Elevated Ictal Brain Network Ictogenicity Enables Prediction of Optimal Seizure Control.

ABSTRACT: 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 between functional connectivity (FC) of healthy individuals and those with epilepsy. Furthermore, BNI has also been used to quantify and predict the outcome of epilepsy surgery based on FC extracted from pre-operative ictal intracranial electroencephalography (iEEG). This modeling framework is based on the assumption that the inferred FC provides an appropriate representation of an ictogenic network, i.e., a brain network responsible for the generation of seizures. However, FC networks have been

SUBMITTER: Lopes MA 

PROVIDER: S-EPMC5837986 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature