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...

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Detalles Bibliográficos
Autores principales: Meyer-Baese, Anke, Jütten, Kerstin, Meyer-Baese, Uwe, Amani, Ali Moradi, Malberg, Hagen, Stadlbauer, Andreas, Kinfe, Thomas, Na, Chuh-Hyoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216571/
https://www.ncbi.nlm.nih.gov/pubmed/37345051
http://dx.doi.org/10.3390/cancers15102714

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