Dose Francesco, Menosso Rachele, Taccola Giuliano
Neuroscience Department, International School for Advanced Studies (SISSA) via Bonomea 265, Trieste, Italy ; SPINAL (Spinal Person Injury Neurorehabilitation Applied Laboratory), Istituto di Medicina Fisica e Riabilitazione (IMFR) via Gervasutta 48, Udine, Italy.
Physiol Rep. 2013 Jul;1(2):e00025. doi: 10.1002/phy2.25. Epub 2013 Jul 8.
Noisy waveforms, sampled from an episode of fictive locomotion (FL) and delivered to a dorsal root (DR), are a novel electrical stimulating protocol demonstrated as the most effective for generating the locomotor rhythm in the rat isolated spinal cord. The present study explored if stimulating protocols constructed by sampling real human locomotion could be equally efficient to activate these locomotor networks in vitro. This approach may extend the range of usable stimulation protocols and provide a wide palette of noisy waveforms for this purpose. To this end, recorded electromyogram (EMG) from leg muscles of walking adult volunteers provided a protocol named ReaListim (Real Locomotion-induced stimulation) that applied to a single DR successfully activated FL. The smoothed kinematic profile of the same gait failed to do so like nonphasic noisy patterns derived from standing and isometric contraction. Power spectrum analysis showed distinctive low-frequency domains in ReaListim, along with the high-frequency background noise. The current study indicates that limb EMG signals (recorded during human locomotion) applied to DR of the rat spinal cord are more effective than EMG traces taken during standing or isometric contraction of the same muscles to activate locomotor networks. Finally, EMGs recorded during various human motor tasks demonstrated that noisy waves of the same periodicity as ReaListim, could efficiently activate the in vitro central pattern generator (CPG), regardless of the motor task from which they had been sampled. These data outline new strategies to optimize functional stimulation of spinal networks after injury.
从虚构运动(FL)片段中采样并传递到背根(DR)的噪声波形,是一种新型电刺激方案,已被证明是在大鼠离体脊髓中产生运动节律最有效的方法。本研究探讨了通过采样真实人类运动构建的刺激方案是否能同样有效地在体外激活这些运动网络。这种方法可能会扩大可用刺激方案的范围,并为此提供大量的噪声波形。为此,从行走的成年志愿者腿部肌肉记录的肌电图(EMG)提供了一种名为ReaListim(真实运动诱导刺激)的方案,该方案应用于单个DR时成功激活了FL。相同步态的平滑运动学轮廓未能做到这一点,就像从站立和等长收缩中获得的非相位噪声模式一样。功率谱分析显示ReaListim中有独特的低频域,以及高频背景噪声。当前研究表明,应用于大鼠脊髓DR的肢体EMG信号(在人类运动期间记录)比在相同肌肉的站立或等长收缩期间采集的EMG痕迹更有效地激活运动网络。最后,在各种人类运动任务期间记录的EMG表明,与ReaListim具有相同周期性的噪声波可以有效地激活体外中枢模式发生器(CPG),无论它们是从哪个运动任务中采样的。这些数据概述了损伤后优化脊髓网络功能刺激的新策略。