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Unraveling the interaction between pathological upper limb synergies and compensatory trunk movements during reach-to-grasp after stroke: a cross-sectional study

机译:揭示卒中后抓握过程中病理性上肢协同作用与代偿性躯干运动之间的相互作用:一项横断面研究

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摘要

The aim of the present study was to identify how pathological limb synergies between shoulder and elbow movements interact with compensatory trunk movements during a functional movement with the paretic upper limb after stroke. 3D kinematic joint and trunk angles were measured during a reach-to-grasp movement in 46 patients with stroke and 12 healthy individuals. We used principal component analyses (PCA) to identify components representing linear relations between the degrees of freedom of the upper limb and trunk across patients with stroke and healthy participants. Using multivariate logistic regression analysis, we investigated whether component scores were related to the presence or absence of basic limb synergies as indicated by the arm section of the Fugl-Meyer motor assessment (FMA). Four and three principal components were extracted in patients with stroke and healthy individuals, respectively. Visual inspection revealed that the contribution of joint and trunk angles to each component differed substantially between groups. The presence of the flexion synergy (Shoulder Abduction and Elbow Flexion) was reflected by component 1, whereas the compensatory role of trunk movements for lack of shoulder and elbow movements was reflected by components 2 and 3 respectively. The presence or absence of basic limb synergies as determined by means of the FMA was significantly related to components 2 (p = 0.014) and 3 (p = 0.003) in patients with stroke. These significant relations indicate that PCA is a useful tool to identify clinically meaningful interactions between compensatory trunk movements and pathological synergies in the elbow and shoulder during reach-to-grasp after stroke.
机译:本研究的目的是确定在中风后上腹部的功能性运动过程中,肩部和肘部运动之间的病理性肢体协同作用如何与代偿性躯干运动相互作用。在46例中风患者和12例健康个体的达到抓握运动期间,测量了3D运动关节和躯干角度。我们使用主成分分析(PCA)来识别代表卒中患者和健康参与者的上肢和躯干自由度之间线性关系的成分。使用多元logistic回归分析,我们研究了成分评分是否与基本肢体协同作用的存在或不相关(如Fugl-Meyer运动评估(FMA)的手臂部分所指出)。分别从患有中风和健康个体的患者中提取了四个和三个主要成分。目视检查显示,关节角度和躯干角度对每个组件的贡献在各组之间存在显着差异。组件1反映了屈曲协同作用(肩外展和肘部屈曲)的存在,而组件2和3分别反映了躯干运动对缺乏肩膀和肘部运动的补偿作用。通过FMA确定的基本肢体协同作用的存在与否与中风患者的成分2(p = 0.014)和3(p = 0.003)显着相关。这些重要的关系表明,PCA是一种有用的工具,可用于识别卒中后触手可及的补偿性躯干运动与肘部和肩膀的病理协同之间的临床意义的相互作用。

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