Interhemispheric connections in the maintenance of language performance and prognosis prediction: fully connected layer-based deep learning model analysis.

Journal: Neurosurgical focus
PMID: 37283401

Abstract

OBJECTIVE: Language-related networks have been recognized in functional maintenance, which has also been considered the mechanism of plasticity and reorganization in patients with cerebral malignant tumors. However, the role of interhemispheric connections (ICs) in language restoration remains unclear at the network level. Navigated transcranial magnetic stimulation (nTMS) and diffusion tensor imaging fiber tracking data were used to identify language-eloquent regions and their corresponding subcortical structures, respectively.

Authors

  • Haosu Zhang
  • Kartikay Tehlan
  • Sebastian Ille
  • Maximilian Schwendner
    Klinik und Poliklinik für Neurochirurgie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland.
  • Zhenyu Gong
  • Axel Schroeder
  • Bernhard Meyer
    Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Germany.
  • Sandro M Krieg
    Klinik und Poliklinik für Neurochirurgie, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Deutschland. sandro.krieg@tum.de.

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