Avni Inbar, Arac Ahmet, Binyamin-Netser Reut, Kramer Shilo, Krakauer John W, Shmuelof Lior
Department of Cognitive and Brain Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel.
The Translational Neurorehabilitation Lab at Adi Negev Nahalat Eran, Ofakim, Israel.
Neurorehabil Neural Repair. 2024 Sep;38(9):646-658. doi: 10.1177/15459683241268535. Epub 2024 Aug 8.
It has long been of interest to characterize the components of the motor abnormality in the arm after stroke. One approach has been to decompose the hemiparesis phenotype into negative signs, such as weakness, and positive signs, such as intrusion of synergies. We sought to identify the contributions of weakness and flexor synergy to motor deficits in sub-acute stroke.
Thirty-three sub-acute post-stroke participants and 16 healthy controls performed two functional arm movements; one within flexor synergy (shoulder and elbow flexion), and the other outside flexor synergy (shoulder flexion and elbow extension). We analyzed upper limb 3D kinematics to assess both overall task performance and intrusion of pathological synergies. Weakness and spasticity were also measured.
Both tasks produced similar impairments compared to controls. Analysis of elbow and shoulder multi-joint coordination patterns revealed intrusion of synergies in the out-of-synergy reaching task based on the time spent within a flexion-flexion pattern and the correlation between shoulder and elbow angles. Regression analysis indicated that both weakness and synergy intrusion contributed to motor impairment in the out-of-synergy reaching task. Notably, the Fugl-Meyer Assessment (FMA) was abnormal even when only weakness caused the impairment, cautioning that it is not a pure synergy scale.
Weakness and synergy intrusion contribute to motor deficits in the sub-acute post-stroke period. An abnormal FMA score cannot be assumed to be due to synergy intrusion. Careful kinematic analysis of naturalistic movements is required to better characterize the contribution of negative and positive signs to upper limb impairment after stroke.
长期以来,人们一直对中风后手臂运动异常的组成部分进行特征描述。一种方法是将偏瘫表型分解为阴性体征,如无力,以及阳性体征,如协同作用的侵入。我们试图确定无力和屈肌协同作用对亚急性中风运动功能障碍的影响。
33名亚急性中风后参与者和16名健康对照者进行了两项功能性手臂运动;一项在屈肌协同作用范围内(肩部和肘部屈曲),另一项在屈肌协同作用范围外(肩部屈曲和肘部伸展)。我们分析了上肢三维运动学,以评估整体任务表现和病理性协同作用的侵入情况。还测量了无力和痉挛程度。
与对照组相比,两项任务都产生了类似的损伤。对肘部和肩部多关节协调模式的分析显示,在协同作用范围外的伸展任务中,基于在屈曲-屈曲模式内花费的时间以及肩部和肘部角度之间的相关性,存在协同作用的侵入。回归分析表明,无力和协同作用的侵入都导致了协同作用范围外伸展任务中的运动损伤。值得注意的是,即使只有无力导致损伤,Fugl-Meyer评估(FMA)也是异常的,这提醒我们它不是一个纯粹的协同作用量表。
无力和协同作用的侵入导致亚急性中风后运动功能障碍。不能认为FMA评分异常是由于协同作用的侵入。需要对自然运动进行仔细的运动学分析,以更好地描述阴性和阳性体征对中风后上肢损伤的影响。