Quantitative characteristics of spike-wave paroxysms in genetic generalized epilepsy
Research output: Contribution to journal › Journal article › Research › peer-review
Objective: To characterize generalized spike-wave paroxysms (GSW) in children with generalized genetic epilepsy (GGE). Methods: We annotated 15–19 channel scalp EEGs from a retrospective cohort from patients with a variety of GGE syndromes. Connectivity, entropy, frequency, power, spike-amplitudes were compared with a normal baseline activity and analyzed for the effect of age and sex. Cluster analysis was used to group spike-topographies between patients. Results: In total, 864 GSWs from 100 patients aged 2–18 were analyzed. Age had a significant effect on peak frequency, entropy and connectivity. Female sex was associated with significantly higher probability of positive responsiveness to photic stimulation (OR 4.28, CI [1.65, 11.73], p = 0.0036). Entropy decreases significantly during GSW (D = −0.29, CI [−0.31, −0.27], p ≪ 0.0001) and connectivity significantly increases (D = 0.39, CI [0.36, 0.40], p ≪ 0.0001). Within patient spike-voltage maps exhibit remarkable consistency between spikes. Spike-topographies cluster together to predict age, connectivity and entropy. Conclusions: A quantitative characterization is possible and reveals significant relationships between age, sex and spike characteristics and multidimensional EEG features. Significance: Quantitative GSW characterization can capture aspects from traditional qualitative GSW analysis while being unaffected by intra- and interrater variation and this may be useful for multidimensional predictors of patient outcomes in GGE in the future.
Original language | English |
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Journal | Clinical Neurophysiology |
Volume | 131 |
Issue number | 6 |
Pages (from-to) | 1230-1240 |
ISSN | 1388-2457 |
DOIs | |
Publication status | Published - Jun 2020 |
- Absence, Connectivity, Entropy, Epilepsy, Spike-wave-complexes, Time-frequency analysis
Research areas
ID: 242410964