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Controllability and Robustness of Functional and Structural Connectomic Networks in Glioma Patients
SIMPLE SUMMARY: Gliomas are known to impact on large-scale networks beyond the tumor location, but it is unknown how the tumor affects controllability and robustness of neural networks. We applied advanced control theory algorithms on connectivity data of structural and functional networks of progno...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216571/ https://www.ncbi.nlm.nih.gov/pubmed/37345051 http://dx.doi.org/10.3390/cancers15102714 |