程。另一组九名中风患者参加了八次匹配的RTP治疗课程。在训练前后,在患侧手运动期间采集功能磁共振成像(fMRI)数据。我们比较了两组和各疗程(训练前后)在血氧水平依赖(BOLD)强度、感觉运动区激活的偏侧指数以及患侧运动皮层(iMC)、对侧运动皮层、患侧初级体感皮层(iS1)、患侧腹侧运动前区(iPMv)和患侧辅助运动区之间的有效连接方面的差异。最后,我们分析了fMRI数据变化与杰布森·泰勒手功能测试(JTHFT)测量的功能改善之间的关系,试图确定神经生理变化与运动改善之间的关系。两组患者在训练后均表现出运动恢复,但fMRI数据显示RAVR在神经重组模式上有特定变化。首先,多个感兴趣区域的BOLD信号降低并重新偏向患侧。其次,这些变化与JTHFT评分的改善相关。我们的研究结果表明,与传统疗法相比,RAVR训练可能导致不同的神经生理变化。这种效应可能归因于RAVR训练期间增强的视觉和触觉反馈对高级体感和视觉运动区域的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6354/5591400/730a023e704e/fneur-08-00452-g001.jpg

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