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偏瘫型皮质下慢性卒中患者静息状态下的异常功能网络。

Abnormal functional networks in resting-state of the sub-cortical chronic stroke patients with hemiplegia.

作者信息

Zhang Ye, Wang Li, Yang Jun, Yan Rubing, Zhang Jingna, Sang Linqiong, Li Pengyue, Liu Hongliang, Qiu Mingguo

机构信息

Department of Medical Image, College of Biomedical Engineering, Third Military Medical University, Chongqing, China.

Department of Radiology, Southwest Hospital, Third Military Medical University, Chongqing, China.

出版信息

Brain Res. 2017 May 15;1663:51-58. doi: 10.1016/j.brainres.2017.02.012. Epub 2017 Feb 16.

Abstract

The aim of this study is to identify the properties of the motor network and the default-mode network (DMN) of the sub-cortical chronic stroke patients, and to study the relationship between the network connectivity and the neurological scales of the stroke patients. Twenty-eight chronic stroke patients (28-77days post-stroke) and twenty-eight healthy control subjects (HCs) were recruited. Independent component analysis (ICA) was performed to obtain the motor network and the DMN. Two sample t-tests was used to compare the differences of the motor network and the DMN between the patients and HCs. Additionally, correlations between the network connectivity and the behavioral scores of the stroke patients were studied. Compared with the HCs, the motor network connectivity of the stroke patients was significantly increased in the contralesional superior parietal lobule, but decreased in ipsilesional M1. The DMN connectivity of the stroke patients was significantly increased in the contralesional middle frontal gyrus, but decreased in bilateral precuneus, ipsilesional supramarginal and angular gyrus. Moreover, the motor network connectivity of the contralesional superior parietal lobule was positively correlated with the Fugl-Meyer assessment (FMA) score of the stroke patients. Our results showed abnormal motor network and DMN during the resting-state of the stroke patients, suggesting that resting-state network connectivity could serve as biomarkers for future stroke studies. Brain-behavior relationships could be taken into account while evaluating stroke patients.

摘要

本研究旨在确定皮质下慢性卒中患者的运动网络和默认模式网络(DMN)的特性,并研究网络连通性与卒中患者神经学量表之间的关系。招募了28例慢性卒中患者(卒中后28 - 77天)和28例健康对照者(HCs)。采用独立成分分析(ICA)来获取运动网络和DMN。使用两样本t检验比较患者与HCs之间运动网络和DMN的差异。此外,还研究了网络连通性与卒中患者行为评分之间的相关性。与HCs相比,卒中患者对侧顶上小叶的运动网络连通性显著增加,但患侧M1区的运动网络连通性降低。卒中患者对侧额中回的DMN连通性显著增加,但双侧楔前叶、患侧缘上回和角回的DMN连通性降低。此外,对侧顶上小叶的运动网络连通性与卒中患者的Fugl - Meyer评估(FMA)评分呈正相关。我们的结果显示卒中患者静息状态下运动网络和DMN异常,提示静息状态网络连通性可作为未来卒中研究的生物标志物。在评估卒中患者时可考虑脑 - 行为关系。

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