Granger Causality Analysis of Interictal iEEG Predicts Seizure Focus and Ultimate Resection.

ABSTRACT:

Background

A critical conceptual step in epilepsy surgery is to locate the causal region of seizures. In practice, the causal region may be inferred from the set of electrodes showing early ictal activity. There would be advantages in deriving information about causal regions from interictal data as well. We applied Granger's statistical approach to baseline interictal data to calculate causal interactions. We hypothesized that maps of the Granger causality network (or GC maps) from interictal data might inform about the seizure network, and set out to see if "causality" in the Granger sense correlated with surgical targets.

Objective

To determine whether interictal baseline data could produce GC maps, and whether the regions of high GC would statistically resemble the topog

SUBMITTER: Park EH 

PROVIDER: S-EPMC5808502 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature