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通过协同人机接口促进脊髓损伤中休眠神经可塑性的神经康复:一项非随机对照试验方案

Neurorehabilitation Through Synergistic Man-Machine Interfaces Promoting Dormant Neuroplasticity in Spinal Cord Injury: Protocol for a Nonrandomized Controlled Trial.

作者信息

Athanasiou Alkinoos, Mitsopoulos Konstantinos, Praftsiotis Apostolos, Astaras Alexander, Antoniou Panagiotis, Pandria Niki, Petronikolou Vasileia, Kasimis Konstantinos, Lyssas George, Terzopoulos Nikos, Fiska Vasilki, Kartsidis Panagiotis, Savvidis Theodoros, Arvanitidis Athanasios, Chasapis Konstantinos, Moraitopoulos Alexandros, Nizamis Kostas, Kalfas Anestis, Iakovidis Paris, Apostolou Thomas, Magras Ioannis, Bamidis Panagiotis

机构信息

Medical Physics and Digital Innovation Lab, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Computer Science Department, Division of Science and Technology, American College of Thessaloniki, Thessaloniki, Greece.

出版信息

JMIR Res Protoc. 2022 Sep 13;11(9):e41152. doi: 10.2196/41152.

Abstract

BACKGROUND

Spinal cord injury (SCI) constitutes a major sociomedical problem, impacting approximately 0.32-0.64 million people each year worldwide; particularly, it impacts young individuals, causing long-term, often irreversible disability. While effective rehabilitation of patients with SCI remains a significant challenge, novel neural engineering technologies have emerged to target and promote dormant neuroplasticity in the central nervous system.

OBJECTIVE

This study aims to develop, pilot test, and optimize a platform based on multiple immersive man-machine interfaces offering rich feedback, including (1) visual motor imagery training under high-density electroencephalographic recording, (2) mountable robotic arms controlled with a wireless brain-computer interface (BCI), (3) a body-machine interface (BMI) consisting of wearable robotics jacket and gloves in combination with a serious game (SG) application, and (4) an augmented reality module. The platform will be used to validate a self-paced neurorehabilitation intervention and to study cortical activity in chronic complete and incomplete SCI at the cervical spine.

METHODS

A 3-phase pilot study (clinical trial) was designed to evaluate the NeuroSuitUp platform, including patients with chronic cervical SCI with complete and incomplete injury aged over 14 years and age-/sex-matched healthy participants. Outcome measures include BCI control and performance in the BMI-SG module, as well as improvement of functional independence, while also monitoring neuropsychological parameters such as kinesthetic imagery, motivation, self-esteem, depression and anxiety, mental effort, discomfort, and perception of robotics. Participant enrollment into the main clinical trial is estimated to begin in January 2023 and end by December 2023.

RESULTS

A preliminary analysis of collected data during pilot testing of BMI-SG by healthy participants showed that the platform was easy to use, caused no discomfort, and the robotics were perceived positively by the participants. Analysis of results from the main clinical trial will begin as recruitment progresses and findings from the complete analysis of results are expected in early 2024.

CONCLUSIONS

Chronic SCI is characterized by irreversible disability impacting functional independence. NeuroSuitUp could provide a valuable complementary platform for training in immersive rehabilitation methods to promote dormant neural plasticity.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05465486; https://clinicaltrials.gov/ct2/show/NCT05465486.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/41152.

摘要

背景

脊髓损伤(SCI)是一个重大的社会医学问题,全球每年约有32万至64万人受其影响;尤其是它对年轻人影响较大,会导致长期的、往往不可逆转的残疾。虽然脊髓损伤患者的有效康复仍然是一项重大挑战,但新的神经工程技术已经出现,旨在针对并促进中枢神经系统中休眠的神经可塑性。

目的

本研究旨在开发、进行初步测试并优化一个基于多种沉浸式人机界面的平台,该平台能提供丰富的反馈,包括:(1)在高密度脑电图记录下的视觉运动想象训练;(2)通过无线脑机接口(BCI)控制的可安装机械臂;(3)由可穿戴机器人夹克和手套与一款严肃游戏(SG)应用相结合组成的身体-机器接口(BMI);以及(4)一个增强现实模块。该平台将用于验证一种自主神经康复干预措施,并研究慢性完全性和不完全性颈髓损伤患者的皮质活动。

方法

设计了一项为期3个阶段的初步研究(临床试验)来评估NeuroSuitUp平台,纳入年龄超过14岁的慢性颈髓完全性和不完全性损伤的脊髓损伤患者以及年龄和性别匹配的健康参与者。结果指标包括BCI控制和BMI-SG模块中的表现,以及功能独立性的改善,同时还监测神经心理学参数,如动觉想象、动机、自尊、抑郁和焦虑、心理努力、不适以及对机器人的感知。预计主要临床试验的参与者招募将于2023年1月开始,并于2023年12月结束。

结果

对健康参与者在BMI-SG初步测试期间收集的数据进行的初步分析表明,该平台易于使用,不会引起不适,参与者对机器人的评价也较为积极。随着招募工作的推进,将开始对主要临床试验结果进行分析,预计在2024年初能得到完整的分析结果。

结论

慢性脊髓损伤的特点是不可逆转的残疾,影响功能独立性。NeuroSuitUp可为沉浸式康复方法训练提供一个有价值的补充平台,以促进休眠的神经可塑性。

试验注册

ClinicalTrials.gov NCT05465486;https://clinicaltrials.gov/ct2/show/NCT05465486。

国际注册报告识别码(IRRID):PRR1-10.2196/41152。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c778/9516361/2d0e7f47a918/resprot_v11i9e41152_fig1.jpg

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