Department of Neurosurgery, International Neuroscience Institute, Hannover, Germany; Leibniz Institute for Neurobiology, Magdeburg, Germany.
Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands.
World Neurosurg. 2020 Jun;138:e66-e71. doi: 10.1016/j.wneu.2020.01.177. Epub 2020 Jan 31.
Measuring functional connectivity (FC) and resting state networks (RSNs) using resting state functional magnetic resonance imaging is a method of preoperative planning in patients with brain tumors. However, the baseline FC and RSNs are altered in patients with brain tumors. In this study, we examined changes in inter-network FC in patients with brain tumors.
We performed region of interest (ROI) analysis of FC in 34 patients with supratentorial gliomas and 14 healthy subjects. We performed bivariate correlation analyses at the level of each subject. Resulting correlations were Fischer Z-transformed. The used nodes included 132 ROIs from the automated anatomical labeling atlas in addition to 32 ROIs representing the different functional brain networks. We investigated second-level effects by contrasting dummy encoded covariates representing the effects of group membership on functional connectivity. The significant 2-sided P value with corrected false discovery rate was set to 0.05. We set the t contrast between the group of patients with brain tumors and the group of healthy subjects to detect the effects of tumors on inter-network connectivity.
Overall, the inter-network FC was significantly higher in patients with brain tumors compared with healthy subjects. The anterior and posterior cerebellar networks, as well as the supratentorial network, showed significantly higher connectivity in patients with brain tumors than in healthy subjects.
Although brain tumors affect the FC and RSNs, the current study showed higher baseline inter-network connectivity in patients with brain tumors, which could indicate an intrinsic neural compensatory mechanism.
使用静息态功能磁共振成像测量功能连接（FC）和静息态网络（RSN）是脑肿瘤患者术前规划的一种方法。然而，脑肿瘤患者的基线 FC 和 RSN 会发生改变。在本研究中，我们研究了脑肿瘤患者网络间 FC 的变化。
我们对 34 例幕上胶质瘤患者和 14 例健康受试者进行了感兴趣区（ROI）的 FC 分析。我们对每个受试者的水平进行了双变量相关分析。得到的相关性经过 Fisher Z 转换。使用的节点包括自动解剖标记图谱中的 132 个 ROI，以及代表不同功能脑网络的 32 个 ROI。我们通过对比代表组间成员功能连接效应的哑变量编码协变量来研究二级效应。校正后的错误发现率的双侧 P 值设为 0.05。我们在脑肿瘤患者组和健康受试者组之间设置 t 检验，以检测肿瘤对网络间连接的影响。
总体而言，脑肿瘤患者的网络间 FC 明显高于健康受试者。与健康受试者相比，脑肿瘤患者的前、后小脑网络以及幕上网络的连接性更高。
尽管脑肿瘤会影响 FC 和 RSN，但本研究显示脑肿瘤患者的基线网络间连接性更高，这可能表明存在内在的神经代偿机制。
