Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Amsterdam Neuroscience, Amsterdam UMC Location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
J Neurooncol. 2024 Feb;166(3):523-533. doi: 10.1007/s11060-024-04577-7. Epub 2024 Feb 3.
Glioma is associated with pathologically high (peri)tumoral brain activity, which relates to faster progression. Functional connectivity is disturbed locally and throughout the entire brain, associating with symptomatology. We, therefore, investigated how local activity and network measures relate to better understand how the intricate relationship between the tumor and the rest of the brain may impact disease and symptom progression.
We obtained magnetoencephalography in 84 de novo glioma patients and 61 matched healthy controls. The offset of the power spectrum, a proxy of neuronal activity, was calculated for 210 cortical regions. We calculated patients' regional deviations in delta, theta and lower alpha network connectivity as compared to controls, using two network measures: clustering coefficient (local connectivity) and eigenvector centrality (integrative connectivity). We then tested group differences in activity and connectivity between (peri)tumoral, contralateral homologue regions, and the rest of the brain. We also correlated regional offset to connectivity.
As expected, patients' (peri)tumoral activity was pathologically high, and patients showed higher clustering and lower centrality than controls. At the group-level, regionally high activity related to high clustering in controls and patients alike. However, within-patient analyses revealed negative associations between regional deviations in brain activity and clustering, such that pathologically high activity coincided with low network clustering, while regions with 'normal' activity levels showed high network clustering.
Our results indicate that pathological activity and connectivity co-localize in a complex manner in glioma. This insight is relevant to our understanding of disease progression and cognitive symptomatology.
脑胶质瘤与病理性高（瘤周）脑活动相关，而后者与肿瘤的快速进展有关。功能连接在局部和整个大脑中均受到干扰，与症状相关。因此，我们研究了局部活动和网络测量值之间的关系，以更好地了解肿瘤与大脑其他部位之间复杂的关系如何影响疾病和症状的进展。
我们在 84 名新诊断的脑胶质瘤患者和 61 名匹配的健康对照者中获得了脑磁图。计算了 210 个皮质区的功率谱偏移（神经元活动的代理指标）。我们使用两种网络测量方法（聚类系数（局部连接）和特征向量中心性（综合连接））计算了患者与对照组相比在 delta、theta 和低 alpha 网络连接中的区域偏差。然后，我们测试了肿瘤（瘤周）、对侧同源区和大脑其余部分之间的活动和连接的组间差异。我们还将区域偏移与连接进行了相关性分析。
正如预期的那样，患者的（瘤周）活动明显升高，患者的聚类系数高于对照组，而特征向量中心性低于对照组。在组水平上，区域高活动与对照组和患者的高聚类相关。然而，患者内分析显示，脑活动和聚类的区域偏差之间存在负相关，即病理性高活动与低网络聚类相关，而具有“正常”活动水平的区域则表现出高网络聚类。
我们的结果表明，病理性活动和连接在脑胶质瘤中以复杂的方式共同定位。这一发现与我们对疾病进展和认知症状的理解有关。
