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脑损伤后的静息态网络可塑性。

Resting network plasticity following brain injury.

机构信息

Department of Radiology, University of Medicine and Dentistry of New Jersey-New Jersey Medical School, Newark, New Jersey, United States of America.

出版信息

PLoS One. 2009 Dec 14;4(12):e8220. doi: 10.1371/journal.pone.0008220.

Abstract

The purpose of this study was to examine neural network properties at separate time-points during recovery from traumatic brain injury (TBI) using graph theory. Whole-brain analyses of the topological properties of the fMRI signal were conducted in 6 participants at 3 months and 6 months following severe TBI. Results revealed alterations of network properties including a change in the degree distribution, reduced overall strength in connectivity, and increased "small-worldness" from 3 months to 6 months post injury. The findings here indicate that, during recovery from injury, the strength but not the number of network connections diminishes, so that over the course of recovery, the network begins to approximate what is observed in healthy adults. These are the first data examining functional connectivity in a disrupted neural system during recovery.

摘要

本研究旨在使用图论方法,在创伤性脑损伤(TBI)恢复过程的不同时间点,研究神经网络特性。在 6 名严重 TBI 患者中,分别在伤后 3 个月和 6 个月进行 fMRI 信号拓扑特性的全脑分析。结果显示,网络特性发生改变,包括度分布的变化、连接整体强度的降低以及小世界特性的增加。这些发现表明,在损伤恢复过程中,连接的强度而非数量会减少,因此在恢复过程中,网络开始接近健康成年人的情况。这些是在受损神经网络恢复过程中首次检查功能连接的研究数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c330/2788622/fd3f2082e9b9/pone.0008220.g001.jpg

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