Klishko Alexander N, Harnie Jonathan, Hanson Claire E, Rahmati S Mohammadali, Rybak Ilya A, Frigon Alain, Prilutsky Boris I
School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA.
Department of Pharmacology-Physiology, Université de Sherbrooke, Sherbrooke, QC, Canada.
bioRxiv. 2024 Sep 20:2024.09.19.613891. doi: 10.1101/2024.09.19.613891.
It was suggested that during locomotion, the nervous system controls movement by activating groups of muscles, or muscle synergies. Analysis of muscle synergies can reveal the organization of spinal locomotor networks and how it depends on the state of the nervous system, such as before and after spinal cord injury, and on different locomotor conditions, including a change in speed. The goal of this study was to investigate the effects of spinal transection and locomotor speed on hindlimb muscle synergies and their time-dependent activity patterns in adult cats. EMG activities of 15 hindlimb muscles were recorded in 9 adult cats of either sex during tied-belt treadmill locomotion at speeds of 0.4, 0.7, and 1.0 m/s before and after recovery from a low thoracic spinal transection. We determined EMG burst groups using cluster analysis of EMG burst onset and offset times and muscle synergies using non-negative matrix factorization. We found five major EMG burst groups and five muscle synergies in each of six experimental conditions (2 states × 3 speeds). In each case, the synergies accounted for at least 90% of muscle EMG variance. Both spinal transection and locomotion speed modified subgroups of EMG burst groups and the composition and activation patterns of selected synergies. However, these changes did not modify the general organization of muscle synergies. Based on the obtained results, we propose an organization for a pattern formation network of a two-level central pattern generator that can be tested in neuromechanical simulations of spinal circuits controlling cat locomotion.
有人提出,在运动过程中,神经系统通过激活肌肉群或肌肉协同作用来控制运动。对肌肉协同作用的分析可以揭示脊髓运动网络的组织方式,以及它如何依赖于神经系统的状态,例如脊髓损伤前后,以及不同的运动条件,包括速度变化。本研究的目的是调查脊髓横断和运动速度对成年猫后肢肌肉协同作用及其时间依赖性活动模式的影响。在9只成年猫(雌雄不限)从低位胸段脊髓横断恢复前后,于系腰带跑步机上以0.4、0.7和1.0 m/s的速度进行运动时,记录了15块后肢肌肉的肌电图活动。我们使用肌电图爆发起始和结束时间的聚类分析来确定肌电图爆发组,并使用非负矩阵分解来确定肌肉协同作用。我们在六种实验条件(2种状态×3种速度)中的每一种条件下都发现了五个主要的肌电图爆发组和五种肌肉协同作用。在每种情况下,协同作用至少占肌肉肌电图方差的90%。脊髓横断和运动速度都改变了肌电图爆发组的亚组以及选定协同作用的组成和激活模式。然而,这些变化并没有改变肌肉协同作用的总体组织。基于获得的结果,我们提出了一种两级中枢模式发生器模式形成网络的组织方式,该方式可在控制猫运动的脊髓回路的神经力学模拟中进行测试。