下肢多运动状态下的大脑功能连接过程研究

IF 3.4 3区 综合性期刊 Q2 CHEMISTRY, ANALYTICAL Sensors Pub Date : 2024-10-31 DOI:10.3390/s24217016
Pengna Wei, Tong Chen, Jinhua Zhang, Jiandong Li, Jun Hong, Lin Zhang
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引用次数: 0

摘要

利用信号源定位结果进行的研究表明,在由脑机接口(BCI)控制的跑步机行走过程中,大脑皮层的参与程度有所增加。然而,BCI 控制下的跑步机行走过程中皮层功能连接的重组在很大程度上是未知的。为了研究这个问题,我们使用了一个公共数据集,即在使用脑机接口进行跑步机行走时记录的移动脑体成像数据集。分析了下肢连续自决运动时区域间和区域内的脑电图(EEG)耦合强度。计算耦合强度时使用了时频交叉互信息(TFCMI)方法。结果表明,在使用 BCI 步行时,额叶-枕叶连接在伽马和三角波段增加(边缘阈值大于 0.05),这可能与受试者调整步态以控制头像时的有效交流有关。在使用 BCI 控制行走时,结果显示左前额区出现了 Theta 振荡,这可能与错误处理和决策有关。我们还发现,与站立状态相比,在有 BCI 控制和无 BCI 控制的步行状态下,区域间连通性受到抑制。这些研究结果表明,使用BCI行走可以加速下肢中风的康复过程。
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Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs.

Studies using source localization results have shown that cortical involvement increased in treadmill walking with brain-computer interface (BCI) control. However, the reorganization of cortical functional connectivity in treadmill walking with BCI control is largely unknown. To investigate this, a public dataset, a mobile brain-body imaging dataset recorded during treadmill walking with a brain-computer interface, was used. The electroencephalography (EEG)-coupling strength of the between-region and within-region during the continuous self-determinant movements of lower limbs were analyzed. The time-frequency cross-mutual information (TFCMI) method was used to calculate the coupling strength. The results showed the frontal-occipital connection increased in the gamma and delta bands (the threshold of the edge was >0.05) during walking with BCI, which may be related to the effective communication when subjects adjust their gaits to control the avatar. In walking with BCI control, the results showed theta oscillation within the left-frontal, which may be related to error processing and decision making. We also found that between-region connectivity was suppressed in walking with and without BCI control compared with in standing states. These findings suggest that walking with BCI may accelerate the rehabilitation process for lower limb stroke.

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来源期刊
Sensors
Sensors 工程技术-电化学
CiteScore
7.30
自引率
12.80%
发文量
8430
审稿时长
1.7 months
期刊介绍: Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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