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从信息论角度对 CMAP 扫描的新分析：CMAP 分布指数 (CDIX)。

A Novel Analysis of CMAP Scans From Perspective of Information Theory: CMAP Distribution Index (CDIX).

出版信息

IEEE Trans Biomed Eng. 2023 Apr;70(4):1182-1188. doi: 10.1109/TBME.2022.3212312. Epub 2023 Mar 21.

DOI:10.1109/TBME.2022.3212312
PMID:36197873
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11057325/
Abstract

OBJECTIVE

The compound muscle action potential (CMAP) scan is a useful technique for examination of neuromuscular disorders. The objective of this study is to develop a novel analysis of CMAP scans from the perspective of information theory.

METHODS

A novel index parameter called CMAP distribution index (CDIX) was developed to characterize CMAP scan based on calculation of the information entropy. The performance of CDIX was evaluated using CMAP scan data from healthy control and spinal cord injury (SCI) subjects, and compared with D50 and MScanFit motor unit number estimation (MUNE).

RESULTS

CDIX was significantly lower for the SCI subjects compared with the healthy control subjects (p < 0.001). A significant correlation ( R = 0.58, p < 0.001) was found between CDIX and MScanFit MUNE. Among all tested parameters (maximum CMAP, D50, MScanFit MUNE and CDIX), CDIX achieved the smallest relative width of the overlapping zone (WOZ%) between SCI and healthy control subjects.

CONCLUSION

CDIX can be inferred as a useful index reflecting motor unit loss and muscle fiber reinnervation changes.

摘要

目的

复合肌肉动作电位（CMAP）扫描是一种用于检查神经肌肉疾病的有用技术。本研究的目的是从信息论的角度对 CMAP 扫描进行新的分析。

方法

开发了一种新的索引参数，称为 CMAP 分布指数（CDIX），用于基于信息熵计算来描述 CMAP 扫描。使用来自健康对照和脊髓损伤（SCI）受试者的 CMAP 扫描数据评估 CDIX 的性能，并与 D50 和 MScanFit 运动单位数量估计（MUNE）进行比较。

结果

与健康对照组相比，SCI 组的 CDIX 显著降低（p < 0.001）。CDIX 与 MScanFit MUNE 之间存在显著相关性（R = 0.58，p < 0.001）。在所有测试的参数（最大 CMAP、D50、MScanFit MUNE 和 CDIX）中，CDIX 在 SCI 和健康对照组之间的重叠区（WOZ%）的相对宽度最小。

结论

CDIX 可以作为反映运动单位丧失和肌纤维再支配变化的有用指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/727ef6ffbe95/nihms-1985873-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/5a855b013ba7/nihms-1985873-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/8eec35fa0d13/nihms-1985873-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/a7bded9b0db5/nihms-1985873-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/6b7234e40cad/nihms-1985873-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/e4ca992d5a7c/nihms-1985873-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/727ef6ffbe95/nihms-1985873-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/5a855b013ba7/nihms-1985873-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/8eec35fa0d13/nihms-1985873-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/a7bded9b0db5/nihms-1985873-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/6b7234e40cad/nihms-1985873-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/e4ca992d5a7c/nihms-1985873-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37a2/11057325/727ef6ffbe95/nihms-1985873-f0006.jpg

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