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中风后运动恢复的功能重组与预测:功能网络的图论分析

Functional reorganization and prediction of motor recovery after a stroke: A graph theoretical analysis of functional networks.

作者信息

Lee Jungsoo, Lee Minji, Kim Dae-Shik, Kim Yun-Hee

机构信息

Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daehak-ro, Yuseong-gu, Daejeon, Republic of Korea.

Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Irwon-ro, Gangnam-gu, Seoul, Republic of Korea.

出版信息

Restor Neurol Neurosci. 2015;33(6):785-93. doi: 10.3233/RNN-140467.

DOI:10.3233/RNN-140467
PMID:26484693
Abstract

PURPOSE

This study investigated the changes in the network topological configuration of the ipsilesional and contralesional hemispheres after a stroke and the indicators for the prediction of motor recovery using a graph theoretical approach in networks obtained from functional magnetic resonance imaging (fMRI).

METHODS

A longitudinal observational experiments (2 weeks and 1, 3, and 6 months after onset) were conducted on 12 patients after a stroke. We investigated the network reorganization during recovery in the ipsilesional and contralesional hemispheres by examining changes of graph indices related to network randomization. We predicted the recovery of motor function by examining the relationship between specific network measures and improved motor function scores.

RESULTS

The ipsilesional hemispheric network showed active reorganization during recovery after a stroke. The randomness of the network significantly increased for 3 months post-stroke. We described an indicator for the prediction of the recovery of motor function from graph indices: the characteristic path length. As the path length of the ipsilesional network was lower immediately after onset, the better recovery could be expected after 3 months.

CONCLUSIONS

This approach were helpful for understanding dynamic reorganizations of both hemispheric networks after a stroke and finding the implication for recovery.

摘要

目的

本研究采用图论方法,对从功能磁共振成像(fMRI)获得的网络进行研究,调查中风后患侧和健侧半球网络拓扑结构的变化以及预测运动恢复的指标。

方法

对12名中风患者进行纵向观察实验(发病后2周、1个月、3个月和6个月)。我们通过检查与网络随机化相关的图指标的变化,研究患侧和健侧半球恢复过程中的网络重组。我们通过检查特定网络指标与改善的运动功能评分之间的关系来预测运动功能的恢复。

结果

患侧半球网络在中风后的恢复过程中表现出活跃的重组。中风后3个月,网络的随机性显著增加。我们从图指标中描述了一个预测运动功能恢复的指标:特征路径长度。由于发病后即刻患侧网络的路径长度较低,因此预计3个月后恢复情况会更好。

结论

这种方法有助于理解中风后双侧半球网络的动态重组,并找到恢复的意义。

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