• DE
  • Matters of Activity
  • About Us
    • Directors
    • Scientific Advisory Board
    • Partners
    • Equal Opportunity
    • Contact
  • Members
  • Research
    • Projects
      • Weaving
      • Filtering
      • Cutting
      • Material Form Function
      • Object Space Agency
      • Symbolic Material
    • (Junior) Research Groups
      • Adaptive Fibrous Materials
    • Laboratories and Displays
  • Activities
  • Early Career Support
  • Publications
  • Jobs
  • Virtual Cluster Space
  • DE
  • Activities
News | Cutting | Publication

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.

View the Paper

Date
13.2.2020
Contact
Cluster of Excellence
Matters of Activity
Image Space Material

Humboldt-Universität zu Berlin
Unter den Linden 6
10099 Berlin
Newsletter

You can subscribe to our Newsletter → here. By subscribing, you agree to our Privacy Policy.

Links
  • → For Members
  • → Legal Notice
  • → Privacy Policy
  • Contact
  • Newsletter
  • For Members
  • Legal Notice
  • Privacy Policy