Sakurada Takeshi, Ito Koji, Gomi Hiroaki
NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Wakamiya 3-1, Morinosato, Atsugi, Kanagawa, 243-0198, Japan.
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan.
Eur J Neurosci. 2016 Jan;43(1):120-30. doi: 10.1111/ejn.13123. Epub 2015 Dec 16.
Although strong motor coordination in intrinsic muscle coordinates has frequently been reported for bimanual movements, coordination in extrinsic visual coordinates is also crucial in various bimanual tasks. To explore the bimanual coordination mechanisms in terms of the frame of reference, here we characterized implicit bilateral interactions in visuomotor tasks. Visual perturbations (finger-cursor gain change) were applied while participants performed a rhythmic tracking task with both index fingers under an in-phase or anti-phase relationship in extrinsic coordinates. When they corrected the right finger's amplitude, the left finger's amplitude unintentionally also changed [motor interference (MI)], despite the instruction to keep its amplitude constant. Notably, we observed two specificities: one was large MI and low relative-phase variability (PV) under the intrinsic in-phase condition, and the other was large MI and high PV under the extrinsic in-phase condition. Additionally, using a multiple-interaction model, we successfully decomposed MI into intrinsic components caused by motor correction and extrinsic components caused by visual-cursor mismatch of the right finger's movements. This analysis revealed that the central nervous system facilitates MI by combining intrinsic and extrinsic components in the condition with in-phases in both intrinsic and extrinsic coordinates, and that under-additivity of the effects is explained by the brain's preference for the intrinsic interaction over extrinsic interaction. In contrast, the PV was significantly correlated with the intrinsic component, suggesting that the intrinsic interaction dominantly contributed to bimanual movement stabilization. The inconsistent features of MI and PV suggest that the central nervous system regulates multiple levels of bilateral interactions for various bimanual tasks.
尽管对于双手运动,已有报道称固有肌肉协调中存在强大的运动协调能力,但外在视觉坐标中的协调在各种双手任务中也至关重要。为了从参照系的角度探索双手协调机制,我们在此对视觉运动任务中的隐式双边交互进行了特征描述。在参与者以外在坐标中的同相或反相关系用双食指执行节奏跟踪任务时,施加视觉扰动(手指 - 光标增益变化)。当他们校正右手手指的幅度时,尽管有指令要求保持左手手指幅度恒定,但左手手指的幅度也会无意中发生变化[运动干扰(MI)]。值得注意的是,我们观察到两个特点:一个是在固有同相条件下MI大且相对相位变异性(PV)低,另一个是在外在同相条件下MI大且PV高。此外,使用多重交互模型,我们成功地将MI分解为由运动校正引起的固有成分和由右手手指运动的视觉光标不匹配引起的外在成分。该分析表明,中枢神经系统通过在固有和外在坐标均为同相的条件下结合固有和外在成分来促进MI,并且这种效应的次可加性可以通过大脑对固有交互而非外在交互的偏好来解释。相比之下,PV与固有成分显著相关,这表明固有交互对双手运动稳定起主要作用。MI和PV的不一致特征表明,中枢神经系统针对各种双手任务调节双边交互的多个层次。