It's how you get there: walking down a virtual alley activates premotor and parietal areas.
It's how you get there: walking down a virtual alley activates premotor and parietal areas.
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DOI：
10.3389/fnhum.2014.00093
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发表时间：
2014
影响因子：
2.9
通讯作者：
Müller-Putz G
中科院分区：
文献类型：
--
作者：
Wagner J;Solis-Escalante T;Scherer R;Neuper C;Müller-Putz G
自主驾驶对于运动学习至关重要，因此我们对运动规划在步态运动中所起的作用很感兴趣。在这项研究中，我们考察了交互式虚拟环境(VE)反馈任务对机器人辅助行走过程中脑电模式的影响。我们将VE通道中的行走与两种控制条件进行了比较：在视觉注意范式中，视觉刺激与运动任务无关；在镜像反馈中，参与者观察自己的运动。11名健康参与者被考虑在内。将独立成分分析应用到脑电中，发现在运动前和顶叶区域有三个独立的成分簇，与对照条件相比，适应性VE训练模式在行走过程中显示出更多的活动。在交互式VE行走任务中，8-12、15-20和23-40赫兹频率段的频谱功率显著降低(p≤0.05)。这种能量降低被解释为与活跃的皮质区域相关。此外，在步行过程中，运动前皮质的活动显示在23-40赫兹的频率范围内，与基线相比，步态周期相关的调制显着不同(p≤0.05)。与对照条件相比，交互VE步行任务中不同步态周期的调制显着减少(p≤0.05)。我们证明，与使用镜像和运动无关反馈的步行相比，在使用适应性VE训练范例的步行过程中，运动前区域和顶叶区域显示出更多的活动。以前的研究已经将运动前-顶叶网络与运动规划和运动意图联系起来。我们认为，与运动相关的交互反馈增强了运动规划和运动意图。我们推测，这可能会改善康复期间的步态恢复。
Voluntary drive is crucial for motor learning, therefore we are interested in the role that motor planning plays in gait movements. In this study we examined the impact of an interactive Virtual Environment (VE) feedback task on the EEG patterns during robot assisted walking. We compared walking in the VE modality to two control conditions: walking with a visual attention paradigm, in which visual stimuli were unrelated to the motor task; and walking with mirror feedback, in which participants observed their own movements. Eleven healthy participants were considered. Application of independent component analysis to the EEG revealed three independent component clusters in premotor and parietal areas showing increased activity during walking with the adaptive VE training paradigm compared to the control conditions. During the interactive VE walking task spectral power in frequency ranges 8–12, 15–20, and 23–40 Hz was significantly (p ≤ 0.05) decreased. This power decrease is interpreted as a correlate of an active cortical area. Furthermore activity in the premotor cortex revealed gait cycle related modulations significantly different (p ≤ 0.05) from baseline in the frequency range 23–40 Hz during walking. These modulations were significantly (p ≤ 0.05) reduced depending on gait cycle phases in the interactive VE walking task compared to the control conditions. We demonstrate that premotor and parietal areas show increased activity during walking with the adaptive VE training paradigm, when compared to walking with mirror- and movement unrelated feedback. Previous research has related a premotor-parietal network to motor planning and motor intention. We argue that movement related interactive feedback enhances motor planning and motor intention. We hypothesize that this might improve gait recovery during rehabilitation.
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DOI：
10.1111/j.1749-6632.1999.tb09192.x
发表时间：
1999-01-01
期刊：
OTOLITH FUNCTION IN SPATIAL ORIENTATION AND MOVEMENT
影响因子：
--
作者：
Andersen, RA;Shenoy, KV;Crowell, JA
通讯作者：
Crowell, JA
影响因子：
5.1
作者：
Bruetsch, Karin;Schuler, Tabea;Meyer-Heim, Andreas
通讯作者：
Meyer-Heim, Andreas
影响因子：
2
作者：
Connolly, JD;Andersen, RA;Goodale, MA
通讯作者：
Goodale, MA
影响因子：
56.9
作者：
Desmurget, Michel;Reilly, Karen T.;Sirigu, Angela
通讯作者：
Sirigu, Angela
影响因子：
3.4
作者：
Haefeli, Jenny;Voegeli, Stefanie;Dietz, Volker
通讯作者：
Dietz, Volker