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一种用于评估啮齿动物前肢功能的运动偏差指数(KDI)。

A Kinematic Deviation Index (KDI) for Evaluation of Forelimb Function in Rodents.

作者信息

Torres-Espin Abel, Bernstein Amanda, Soliman Marwa, Jara Juan Sebastián, Moreno-López Yunuen, Hollis Edmund

机构信息

School of Public Health Sciences, University of Waterloo, Waterloo, Canada.

Department of Neurological Surgery, University of California San Francisco, San Francisco, USA.

出版信息

bioRxiv. 2024 Sep 29:2024.09.26.615237. doi: 10.1101/2024.09.26.615237.

Abstract

Rodent models are widely used to study neurological conditions and assess forelimb movement to measure function performance, deficit, recovery and treatment effectiveness. Traditional assessment methods based on endpoints such as whether the task is accomplished, while easy to implement, provide limited information on movement patterns important to assess different functional strategies. On the other side, detailed kinematic analysis provides granular information on the movement patterns but is difficult to compare across laboratories, and may not translate to clinical metrics of upper limb function. To address these limitations, we developed and validated a kinematic deviation index (KDI) for rodents that mimics current trends in clinical research. The KDI is a unitless summary score that quantifies the difference between an animal movement during a task and its optimal performance derived from spatiotemporal marker sequences without pre-specifying movements. We demonstrate the utility of KDI in assessing reaching and grasping in mice and validate its discrimination between trial endpoints in healthy animals. Furthermore, we show KDI sensitivity to interventions, including acute and chronic spinal cord injury and optogenetic disruption of sensorimotor circuits. The KDI provides a comprehensive measure of motor function that bridges the gap between detailed kinematic analysis and simple success/failure metrics, offering a valuable tool for assessing recovery and compensation in rodent models of neurological disorders.

摘要

啮齿动物模型被广泛用于研究神经疾病,并评估前肢运动以测量功能表现、功能缺陷、恢复情况和治疗效果。基于任务是否完成等终点的传统评估方法虽然易于实施,但在评估不同功能策略时,提供的关于运动模式的信息有限。另一方面,详细的运动学分析能提供关于运动模式的详细信息,但不同实验室之间难以进行比较,而且可能无法转化为上肢功能的临床指标。为了解决这些局限性,我们开发并验证了一种针对啮齿动物的运动偏差指数(KDI),它模仿了临床研究的当前趋势。KDI是一个无量纲的综合评分,它量化了动物在任务执行过程中的运动与其从时空标记序列得出的最佳表现之间的差异,而无需预先指定运动。我们展示了KDI在评估小鼠抓握和抓取动作方面的效用,并验证了它在健康动物试验终点之间的区分能力。此外,我们还展示了KDI对干预措施的敏感性,包括急性和慢性脊髓损伤以及感觉运动回路的光遗传学破坏。KDI提供了一种全面的运动功能测量方法,弥合了详细运动学分析与简单成功/失败指标之间的差距,为评估神经疾病啮齿动物模型中的恢复和代偿提供了一个有价值的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6367/11463371/5bed635c1b31/nihpp-2024.09.26.615237v1-f0001.jpg

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