Assessing Brain-Muscle Connectivity in Human Locomotion through Mobile Brain/Body Imaging: Opportunities, Pitfalls, and Future Directions.
Assessing Brain-Muscle Connectivity in Human Locomotion through Mobile Brain/Body Imaging: Opportunities, Pitfalls, and Future Directions.
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DOI：
10.3389/fpubh.2018.00039
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发表时间：
2018
影响因子：
5.2
通讯作者：
de Bruin ED
中科院分区：
文献类型：
--
作者：
Gennaro F;de Bruin ED
评估两足行走过程中皮质的作用一直是方法论上的挑战。虽然表面脑电图（EEG）能够无创地测量人类运动过程中的皮层活动，但它与掩盖大脑活动来源的运动伪影有关。最近，基于盲源分离的统计方法揭示了通过将非大脑/人工活动与大脑活动源分离来解决这个问题的潜力。这一步骤标志着研究大脑在移动时的作用的新机会，并被标记为移动大脑/身体成像（MoBI）。该方法涉及通过无线记录可穿戴设备/传感器同时移动记录大脑活动和其他几个身体行为变量（例如肌肉活动和运动学）。值得注意的是，最近使用脑电图-肌电图方法进行的几项 MoBI 研究表明，大脑在功能上与肌肉相连，并且在整个步态周期中都处于活跃状态，因此拒绝了单纯由脊柱驱动的两足行走的长期观点。然而，人类运动过程中的 MoBI 和大脑/肌肉连接评估仍处于刚刚起步的研究阶段。移动大脑/身体成像方法暗示着有希望的机会；然而，在考虑其常规临床应用之前，还存在一些需要解决的缺陷。本文讨论了其中的几个陷阱，并提出了解决这些陷阱的研究。示例涉及该方法在生态有效场景和不同人群中的有效性、可靠性和再现性。此外，MoBI 框架内的大脑/肌肉连接是否代表步态障碍明显的神经肌肉综合征（例如与年龄相关的肌肉减少症）的潜在生物标志物仍有待确定。
Assessment of the cortical role during bipedalism has been a methodological challenge. While surface electroencephalography (EEG) is capable of non-invasively measuring cortical activity during human locomotion, it is associated with movement artifacts obscuring cerebral sources of activity. Recently, statistical methods based on blind source separation revealed potential for resolving this issue, by segregating non-cerebral/artifactual from cerebral sources of activity. This step marked a new opportunity for the investigation of the brains’ role while moving and was tagged mobile brain/body imaging (MoBI). This methodology involves simultaneous mobile recording of brain activity with several other body behavioral variables (e.g., muscle activity and kinematics), through wireless recording wearable devices/sensors. Notably, several MoBI studies using EEG–EMG approaches recently showed that the brain is functionally connected to the muscles and active throughout the whole gait cycle and, thus, rejecting the long-lasting idea of a solely spinal-driven bipedalism. However, MoBI and brain/muscle connectivity assessments during human locomotion are still in their fledgling state of investigation. Mobile brain/body imaging approaches hint toward promising opportunities; however, there are some remaining pitfalls that need to be resolved before considering their routine clinical use. This article discusses several of these pitfalls and proposes research to address them. Examples relate to the validity, reliability, and reproducibility of this method in ecologically valid scenarios and in different populations. Furthermore, whether brain/muscle connectivity within the MoBI framework represents a potential biomarker in neuromuscular syndromes where gait disturbances are evident (e.g., age-related sarcopenia) remains to be determined.
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影响因子：
4.8
作者：
Eggenberger P;Wolf M;Schumann M;de Bruin ED
通讯作者：
de Bruin ED
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DOI：
10.1093/gerona/63.8.829
发表时间：
2008-08-01
影响因子：
5.1
作者：
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通讯作者：
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