Lai Dongrong, Wan Zijun, Lin Jiafan, Pan Li, Ren Feixiao, Zhu Junming, Zhang Jianmin, Wang Yueming, Hao Yaoyao, Xu Kedi
Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China.
Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China.
Front Neurosci. 2023 Mar 1;17:1133928. doi: 10.3389/fnins.2023.1133928. eCollection 2023.
How the human brain coordinates bimanual movements is not well-established.
Here, we recorded neural signals from a paralyzed individual's left motor cortex during both unimanual and bimanual motor imagery tasks and quantified the representational interaction between arms by analyzing the tuning parameters of each neuron.
We found a similar proportion of neurons preferring each arm during unimanual movements, however, when switching to bimanual movements, the proportion of contralateral preference increased to 71.8%, indicating contralateral lateralization. We also observed a decorrelation process for each arm's representation across the unimanual and bimanual tasks. We further confined that these changes in bilateral relationships are mainly caused by the alteration of tuning parameters, such as the increased bilateral preferred direction (PD) shifts and the significant suppression in bilateral modulation depths (MDs), especially the ipsilateral side.
These results contribute to the knowledge of bimanual coordination and thus the design of cutting-edge bimanual brain-computer interfaces.
人类大脑如何协调双手运动尚未完全明确。
在此，我们在单手动和双手运动想象任务期间记录了一名瘫痪个体左运动皮层的神经信号，并通过分析每个神经元的调谐参数来量化双臂之间的表征相互作用。
我们发现在单手动运动期间，偏好每只手臂的神经元比例相似，然而，当切换到双手运动时，对侧偏好比例增加到71.8%，表明对侧偏侧化。我们还观察到在单手动和双手任务中，每只手臂表征的去相关过程。我们进一步确定，双边关系的这些变化主要是由调谐参数的改变引起的，例如双边偏好方向（PD）偏移增加以及双边调制深度（MD）显著抑制，尤其是同侧。
这些结果有助于我们了解双手协调，进而有助于前沿双手脑机接口的设计。
