Banks Caitlin L, Huang Helen J, Little Virginia L, Patten Carolynn
Neural Control of Movement Lab, Malcom Randall VA Medical Center, Gainesville, FL, United States.
Rehabilitation Science Doctoral Program, University of Florida, Gainesville, FL, United States.
Front Neurol. 2017 Dec 22;8:699. doi: 10.3389/fneur.2017.00699. eCollection 2017.
Walking after stroke is often described as requiring excessive muscle co-contraction, yet, evidence that co-contraction is a ubiquitous motor control strategy for this population remains inconclusive. Co-contraction, the simultaneous activation of agonist and antagonist muscles, can be assessed with electromyography (EMG) but is often described qualitatively. Here, our goal is to determine if co-contraction is associated with gait impairments following stroke. Fifteen individuals with chronic stroke and nine healthy controls walked on an instrumented treadmill at self-selected speed. Surface EMGs were collected from the medial gastrocnemius (MG), soleus (SOL), and tibialis anterior (TA) of each leg. EMG envelope amplitudes were assessed in three ways: (1) no normalization, (2) normalization to the maximum value across the gait cycle, or (3) normalization to maximal M-wave. Three co-contraction indices were calculated across each agonist/antagonist muscle pair (MG/TA and SOL/TA) to assess the effect of using various metrics to quantify co-contraction. Two factor ANOVAs were used to compare effects of group and normalization for each metric. Co-contraction during the terminal stance (TSt) phase of gait is not different between healthy controls and the paretic leg of individuals post-stroke, regardless of the metric used to quantify co-contraction. Interestingly, co-contraction was similar between M-max and non-normalized EMG; however, normalization does not impact the ability to resolve group differences. While a modest correlation is revealed between the amount of TSt co-contraction and walking speed, the relationship is not sufficiently strong to motivate further exploration of a causal link between co-contraction and walking function after stroke. Co-contraction does not appear to be a common strategy employed by individuals after stroke. We recommend exploration of alternative EMG analysis approaches in an effort to learn more about the causal mechanisms of gait impairment following stroke.
中风后的行走通常被描述为需要过度的肌肉协同收缩,然而,关于协同收缩是这一人群普遍存在的运动控制策略的证据仍然没有定论。协同收缩,即主动肌和拮抗肌的同时激活,可以通过肌电图(EMG)进行评估,但通常是定性描述。在这里,我们的目标是确定协同收缩是否与中风后的步态障碍有关。15名慢性中风患者和9名健康对照者以自我选择的速度在装有仪器的跑步机上行走。从每条腿的内侧腓肠肌(MG)、比目鱼肌(SOL)和胫骨前肌(TA)采集表面肌电图。肌电图包络幅度通过三种方式进行评估:(1)不进行归一化,(2)归一化到步态周期中的最大值,或(3)归一化到最大M波。计算每个主动肌/拮抗肌对(MG/TA和SOL/TA)的三个协同收缩指数,以评估使用各种指标量化协同收缩的效果。使用双因素方差分析比较每组和每个指标归一化的效果。无论使用何种指标量化协同收缩,健康对照者和中风后个体患侧腿在步态末期站立(TSt)阶段的协同收缩没有差异。有趣的是,最大肌肉动作电位(M-max)和未归一化肌电图之间的协同收缩相似;然而,归一化并不影响分辨组间差异的能力。虽然TSt协同收缩量与步行速度之间存在适度的相关性,但这种关系不够强,不足以促使进一步探索中风后协同收缩与步行功能之间的因果联系。协同收缩似乎不是中风后个体采用的常见策略。我们建议探索替代的肌电图分析方法,以便更多地了解中风后步态障碍的因果机制。