Background: Variability in motor recovery after stroke represents a major challenge in its understanding and management. While functional MRI has traditionally been used to address post-stroke motor function in relation to clinical outcome, it lacks details about movement characteristics linked to observed brain activations. Combining fMRI with detailed information of motor function by using motion capture (mocap) might provide clinicians with additional information about mechanisms of motor impairment after stroke. Objectives: We aimed to identify fMRI and mocap coupling approaches and to evaluate their potential contribution to the understanding of motor function post-stroke. Method: A systematic literature review was performed according to PRISMA guidelines, on studies using fMRI and mocap in post-stroke individuals. We assessed the internal, external, statistical, and technological validity of each study. Data extraction included study design and analysis procedures used to couple brain activity with movement characteristics. Results: Of the 404 studies found, 23 were included in the final review. The overall study quality was moderate (0.6/1). The majority of studies focused on the upper limb, using a wide variety of motor tasks. Half of the studies performed a statistical analysis between movement and brain activity by either using kinematics as variables during group or individual level regression or correlation. This permitted establishing a link between motor characteristics and brain activations. Mocap was also integrated without statistical confrontation, to compare results between fMRI and kinematics, or to incorporate real-time movement information to supply external devices, like motor feedback. Conclusion: Our review suggests that the simultaneous use of fMRI and Mocap provides new insights compared with conventional fMRI analysis. It allows a better understanding of post-stroke motor function, although being still subject to practical and technological limitations. Further research is needed to optimize and standardize both data measurement and processing procedures.

中文翻译：

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动作捕捉能否改善基于任务的功能磁共振成像（fMRI）对中风后运动功能的研究？系统回顾

背景：中风后运动恢复的变异性是对其理解和管理的重大挑战。虽然功能性 MRI 传统上用于解决与临床结果相关的中风后运动功能，但它缺乏与观察到的大脑激活相关的运动特征的详细信息。通过使用运动捕捉 (mocap) 将功能磁共振成像与运动功能的详细信息相结合，可能会为临床医生提供有关中风后运动损伤机制的更多信息。目标：我们的目的是确定功能磁共振成像和动作捕捉耦合方法，并评估它们对理解中风后运动功能的潜在贡献。方法：根据 PRISMA 指南，对中风后个体使用 fMRI 和 mocap 进行的研究进行系统文献综述。我们评估了每项研究的内部、外部、统计和技术有效性。数据提取包括用于将大脑活动与运动特征结合起来的研究设计和分析程序。结果：在发现的 404 项研究中，23 项纳入最终审查。总体研究质量中等（0.6/1）。大多数研究都集中在上肢，使用各种各样的运动任务。一半的研究通过使用运动学作为群体或个体水平回归或相关期间的变量，对运动和大脑活动之间进行了统计分析。这使得在运动特征和大脑激活之间建立联系成为可能。 Mocap 还可以在没有统计对抗的情况下进行集成，以比较功能磁共振成像和运动学之间的结果，或者合并实时运动信息以提供外部设备，例如运动反馈。结论：我们的综述表明，与传统的 fMRI 分析相比，同时使用 fMRI 和 Mocap 提供了新的见解。尽管仍受到实际和技术的限制，但它可以更好地理解中风后运动功能。需要进一步的研究来优化和标准化数据测量和处理程序。