TY - JOUR

T1 - Quantitative characteristics of spike-wave paroxysms in genetic generalized epilepsy

AU - Zibrandtsen, Ivan C.

AU - Nielsen, Jonas M.

AU - Kjaer, Troels W.

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

KW - Absence

KW - Connectivity

KW - Entropy

KW - Epilepsy

KW - Spike-wave-complexes

KW - Time-frequency analysis

U2 - 10.1016/j.clinph.2020.03.006

DO - 10.1016/j.clinph.2020.03.006

M3 - Journal article

C2 - 32299007

AN - SCOPUS:85083058225

VL - 131

SP - 1230

EP - 1240

JO - Clinical Neurophysiology

JF - Clinical Neurophysiology

SN - 1388-2457

IS - 6

ER -