Fekonja Lucius S, Wang Ziqian, Doppelbauer Lea, Vajkoczy Peter, Picht Thomas, Pulvermüller Friedemann, Dreyer Felix R
Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany; Cluster of Excellence: "Matters of Activity. Image Space Material", Humboldt University, Berlin, Germany.
Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Cortex. 2021 Nov;144:1-14. doi: 10.1016/j.cortex.2021.08.002. Epub 2021 Sep 2.
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.
脑肿瘤会导致大脑网络出现局部结构损伤。此外，脑肿瘤还会影响距离病灶较远的大脑功能网络。在本研究中，我们分析了世界卫生组织（WHO）II-IV级胶质瘤对灰质和白质的影响与语言功能受损之间的关系。在一项对60例患者（14例失语患者和46例非失语患者）的回顾性分析中，基于体素的病变-症状映射（VLSM）被用于识别与患者在亚琛失语测试（AAT）子测试中的表现相关的灰质（GM）和白质（WM）中的肿瘤诱导病变。针对基于图谱的灰质和白质受累情况与不同语言模式的关系，对显著簇进行了分析。VLSM分析表明，一个覆盖白质和灰质的后颞周簇对各子测试平均的AAT表现有显著贡献。在考虑单个AAT子测试时，可以观察到用于分析代币测试、图片命名和语言理解结果的显著簇之间有大量重叠。白质簇的交集反映了颞周区域在语言功能中的总体重要性，与灰质参与情况类似。特别是Heschl回、颞上回、下纵束和中纵束持续保持的高比例，以及弓状束和额枕下束，都突出了后颞周区域对语言功能的重要性。
