无创脊柱刺激改善慢性中风幸存者的行走能力:概念验证病例系列。

IF 2.9 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Yaejin Moon, Chen Yang, Nicole C Veit, Kelly A McKenzie, Jay Kim, Shreya Aalla, Lindsey Yingling, Kristine Buchler, Jasmine Hunt, Sophia Jenz, Sung Yul Shin, Ameen Kishta, V Reggie Edgerton, Yury P Gerasimenko, Elliot J Roth, Richard L Lieber, Arun Jayaraman
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引用次数: 0

摘要

背景:中风后,恢复安全、独立和高效的行走是康复治疗的重中之重。然而,在近 70% 的中风幸存者中,不对称的行走模式和行走速度降低的情况依然存在。本病例系列研究旨在探讨经皮脊髓刺激(tSCS)对提高慢性中风患者行走能力的有效性:方法:共招募了八名单次慢性中风后偏瘫的患者。每位参与者被分配到刺激组(N = 4,步态训练 + tSCS)或对照组(N = 4,单独步态训练)。根据年龄、中风后时间和自选步速,刺激组的每位参与者与对照组的一位参与者配对。对于刺激组,在步态训练期间通过放置在 C5-C6、T11-T12 和 L1-L2 棘突之间皮肤上的电极进行 tSCS 治疗。两组患者均在 8 周内接受了 24 次步态训练,由理疗师提供口头提示,以改善步态对称性。在没有进行 tSCS 的情况下,分别在基线、完成和 3 个月随访时收集步态速度(通过 10 米步行测试测量)、耐力(通过 6 分钟步行测试测量)、时空步态对称性(步长和摆动时间)以及神经生理学结果(肌肉协同作用、通过脊髓运动诱发反应的静息运动阈值):与对照组(步长:1.1%,摆动时间:3.6%)相比,所有四名刺激组参与者在 3 个月的随访中均保持了时空对称性的改善(步长:17.7%,摆动时间:10.1%)。此外,与对照组相比,4 名刺激参与者中有 3 人的肌肉协同次数增加和/或静息运动阈值降低:本研究提供了很有希望的初步证据,证明使用 tSCS 作为步态训练的治疗催化剂可提高慢性中风患者的步态康复效果。试验注册 NCT03714282(clinicaltrials.gov),注册日期:2018-10-18。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noninvasive spinal stimulation improves walking in chronic stroke survivors: a proof-of-concept case series.

Background: After stroke, restoring safe, independent, and efficient walking is a top rehabilitation priority. However, in nearly 70% of stroke survivors asymmetrical walking patterns and reduced walking speed persist. This case series study aims to investigate the effectiveness of transcutaneous spinal cord stimulation (tSCS) in enhancing walking ability of persons with chronic stroke.

Methods: Eight participants with hemiparesis after a single, chronic stroke were enrolled. Each participant was assigned to either the Stim group (N = 4, gait training + tSCS) or Control group (N = 4, gait training alone). Each participant in the Stim group was matched to a participant in the Control group based on age, time since stroke, and self-selected gait speed. For the Stim group, tSCS was delivered during gait training via electrodes placed on the skin between the spinous processes of C5-C6, T11-T12, and L1-L2. Both groups received 24 sessions of gait training over 8 weeks with a physical therapist providing verbal cueing for improved gait symmetry. Gait speed (measured from 10 m walk test), endurance (measured from 6 min walk test), spatiotemporal gait symmetries (step length and swing time), as well as the neurophysiological outcomes (muscle synergy, resting motor thresholds via spinal motor evoked responses) were collected without tSCS at baseline, completion, and 3 month follow-up.

Results: All four Stim participants sustained spatiotemporal symmetry improvements at the 3 month follow-up (step length: 17.7%, swing time: 10.1%) compared to the Control group (step length: 1.1%, swing time 3.6%). Additionally, 3 of 4 Stim participants showed increased number of muscle synergies and/or lowered resting motor thresholds compared to the Control group.

Conclusions: This study provides promising preliminary evidence that using tSCS as a therapeutic catalyst to gait training may increase the efficacy of gait rehabilitation in individuals with chronic stroke. Trial registration NCT03714282 (clinicaltrials.gov), registration date: 2018-10-18.

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来源期刊
BioMedical Engineering OnLine
BioMedical Engineering OnLine 工程技术-工程:生物医学
CiteScore
6.70
自引率
2.60%
发文量
79
审稿时长
1 months
期刊介绍: BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering. BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to: Bioinformatics- Bioinstrumentation- Biomechanics- Biomedical Devices & Instrumentation- Biomedical Signal Processing- Healthcare Information Systems- Human Dynamics- Neural Engineering- Rehabilitation Engineering- Biomaterials- Biomedical Imaging & Image Processing- BioMEMS and On-Chip Devices- Bio-Micro/Nano Technologies- Biomolecular Engineering- Biosensors- Cardiovascular Systems Engineering- Cellular Engineering- Clinical Engineering- Computational Biology- Drug Delivery Technologies- Modeling Methodologies- Nanomaterials and Nanotechnology in Biomedicine- Respiratory Systems Engineering- Robotics in Medicine- Systems and Synthetic Biology- Systems Biology- Telemedicine/Smartphone Applications in Medicine- Therapeutic Systems, Devices and Technologies- Tissue Engineering
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