Elevated Ictal Brain Network Ictogenicity Enables Prediction of Optimal Seizure Control

Recent studies have shown that mathematical models can be used to analyze brain networks by quantifying how likely they are to generate seizures. In particular, we have introduced the quantity termed brain network ictogenicity (BNI), which was demonstrated to have the capability of differentiating b...

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Detalles Bibliográficos
Autores principales: Lopes, Marinho A., Richardson, Mark P., Abela, Eugenio, Rummel, Christian, Schindler, Kaspar, Goodfellow, Marc, Terry, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837986/
https://www.ncbi.nlm.nih.gov/pubmed/29545769
http://dx.doi.org/10.3389/fneur.2018.00098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837986/
https://www.ncbi.nlm.nih.gov/pubmed/29545769
http://dx.doi.org/10.3389/fneur.2018.00098

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