Disturbed functional brain networks and neurocognitive function in low-grade glioma patients: a graph theoretical analysis of resting-state MEG.
Disturbed functional brain networks and neurocognitive function in low-grade glioma patients: a graph theoretical analysis of resting-state MEG.
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DOI：
10.1186/1753-4631-3-9
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发表时间：
2009-08-23
期刊：
影响因子：
--
通讯作者：
Stam CJ
中科院分区：
文献类型：
--
作者：
Bosma I;Reijneveld JC;Klein M;Douw L;van Dijk BW;Heimans JJ;Stam CJ
通过用图论评估“静息状态”脑网络结构，了解低级别胶质瘤(LGG)患者认知功能障碍的神经生理学机制。对17例LGG患者和17例健康对照进行了6个神经认知域的标准化测试。在闭眼“静息”状态下进行脑磁图(MEG)记录。计算7个频段的相位滞后指数(PLI)以评估脑区之间的功能连通性。空间模式用图论方法刻画，如聚类系数(局部连通性)、路径长度(全局整合度)、网络小世界(聚类系数/路径长度之比)和关联度(连接节点具有相似程度)。与健康对照组相比，患者在精神运动功能、注意力、信息处理和工作记忆方面表现较差。患者在theta频段表现出较高的短距离和长距离同步和聚集系数，而在beta频段观察到较低的聚集系数和较小的世界范围。在上伽马频段存在较低程度的相关。聚集系数较高、路径长度较长、Delta和α频段较低程度相关的LGG患者的神经认知功能较差。LGG患者在theta频段内表现出更高的短距离和长距离同步性。网络分析显示了变化(特别是theta、beta和上伽马频段)，表明网络架构受到干扰。此外，还发现了神经网络特征与神经认知表现之间的相关性，脑网络的强度和空间组织的广泛变化可能是脑胶质瘤患者认知功能障碍的原因。
To understand neurophysiological mechanisms underlying cognitive dysfunction in low-grade glioma (LGG) patients by evaluating the spatial structure of 'resting-state' brain networks with graph theory. Standardized tests measuring 6 neurocognitive domains were administered in 17 LGG patients and 17 healthy controls. Magnetoencephalography (MEG) recordings were conducted during eyes-closed 'resting state'. The phase lag index (PLI) was computed in seven frequency bands to assess functional connectivity between brain areas. Spatial patterns were characterized with graph theoretical measures such as clustering coefficient (local connectivity), path length (global integration), network small world-ness (ratio of clustering coefficient/path length) and degree correlation (the extent to which connected nodes have similar degrees). Compared to healthy controls, patients performed poorer on psychomotor functioning, attention, information processing, and working memory. Patients displayed higher short- and long-distance synchronization and clustering coefficient in the theta band, whereas a lower clustering coefficient and small world-ness were observed in the beta band. A lower degree correlation was found in the upper gamma band. LGG patients with higher clustering coefficient, longer path length, and lower degree correlations in delta and lower alpha band were characterized by poorer neurocognitive performance. LGG patients display higher short- and long-distance synchronization within the theta band. Network analysis revealed changes (in particularly the theta, beta, and upper gamma band) suggesting disturbed network architecture. Moreover, correlations between network characteristics and neurocognitive performance were found, Widespread changes in the strength and spatial organization of brain networks may be responsible for cognitive dysfunction in glioma patients.