Cargando…
Epidemic models characterize seizure propagation and the effects of epilepsy surgery in individualized brain networks based on MEG and invasive EEG recordings
Epilepsy surgery is the treatment of choice for drug-resistant epilepsy patients. However, seizure-freedom is currently achieved in only 2/3 of the patients after surgery. In this study we have developed an individualized computational model based on MEG brain networks to explore seizure propagation...
Autores principales: | Millán, Ana P., van Straaten, Elisabeth C. W., Stam, Cornelis J., Nissen, Ida A., Idema, Sander, Baayen, Johannes C., Van Mieghem, Piet, Hillebrand, Arjan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904850/ https://www.ncbi.nlm.nih.gov/pubmed/35260657 http://dx.doi.org/10.1038/s41598-022-07730-2 |
Ejemplares similares
-
The role of epidemic spreading in seizure dynamics and epilepsy surgery
por: Millán, Ana P., et al.
Publicado: (2023) -
Virtual localization of the seizure onset zone: Using non-invasive MEG virtual electrodes at stereo-EEG electrode locations in refractory epilepsy patients
por: Juárez-Martinez, Erika L., et al.
Publicado: (2018) -
Optimization of epilepsy surgery through virtual resections on individual structural brain networks
por: Nissen, Ida A., et al.
Publicado: (2021) -
Localization of the Epileptogenic Zone Using Interictal MEG and Machine Learning in a Large Cohort of Drug-Resistant Epilepsy Patients
por: Nissen, Ida A., et al.
Publicado: (2018) -
Emergence of Modular Structure in a Large-Scale Brain Network with Interactions between Dynamics and Connectivity
por: Stam, Cornelis J., et al.
Publicado: (2010)