Abstract
Objective: Interictal spikes are a characteristic feature of invasive electroencephalography (EEG) recordings in children with refractory epilepsy. Spikes frequently co-occur across multiple brain regions with discernable latencies, suggesting that spikes can propagate through distributed neural networks. The purpose of this study was to examine the long-term reproducibility of spike propagation patterns over hours to days of interictal recording. Methods: Twelve children (mean age 13.1 years) were retrospectively studied. A mean ± standard deviation (SD) of 47.2 ± 40.1 hours of interictal EEG recordings were examined per patient (range 17.5-166.5 hours). Interictal recordings were divided into 30-minute segments. Networks were extracted based on the frequency of spike coactivation between pairs of electrodes. For each 30-minute segment, electrodes were assigned a “Degree Preference (DP)” based on the tendency to appear upstream or downstream within propagation sequences. The consistency of DPs across segments (“DP-Stability”) was quantified using the Spearman rank correlation. Results: Regions exhibited highly stable preferences to appear upstream, intermediate, or downstream in spike propagation sequences. Across networks, the mean ± SD DP-Stability was 0.88 ± 0.07, indicating that propagation patterns observed in 30-minute segments were representative of the patterns observed in the full interictal window. At the group level, regions involved in seizure generation appeared more upstream in spike propagation sequences. Significance: Interictal spike propagation is a highly reproducible output of epileptic networks. These findings shed new light on the spatiotemporal dynamics that may constrain the network mechanisms of refractory epilepsy.
Original language | English (US) |
---|---|
Pages (from-to) | 898-910 |
Number of pages | 13 |
Journal | Epilepsia |
Volume | 60 |
Issue number | 5 |
DOIs | |
State | Published - May 2019 |
Keywords
- epilepsy surgery
- interictal spike
- invasive EEG
- network
- propagation
ASJC Scopus subject areas
- Clinical Neurology
- Neurology