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In 121 SEEG seizures from 35 patients, discharge slowing preceded offset without a detected amplitude decline, but offset scaling remained unresolved

We examined whether ictal SEEG discharges slow before clinical seizure offset, whether amplitude declines, and whether the patterns distinguish homoclinic (SH) from SNIC offset scaling. In the primary analysis, 121 seizures from 35 patients had at least eight detected discharges in the final 20 s. Median discharge rate fell from 3.66 Hz for the first five intervals to 2.01 Hz for the last five. Patient-mean Spearman rho between inter-discharge interval and time was +0.19 (p = 1e-5); the mean log2 ratio of the last five to first five intervals was +0.63 (about 1.55-fold, p = 3e-5). The 20–40 s control window showed no significant ISI trend, and final-minus-control differences were significant. Amplitude did not show a significant decline in the final window (patient-mean rho = -0.02, p = 0.62); 82/121 seizures slowed while amplitude remained above half, while 3/121 showed a SupH-like pattern. A constant-ISI model was preferred in 75/121 seizures. Among the 46 cases where a divergent model won, log (SH-like) won in 21 and inverse-square-root (SNIC-like) in 25; the difference was not significant (p = 0.07). The primary analysis showed no clear ISI divergence in the final 2 s. Threshold and channel sensitivity analyses had the same direction. The analysis used one channel per seizure from one center, clinical offset annotations, a simple detector not validated against expert marks, and 20 s windows; its results do not identify SH versus SNIC or establish true divergence.

SEEG · epilepsy · seizure offset · ictal discharges · inter-discharge interval · seizure dynamics · bifurcation · OpenNeuro ds004100

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References

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  1. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    OpenNeuro ds004100 v1.1.3 supplied the ictal SEEG EDF files, seizure onset and offset annotations, and channel status labels used in this analysis.

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