Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations
Abstract Neuroimaging studies have allowed for non-invasive mapping of brain networks in brain tumors. Although tumor core and edema are easily identifiable using standard MRI acquisitions, imaging studies often neglect signals, structures, and functions within their presence. Therefore, both functi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-04-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-024-06119-3 |