Postoperative aphasia prediction in patients with language-eloquent tumors using nTMS mapping-based deep learning model analysis
Saved in:
| Main Authors: | Zixu Bao, Haosu Zhang, Maximilian Schwender, Axel Schröder, Bernhard Meyer, Sandro Krieg, Sebastian Ille |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Brain Stimulation |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1935861X24013421 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Postoperative aphasia prediction in patients with language-eloquent tumors using nTMS mapping-based deep learning model analysis
by: Zixu Bao, et al.
Published: (2025-07-01) -
Functional-guided frameless stereotactic biopsy of highly eloquent brain tumors
by: Maximilian Schwendner, et al.
Published: (2025-01-01) -
Occupational Influences on Corticospinal Tract Structure: A Comparative Study Using nTMS and Fiber Tracking
by: Haosu Zhang
Published: (2025-01-01) -
Cortical Excitability Measured with nTMS and MEG during Stroke Recovery
by: Jyrki P. Mäkelä, et al.
Published: (2015-01-01) -
nTMS in spinal cord injury: Current evidence, challenges and a future direction
by: Josephine Jung, et al.
Published: (2025-01-01)