Cortical networks of hemianopia stroke patients: A graph theoretical analysis of EEG signals at resting state

Cortical networks of hemianopia stroke patients: A graph theoretical analysis of EEG signals at resting state
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DOI:
10.1109/embc.2012.6345868
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发表时间:
2012-11
期刊:
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
影响因子:
--
通讯作者:
Lei Wang;Xiaoli Guo;Junfeng Sun;Zheng Jin;S. Tong
Lei Wang;Xiaoli Guo;Junfeng Sun;Zheng Jin;S. Tong
中科院分区:
其他
文献类型:
--
作者:
Lei Wang;Xiaoli Guo;Junfeng Sun;Zheng Jin;S. Tong

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视皮层卒中患者可出现偏盲症状,影响多项视功能。大多数偏盲中风的研究主要集中在视觉刺激时皮质的激活,还没有发现不同脑区之间的功能连接模式。在本研究中,我们利用多通道脑电(EEG)信号的相位同步指标构建的功能性脑网络的图论分析,来研究偏盲中风患者的静息神经网络。我们的结果表明,虽然患者和健康对照组的全局网络拓扑指标,即加权聚类系数和特征路径长度具有可比性,但患者的左侧初级视皮层的活动倾向于低于年龄匹配的健康受试者。然而,偏盲患者在单侧(左侧)颞极和眼眶额区以及对侧(右侧)联合视皮层表现出更大的激活。这些结果可能为了解偏盲卒中的神经基础,以及进一步研究偏盲后的神经可塑性和脑重组提供新的视角。
Visual cortical stroke patients may have hemianopia symptom, which affects a number of visual functions. Most studies on hemianopia stroke have mainly focused on cortical activation during visual stimulation, leaving the pattern of functional connectivity between different brain regions uncovered yet. In the present study, we investigate the resting neural networks of hemianopia stroke patients by graph theoretical analysis of functional brain networks constructed with phase synchronization indexes of multichannel electroencephalography (EEG) signals. Our results showed that although the global network topological metrics, i.e., weighted clustering coefficient and characteristic path length of patients and healthy controls are comparable, the left primary visual cortex of patients tend to be less active than that of age-matched healthy subjects. However, hemianopia patients showed greater activation in the ipsilesional (left) temporopolar and orbit frontal areas and the contralesional (right) associative visual cortex. These results may offer new insight into neural substrates of the hemianopia stroke, and the further study of neural plasticity and brain reorganization after hemianopia.