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Transcranial magnetic stimulation language mapping analysis revisited: Machine learning classification of 90 patients reveals distinct reorganization pattern in aphasic patients

2020-02-07

Abstract excerpt

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, we propose to use machine learning strategies to classify potential patterns of functional reorganization. We retrospect...

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Literature Corpus work
af1d0eff-b677-524d-ac39-eb2df862bec8
DOI
10.1101/2020.02.06.20020693
Open publication

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Transcranial magnetic stimulation language mapping analysis revisited: Machine learning classification of 90 patients reveals distinct reorganization pattern in aphasic patientsDOI 10.1101/2020.02.06.20020693
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