Waveform sharpness identifies the morphological phenotype of high-frequency oscillation-associated spikes in
Keisuke Maeda1, Shunta Yamaguchi1, Himari Tsuboi2
1Department of Clinical Physiology, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan.
Objective:
Interictal spikes carrying high-frequency oscillations (HFOs) mark epileptogenic activity, but the waveform features that independently distinguish HFO-associated spikes from neighboring non-HFO spikes remain unclear. We examined which morphological domains distinguish them in children with focal epilepsy, while accounting for within-patient clustering.
Methods:
In this retrospective single-center study, we analyzed 993 interictal spikes (619 HFO-associated, 374 control) from 20 children with focal epilepsy, sampled within ± 5 s of visually validated scalp ripple-band (80-250 Hz) HFOs during NREM sleep. Four a priori domains-sharpness (steepness), peak-to-peak amplitude, slow-wave area, and duration-were compared using mixed-effects logistic regression with a patient random intercept and population-averaged generalized estimating equations (GEE), complemented by within-patient effect sizes (Cliff's δ).
Results:
Sharpness was by far the strongest independent correlate of HFO presence (adjusted odds ratio per 1-SD increase, 7.41 [95% CI 5.16-10.64] in the mixed-effects model and 5.31 [3.35-8.41] in the GEE model) and was higher in HFO-associated spikes in all 20 patients. Peak-to-peak amplitude was not independent of sharpness after adjustment, slow-wave area showed modest association that was attenuated when normalized to spike size, and duration was not a robust independent marker. Findings were consistent across alternative steepness metrics and both models.
Conclusions:
HFO-associated spikes are defined primarily by waveform sharpness (steepness) rather than amplitude, consistent with sharpness reflecting the neuronal synchrony required for ripple generation.
Significance:
Waveform sharpness, obtainable from routine scalp EEG without dedicated HFO analysis, may provide a practical marker to enrich identification of HFO-likely epileptiform discharges.
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