Brain tumors cause local structural impairments of the cerebral network. Moreover, brain tumors can also affect functional brain networks more distant from the lesion. In this study, we analyzed the impact of glioma WHO grade II-IV tumors on grey and white matter in relation to impaired language function. In a retrospective analysis of 60 patients, 14 aphasic and 46 non-aphasic, voxel-based lesion-symptom mapping (VLSM) was used to identify tumor induced lesions in grey (GM) and white matter (WM) related to patients’ performance in subtests of the Aachen Aphasia Test (AAT). Significant clusters were analyzed for atlas-based grey and white matter involvements in relation to different linguistic modalities.

VLSM analysis indicated significant contribution of a posterior perisylvian cluster covering WM and GM to AAT performance averaged across subtests. When considering individual AAT subtests, a substantial overlap between significant clusters for analysis of the token test, picture naming and language comprehension results could be observed.

The WM-cluster intersections reflect the overall importance of the perisylvian area in language function, similarly to GM participations. Especially the constant high percentages of Heschl's gyrus, superior temporal gyrus, inferior longitudinal and middle longitudinal fascicles, but also arcuate and inferior fronto-occipital fascicles highlight the importance of the posterior perisylvian area for language function.

脑肿瘤引起脑网络的局部结构损伤。此外，脑肿瘤还可以影响远离病灶的功能性脑网络。在这项研究中，我们分析了胶质瘤 WHO II-IV 级肿瘤对与语言功能受损相关的灰质和白质的影响。在对 60 名患者进行的回顾性分析中，14 名失语症患者和 46 名非失语症患者使用基于体素的病变症状映射 (VLSM) 来识别与患者在亚琛失语症测试 (AAT) 的子测试。分析了与不同语言模式相关的基于图谱的灰质和白质参与的重要聚类。

VLSM 分析表明，覆盖 WM 和 GM 的后外侧裂簇对跨子测试平均的 AAT 性能有显着贡献。在考虑单个 AAT 子测试时，可以观察到用于分析令牌测试、图片命名和语言理解结果的重要集群之间的大量重叠。

WM-cluster 交叉点反映了 perisylvian 区域在语言功能中的整体重要性，类似于 GM 参与。尤其是 Heschl 回、颞上回、下纵束和中纵束以及弓形和额枕下束的恒定高百分比突出了后外侧裂区对语言功能的重要性。