Fig. 3
From: Identifying the epileptic network by linking interictal functional and structural connectivity
Higher structural connectivity among seizure regions. (A) Here, we obtained white matter tract connectivity estimates across all parcel pairs of interest (i.e., SOZ, SP, and control). We show that there is significantly increased white matter tract connectivity across cortical regions involved in seizure activity (SOZ-SP) compared to uninvolved (SOZ-control) (Wilcoxon matched-pairs signed rank test, p = 0.0073). (B) Here, we fit a model to time to involvement and white matter tract connectivity data to see if white matter tract connectivity could be informative of seizure spread time. Specifically, we fit a linear model on log transformed time to involvement and white matter tract connectivity values, given that the data appeared to follow a logarithmic fit. We show that slope of the line of best fit of the log-transformed data is significantly nonzero (Y = − 0.6583∗X + 0.7611, p = 0.0008). In other words, higher white matter tract connectivity is significantly negatively correlated with seizure spread time, suggesting a role for structural connectivity patterns in seizure spread and the utility of DTI in elucidating the epileptic network in patients implanted with cortical grid and depth electrodes. Abbreviations: SOZ - seizure onset zone, SP - primary seizure spread zone.
