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The influence of visual information on multi-muscle control during quiet stance: a spectral analysis approach

机译:视觉信息对安静状态下多肌肉控制的影响:一种频谱分析方法

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Standing upright requires the coordination of neural drives to a large set of muscles involved in controlling human bipedal stance (i.e., postural muscles). The coordination may deteriorate in situations where standing is performed under more challenging circumstances, such as standing on a smaller base of support or not having adequate visual information. The present study investigates the role of common neural inputs in the organization of multi-muscle synergies and the effects of visual input disruption to this mechanism of control. We analyzed the strength and distribution of correlated neural inputs (measured by intermuscular coherence) to six postural muscles previously recognized as components of synergistic groups involved in the maintenance of the body's vertical positioning. Two experimental conditions were studied: quiet bipedal stance performed with opened eyes (OEs) and closed eyes (CEs). Nine participants stood quietly for 30 s while the activity of the soleus, biceps femoris, lumbar erector spinae, tibialis anterior, rectus femoris, and rectus abdominis muscles were recorded using surface electrodes. Intermuscular (EMG-EMG) coherence was estimated for 12 muscle pairs formed by these muscles, including pairs formed solely by either posterior, anterior, or mixed (one posterior and one anterior) muscles. Intermuscular coherence was only found to be significant for muscle pairs formed solely by either posterior or anterior muscles, and no significant coherence was found for mixed muscle pairs. Significant intermuscular coherence was only found within a distinct frequency interval bounded between 1 and 10 Hz when visual input was available (OEs trials). The strength of correlated neural inputs was similar across muscle pairs located in different joints but executing a similar function (pushing body either backward or forward) suggesting that synergistic postural groups are likely formed based on their functional role instead of their anatomical location. Absence of visual information caused a significant decrease in intermuscular coherence. These findings are consistent with the hypothesis that correlated neural inputs are a mechanism used by the CNS to assemble synergistic muscle groups. Further, this mechanism is affected by interruption of visual input.
机译:直立站立需要神经驱动协调涉及控制人类双足姿势的大组肌肉(即姿势肌肉)。在更具挑战性的情况下站立时,例如站在较小的支撑基础上或没有足够的视觉信息时,协调性可能会变差。本研究调查了常见的神经输入在组织多肌肉协同作用中的作用以及视觉输入中断对该控制机制的影响。我们分析了六种姿势肌肉的相关神经输入(通过肌间连贯性测量)的强度和分布,这些姿势肌肉以前被认为是参与维持人体垂直定位的协同组的组成部分。研究了两个实验条件:睁开眼睛(OEs)和闭眼(CEs)执行安静的双足姿势。九名参与者安静地站立了30 s,同时使用表面电极记录了比目鱼肌,股二头肌,腰直肌脊柱,胫前肌,股直肌和腹直肌的活动。估计了由这些肌肉形成的12对肌肉的肌间(EMG-EMG)相干性,包括仅由后,前或混合(一个后和一个前)肌肉形成的对。肌肉间连贯性仅对仅由后部或前部肌肉形成的肌肉对具有重要意义,而对于混合肌肉对则无明显的连贯性。当视觉输入可用时(OEs试验),仅在1到10 Hz之间的不同频率间隔内发现了明显的肌肉间连贯性。相关神经输入的强度在位于不同关节的肌肉对之间相似,但执行相似的功能(向后或向前推动身体),这表明可能基于其功能角色而不是其解剖位置形成了协同姿势组。缺少视觉信息会导致肌肉间连贯性显着降低。这些发现与有关的神经输入是中枢神经系统组装增效肌肉群的机制的假说是一致的。此外,该机制受视觉输入中断的影响。

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