Jin Lu, Li Chuzhong, Zhang Yazhuo, Yuan Taoyang, Ying Jianyou, Zuo Zhentao, Gui Songbai
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Front Oncol. 2021 Feb 26;11:617179. doi: 10.3389/fonc.2021.617179. eCollection 2021.
Prior investigations of language functions have focused on the response profiles of particular brain regions. However, the specialized and static view of language processing does not explain numerous observations of functional recovery following brain surgery. To investigate the dynamic alterations of functional connectivity (FC) within language network (LN) in glioma patients, we explored a new flexible model based on the neuroscientific hypothesis of core-periphery organization in LN.
Group-level LN mapping was determined from 109 glioma patients and forty-two healthy controls (HCs) using independent component analysis (ICA). FC and mean network connectivity (mNC: l/rFCw, FCb, and FCg) were compared between patients and HCs. Correlations between mNC and tumor volume (TV) were calculated.
We identified ten separate LN modules from ICA. Compared to HCs, glioma patients showed a significant reduction in language network functional connectivity (LNFC), with a distinct pattern modulated by tumor position. Left hemisphere gliomas had a broader impact on FC than right hemisphere gliomas, with more reduced edges away from tumor sites (=0.011). mNC analysis revealed a significant reduction in all indicators of FC except for lFCw in right hemisphere gliomas. These alterations were associated with TV in a double correlative relationship depending on the tumor position across hemispheres.
Our findings emphasize the importance of considering the modulatory effects of core-periphery mechanisms from a network perspective. Preoperative evaluation of changes in LN caused by gliomas could provide the surgeon a reference to optimize resection while maintaining functional balance.
先前对语言功能的研究主要集中在特定脑区的反应模式上。然而，语言处理的专门化和静态观点并不能解释脑手术后功能恢复的众多观察结果。为了研究胶质瘤患者语言网络（LN）内功能连接（FC）的动态变化，我们基于LN核心-外围组织的神经科学假设探索了一种新的灵活模型。
使用独立成分分析（ICA）从109例胶质瘤患者和42名健康对照（HCs）中确定组水平的LN图谱。比较患者和HCs之间的FC和平均网络连接性（mNC：左/右FCw、FCb和FCg）。计算mNC与肿瘤体积（TV）之间的相关性。
我们从ICA中识别出10个独立的LN模块。与HCs相比，胶质瘤患者的语言网络功能连接性（LNFC）显著降低，且具有由肿瘤位置调节的独特模式。左半球胶质瘤对FC的影响比右半球胶质瘤更广泛，远离肿瘤部位的边缘减少更多（=0.011）。mNC分析显示，除右半球胶质瘤的lFCw外，所有FC指标均显著降低。这些改变与TV呈双重相关关系，具体取决于跨半球的肿瘤位置。
我们的研究结果强调了从网络角度考虑核心-外围机制调节作用的重要性。术前评估胶质瘤引起的LN变化可为外科医生在保持功能平衡的同时优化切除提供参考。
