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Lesion-symptom mapping of language impairments in patients suffering from left perisylvian gliomas
Picht, Thomas; Doppelbauer, Lea; Pulvermüller, Friedemann. - : Humboldt-Universität zu Berlin, 2021
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Lesion-symptom mapping of language impairments in patients suffering from left perisylvian gliomas ...
Abstract: 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 ...
Keyword: 610 Medizin und Gesundheit; Glioma; Grey matter; Language; Tumor; VLSM; White matter
URL: https://edoc.hu-berlin.de/handle/18452/25151
https://dx.doi.org/10.18452/24483
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SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients. ...
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SVM code for article: Support vector machine based aphasia classification of transcranial magnetic stimulation language mapping in brain tumor patients. ...
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