TMS Language Mapping Analysis Revisited
A Preprint by Ziqian Wang, Lucius Samo Fekonja, Felix R. Dreyer, Peter Vajkoczy and Thomas Picht
Machine learning classification of 90 patients reveals distinct reorganization pattern in aphasic patients. Repetitive TMS (rTMS) allows to non-invasively and transiently disrupt local neuronal functioning. Its potential for mapping of language function is currently explored.
Given the inter- individual heterogeneity of tumor impact on the language network and resulting rTMS derived functional mapping, the article proposes to use machine learning strategies to classify potential patterns of functional reorganization.
Date
13.2.2020