生物资源2026，Vol.48Issue(4)：331-342,12.DOI:10.14188/j.ajsh.20260044
啮齿类模型脊髓损伤后运动功能评估技术进展及展望
Advances and prospects in motor functional assessment techniques for spinal cord injury in rodent models
摘要
Abstract
Spinal cord injury(SCI)has a high disability rate,often leaving patients with permanent motor dysfunction and imposing a heavy burden on individuals,families,and society.Rodent models,owing to their low cost,short generation time,and well-established methodologies,offer superior feasibility and scientific validity compared to large animal models such as primates,and have become the mainstream choice for preclinical research.However,current motor function assessment tools for rodent SCI models are generally plagued by prominent subjective bias,insufficient quantitative accuracy,and poor inter-laboratory reproducibility,which seriously hamper the objective evaluation of therapeutic efficacy.In recent years,technologies such as visual pose reconstruction and synchronous electrophysiological recording have achieved multiple breakthrough advances in functional assessment of rodent SCI models,and the construction of multimodal integrated assessment systems has also shown great potential to compensate for the inherent limitations of single-modality evaluation methods.This review systematically summarizes recent progress in the application of various assessment technologies in SCI research,covering the technical characteristics and limitations of traditional behavioral assays,electrophysiological detection,and deep learning-based pose tracking,with a special focus on the synergistic advantages and existing bottlenecks of the temporally synchronized,multi-dimensional cross-validated multimodal assessment framework.The continued refinement of multimodal integrated assessment systems will open new avenues for SCI repair research and standardized preclinical efficacy evaluation,while simultaneously providing critical methodological support.关键词
脊髓损伤/功能评估/啮齿类动物/深度学习/多模态评估Key words
spinal cord injury/functional assessment/rodent/deep learning/multimodal evaluation分类
生物科学引用本文复制引用
李睿,彭碧文,王蕾蕾..啮齿类模型脊髓损伤后运动功能评估技术进展及展望[J].生物资源,2026,48(4):331-342,12.基金项目
国家自然科学基金(32370786) （32370786）
