Department of Radiology, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA.
Perlmutter Cancer Center, Brain and Spine Tumor Center, NYU Langone Health, 240 E 38th Street, New York, NY, 10016, USA.
J Neurooncol. 2021 Apr;152(2):347-355. doi: 10.1007/s11060-021-03706-w. Epub 2021 Feb 2.
Resting state functional magnetic resonance imaging (rsfMRI) is an emerging tool to explore the functional connectivity of different brain regions. We aimed to assess the disruption of functional connectivity of the Default Mode Network (DMN), Dorsal Attention Network(DAN) and Fronto-Parietal Network (FPN) in patients with glial tumors.
rsfMRI data acquired on 3T-MR of treatment-naive glioma patients prospectively recruited (2015-2019) and matched controls from the 1000 functional-connectomes-project were analyzed using the CONN functional toolbox. Seed-Based Connectivity Analysis (SBCA) and Independent Component Analysis (ICA, with 10 to 100 components) were performed to study reliably the three networks of interest.
35 patients with gliomas (17 WHO grade I-II, 18 grade III-IV) and 70 controls were included. Global increased DMN connectivity was consistently found with SBCA and ICA in patients compared to controls (Cluster1: Precuneus, height: p < 10; Cluster2: subcallosum; height: p < 10). However, an area of decreased connectivity was found in the posterior corpus callosum, particularly in high-grade gliomas (height: p < 10). The DAN demonstrated small areas of increased connectivity in frontal and occipital regions (height: p < 10). For the FPN, increased connectivity was noted in the precuneus, posterior cingulate gyrus, and frontal cortex. No difference in the connectivity of the networks of interest was demonstrated between low- and high-grade gliomas, as well as when stratified by their IDH1-R132H (isocitrate dehydrogenase) mutation status.
Altered functional connectivity is reliably found with SBCA and ICA in the DMN, DAN, and FPN in glioma patients, possibly explained by decreased connectivity between the cerebral hemispheres across the corpus callosum due to disruption of the connections.
静息态功能磁共振成像（rsfMRI）是一种新兴的工具，可用于探索不同脑区的功能连接。我们旨在评估胶质肿瘤患者默认模式网络（DMN）、背侧注意网络（DAN）和额顶网络（FPN）的功能连接中断情况。
对 2015 年至 2019 年期间前瞻性招募的未经治疗的胶质肿瘤患者和来自 1000 功能连接组项目的匹配对照组的 3T-MR rsfMRI 数据进行了分析，使用 CONN 功能工具箱进行了分析。采用种子连接分析（SBCA）和独立成分分析（ICA，10-100 个成分）可靠地研究了感兴趣的三个网络。
共纳入 35 例胶质瘤患者（17 例 WHO 分级 I-II 级，18 例分级 III-IV 级）和 70 例对照组。与对照组相比，患者的 SBCA 和 ICA 均显示出全局 DMN 连接增加（Cluster1：楔前叶，高度：p<10；Cluster2：胼胝体下区；高度：p<10）。然而，在后胼胝体区域发现了连接减少的区域，特别是在高级别胶质瘤中（高度：p<10）。DAN 在前额和枕叶区域显示出小区域的连接增加（高度：p<10）。对于 FPN，在楔前叶、后扣带回和额皮质区域发现了连接增加。在低级别和高级别胶质瘤以及根据 IDH1-R132H（异柠檬酸脱氢酶）突变状态分层时，均未发现感兴趣的网络连接存在差异。
在胶质瘤患者的 DMN、DAN 和 FPN 中，SBCA 和 ICA 可靠地发现了功能连接改变，这可能是由于胼胝体连接中断导致大脑半球之间的连接减少所致。
