个体间支配手指运动的微观神经元特征
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国家自然科学基金项目(62001122),上海市浦江人才计划项目(19PJ1401100),上海市国际科技合作项目(20510710500)


Characteristics of Motoneurons Controlling Single Finger Movement in Different Individuals
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    摘要:

    目的 分析个体支配单个手指伸展运动的微观神经元特征,得出不同个体微观神经元特征的异同性。 方法通过盲源分离算法分解出支配不同个体在单个手指伸展时的微观运动神经元,对所得神经元进行二维空间特征量化,并利用不同个体分解出的神经元特征进行手指分类,通过特征量化和分类结果验证支配不同个体的运动神经元特征的异同性。 通过共享运动神经元占比分析研究神经支配不同手指协同运动的微观神经元特性在不同个体间的差异性。 结果 不同个体的食指与中指的运动神经元空间分布差异较大,激活面积相似。 利用不同人群数据作为训练集和测试集进行手指分类的平均准确率为 86. 99% ,经迁移成分分析校准后显著提高为 90. 07% 。 通过不同个体共享神经元占比分析发现,食指与其他 3 指(中指、无名指、小指)之间的共享神经元占比较少,而无名指与小指之间的占比最高。 结论 不同个体控制不同手指的运动神经元整体的空间放电特征较为相似,存在较小的个体性差异。 本研究揭示不同个体在进行手指运动时的内在神经机制,为手指运动障碍患者临床神经机制分析以及相关工程应用提供参考。

    Abstract:

    Objective To analyze characteristics of motoneurons controlling the extension of a single finger in different individuals, and obtain the similarity and difference of micro-motoneurons characteristics in different individuals. Methods The motoneurons were decomposed by blind source separation algorithm. The twodimensional (2D) features of the neurons were quantified, and the fingers were classified by the features of the neurons decomposed by different individuals. In addition, the proportion of shared motor neurons was used to study characteristics of motoneurons innervating the coordinated movement of different fingers between individuals. Results There were significant differences in spatial distribution of motoneurons between the index finger and the middle finger for different individuals, but the activation area was similar. Using data from different people as training sets and testing sets, the average accuracy of finger classification was 86. 99% , and it was significantly improved to 90. 07% after using transfer component analysis (TCA) calibration. Through analysis on the proportion of shared neurons in different individuals, it was found that the proportion of shared neurons between index finger and other three fingers (middle finger, ring finger and little finger) was relatively low, while that between ring finger and little finger was high. Conclusions The spatial discharge characteristics of motoneurons controlling different fingers in different individuals are similar and have small individual differences. This study reveals the internal neural mechanism of different individuals during finger movement, and provides references for clinical neural mechanism analysis of patients with finger movement disorders and the related engineering applications

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万慧颖,刘翔宇,戴晨赟,陈 炜.个体间支配手指运动的微观神经元特征[J].医用生物力学,2023,38(2):382-388

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  • 收稿日期:2022-03-27
  • 最后修改日期:2022-06-02
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  • 在线发布日期: 2023-04-25
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