Department of Cognitive Neuropsychology, Tilburg University, Tilburg, Netherlands.
Department of Neurosurgery, Clinical Imaging Tilburg, Elisabeth-TweeSteden Hospital, Tilburg, Netherlands.
Neural Plast. 2017;2017:3530723. doi: 10.1155/2017/3530723. Epub 2017 Aug 3.
Focal brain lesions can alter the morphology and function of remote brain areas. When the damage is inflicted more slowly, the functional compensation by and structural reshaping of these areas seem to be more effective. It remains unclear, however, whether the momentum of lesion development also modulates the functional network topology of the remote brain areas. In this study, we compared resting-state functional connectivity data of patients with a slowly growing low-grade glioma (LGG) with that of patients with a faster-growing high-grade glioma (HGG). Using graph theory, we examined whether the tumour growth velocity modulated the functional network topology of remote areas, more specifically of the hemisphere contralateral to the lesion. We observed that the contralesional network topology characteristics differed between patient groups. Based only on the connectivity of the hemisphere contralateral to the lesion, patients could be classified in the correct tumour-grade group with 70% accuracy. Additionally, LGG patients showed smaller contralesional intramodular connectivity, smaller contralesional ratio between intra- and intermodular connectivity, and larger contralesional intermodular connectivity than HGG patients. These results suggest that, in the hemisphere contralateral to the lesion, there is a lower capacity for local, specialized information processing coupled to a higher capacity for distributed information processing in LGG patients. These results underline the utility of a network perspective in evaluating effects of focal brain injury.
脑内局灶性病变可改变远隔脑区的形态和功能。当损伤缓慢发生时,这些区域的功能代偿和结构重塑似乎更为有效。然而,病变发展的速度是否也会调节远隔脑区的功能网络拓扑结构仍不清楚。在这项研究中,我们比较了生长缓慢的低级别胶质瘤(LGG)患者和生长较快的高级别胶质瘤(HGG)患者的静息状态功能连接数据。我们使用图论检查了肿瘤生长速度是否调节了病变对侧半球的远程脑区的功能网络拓扑结构。我们观察到,两组患者的对侧网络拓扑结构特征存在差异。仅基于病变对侧半球的连接,就可以以 70%的准确率对患者进行正确的肿瘤分级分组。此外,与 HGG 患者相比,LGG 患者的对侧半球内模块连接性较小,内模块与外模块连接性的比值较小,外模块间连接性较大。这些结果表明,在病变对侧半球,LGG 患者局部、专门信息处理的能力较低,而分布式信息处理的能力较高。这些结果强调了从网络角度评估局灶性脑损伤影响的有效性。