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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| 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 |