Choudhury Supriyo, Baines Anna, Sarkar Swagata, Bayen Asit Baran, Sarkar Subhajit, Baker Mark R, Kumar Hrishikesh, Baker Stuart N
Department of Neurology, Institute of Neurosciences Kolkata, Kolkata, India.
Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Exp Brain Res. 2025 May 6;243(6):139. doi: 10.1007/s00221-025-07047-2.
After stroke, recovery of upper limb reaching movements may partly depend on the level of activation of the reticulospinal tract (RST), but few clinical studies have explored this. Here we examined the association between the strength of reticulospinal connections and extent of reaching in post-stroke patients.
Fifteen patients (all male) with right hemiparesis who had suffered a stroke at least six months prior to the assessment were selected based on predefined selection criteria. Video recordings of the reaching task from the Action Research Arm Test (ARAT) were processed for two-dimensional kinematic analysis using the markerless motion tracking software DeepLabCut. We defined a novel Index of Elbow Extension (IoEE), and validated it by comparison between simultaneously obtained two- and three-dimensional datasets in healthy people. Strength of reticulospinal outputs was estimated using the 'StartReact' paradigm, which measures the speeding up of reaction time by a loud sound cue.
We observed a significant negative correlation between the IoEE and StartReact (rho = 0.9, p < 0.05). There was no correlation in this cohort between ARAT and StartReact.
We speculate that the negative correlation between reaching performance and StartReact is a consequence of the variable compensatory activation of the reticulospinal tract (RST) in response to different levels of initial damage. This study reinforces the application of freely available computer vision technology for assessment of two- dimensional kinematics in a clinical scenario.
中风后,上肢伸展运动的恢复可能部分取决于网状脊髓束(RST)的激活水平,但很少有临床研究对此进行探索。在此,我们研究了中风后患者网状脊髓连接强度与伸展程度之间的关联。
根据预先定义的选择标准,选取了15名(均为男性)右半身轻瘫患者,这些患者在评估前至少中风六个月。使用无标记运动跟踪软件DeepLabCut对动作研究臂测试(ARAT)中伸展任务的视频记录进行二维运动学分析。我们定义了一种新的肘部伸展指数(IoEE),并通过比较健康人同时获得的二维和三维数据集对其进行了验证。使用“StartReact”范式估计网状脊髓输出的强度,该范式通过响亮的声音提示来测量反应时间的加快。
我们观察到IoEE与StartReact之间存在显著负相关(rho = 0.9,p < 0.05)。在该队列中,ARAT与StartReact之间无相关性。
我们推测,伸展表现与StartReact之间的负相关是网状脊髓束(RST)因不同程度的初始损伤而产生可变代偿性激活的结果。本研究强化了免费计算机视觉技术在临床场景中评估二维运动学的应用。