Enhancing ERD Activation and Functional Connectivity via the Sixth-Finger Motor Imagery in Stroke Patients

IF 4.8 2区 医学 Q2 ENGINEERING, BIOMEDICAL IEEE Transactions on Neural Systems and Rehabilitation Engineering Pub Date : 2024-10-25 DOI:10.1109/TNSRE.2024.3486551
Zhuang Wang;Yuan Liu;Shuaifei Huang;Huimin Huang;Wenlai Wu;Yuyang Wang;Xingwei An;Dong Ming
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Abstract

Motor imagery (MI) is widely employed in stroke rehabilitation due to the event-related desynchronization (ERD) phenomenon in sensorimotor cortex induced by MI is similar to actual movement. However, the traditional BCI paradigm, in which the patient imagines the movement of affected hand (AH-MI) with a weak ERD caused by the damaged brain regions, retards motor relearning process. In this work, we applied a novel MI paradigm based on the “sixth-finger” (SF-MI) in stroke patients and systematically uncovered the ERD pattern enhancement of novel MI paradigm compared to traditional MI paradigm. Twenty stroke patients were recruited for this experiment. Event-related spectral perturbation was adopted to supply details about ERD. Brain activation region, intensity and functional connectivity were compared between SF-MI and AH-MI to reveal the ERD enhancement performance of novel MI paradigm. A “wider range, stronger intensity, greater connection” ERD activation pattern was induced in stroke patients by novel SF-MI paradigm compared to traditional AH-MI paradigm. The bilateral sensorimotor and prefrontal modulation was found in SF-MI, which was different in AH-MI only weak sensorimotor modulation was exhibited. The ERD enhancement is mainly concentrated in mu rhythm. More synchronized and intimate neural activity between different brain regions was found during SF-MI tasks compared to AH-MI tasks. Classification results (>80% in SF-MI vs. REST) also indicated the feasibility of applying novel MI paradigm to clinical stroke rehabilitation. This work provides a novel MI paradigm and demonstrates its neural activation-enhancing performance, helping to develop more effective MI-based BCI system for stroke rehabilitation.
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通过六指运动想象增强脑卒中患者的ERD激活和功能连通性
运动想象(MI)在脑卒中康复中被广泛应用,这是因为运动想象在感觉运动皮层引起的事件相关不同步(ERD)现象与实际运动相似。然而,在传统的 BCI 范式中,患者在想象患手运动(AH-MI)时,由于受损脑区引起的 ERD 很弱,因此会延缓运动再学习过程。在这项研究中,我们在脑卒中患者中应用了基于 "第六指 "的新型人工智能范式(SF-MI),系统地揭示了与传统人工智能范式相比,新型人工智能范式的ERD模式增强效果。本实验招募了 20 名脑卒中患者。采用事件相关频谱扰动来提供ERD的细节。比较了SF-MI和AH-MI的大脑激活区域、强度和功能连接,以揭示新型MI范式的ERD增强性能。与传统的AH-MI范式相比,新型SF-MI范式在脑卒中患者中诱发了 "范围更广、强度更大、连接更强 "的ERD激活模式。SF-MI发现了双侧感觉运动和前额叶调节,而AH-MI仅表现出微弱的感觉运动调节。ERD的增强主要集中在μ节律。与 AH-MI 任务相比,SF-MI 任务中不同脑区之间的神经活动更加同步和密切。分类结果(SF-MI 与 REST 相比大于 80%)也表明了将新型 MI 范式应用于临床脑卒中康复的可行性。这项研究提供了一种新的MI范式,并证明了其神经激活增强性能,有助于开发更有效的基于MI的脑卒中康复BCI系统。
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来源期刊
CiteScore
8.60
自引率
8.20%
发文量
479
审稿时长
6-12 weeks
期刊介绍: Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.
期刊最新文献
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