Interjoint coupling of position sense reflects sensory contributions of biarticular muscles
Interjoint coupling of position sense reflects sensory contributions of biarticular muscles
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DOI：
10.1152/jn.00317.2019
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发表时间：
2021-04-01
影响因子：
2.5
通讯作者：
Scott, Stephen H.
中科院分区：
文献类型：
--
作者：
Herter, Troy M.;Kurtzer, Isaac;Scott, Stephen H.
对肢体位置和运动的感知结合了来自跨越一个关节（单关节）和两个关节（双关节）的肌肉中的纺锤体的感觉信息。这种解剖组织应该在估计肢体位置时产生相互作用。我们开发了两个模型，一个只有monoarticulars和一个monoarticulars和biarticulars，探讨如何biarticulars影响估计手臂的位置在手（x，y）和关节（肩，肘）坐标。在手部坐标中，两个模型预测的内侧-外侧误差大于近端-远端误差，尽管两个肌肉群的模型预测双关节会减少这种偏差。相比之下，这两个模型在关节坐标上做出了显著不同的预测。只有单关节的模型预测误差将均匀分布，因为每个关节的角度估计值是独立的。相比之下，包括双关节的模型预测误差将在两个关节之间耦合，导致两个关节屈曲或伸展组合的误差较小，一个关节屈曲和另一个关节伸展组合的误差较大。我们还进行了两个实验，以检查在手臂位置匹配任务中，机器人被动地将一只手臂移动到不同的位置和受试者移动他们的另一只手臂，以镜像匹配每个位置的人类受试者所犯的错误。手坐标的误差与两种模型预测的误差相似。然而，关键的是，关节坐标的误差仅与monoarticulars和biarticulars模型预测的误差相似。这些结果突出了双关节如何通过帮助最大限度地减少内侧-外侧误差来影响肢体位置的感知估计。新&值得注意的是，目前还不清楚位于多个关节肌肉内的肌梭的感觉信息如何影响身体位置和运动的感知。我们解决这个问题，通过比较人类受试者的肢体位置估计的误差与预测误差的两个肌肉骨骼模型，一个只有monoarticulars和monoarticulars和biarticulars。我们提供的证据表明，双关节产生耦合的错误之间的关节，这有助于减少错误。
Perception of limb position and motion combines sensory information from spindles in muscles that span one joint (monoarticulars) and two joints (biarticulars). This anatomical organization should create interactions in estimating limb position. We developed two models, one with only monoarticulars and one with both monoarticulars and biarticulars, to explore how biarticulars influence estimates of arm position in hand (x, y) and joint (shoulder, elbow) coordinates. In hand coordinates, both models predicted larger medial-lateral than proximal-distal errors, although the model with both muscle groups predicted that biarticulars would reduce this bias. In contrast, the two models made significantly different predictions in joint coordinates. The model with only monoarticulars predicted that errors would be uniformly distributed because estimates of angles at each joint would be independent. In contrast, the model that included biarticulars predicted that errors would be coupled between the two joints, resulting in smaller errors for combinations of flexion or extension at both joints and larger errors for combinations of flexion at one joint and extension at the other joint. We also carried out two experiments to examine errors made by human subjects during an arm position matching task in which a robot passively moved one arm to different positions and the subjects moved their other arm to mirror-match each position. Errors in hand coordinates were similar to those predicted by both models. Critically, however, errors in joint coordinates were only similar to those predicted by the model with monoarticulars and biarticulars. These results highlight how biarticulars influence perceptual estimates of limb position by helping to minimize medial-lateral errors.NEW & NOTEWORTHY It is unclear how sensory information from muscle spindles located within muscles spanning multiple joints influences perception of body position and motion. We address this issue by comparing errors in estimating limb position made by human subjects with predicted errors made by two musculoskeletal models, one with only monoarticulars and one with both monoarticulars and biarticulars. We provide evidence that biarticulars produce coupling of errors between joints, which help to reduce errors.