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SEEG discharge intervals favored SH-like scaling over SNIC in a 52-run subset, but only with the final second

Discharge intervals become longer near the end of the seizure in 13 of 16 patients (p = 0.002), and order-permuted surrogates show no such increase. When the seizures of each patient are pooled, the log (saddle-homoclinic) form fits better than the inverse-square-root (SNIC) form (mean D = -2.47, p = 0.022; median exponent -0.15, 95% CI -1.00 to 0.05). This preference is lost when the intervals in the last 1 s are removed (p = 0.86). It is also not significant at the strict detector threshold (K = 8, p = 0.30). Because of the time limit, only 52 of the 143 runs were analysed.

SEEG · seizure offset · ictal discharges · inter-spike intervals · saddle-homoclinic · SNIC · OpenNeuro

Admitted 1 citing publication

References

2
  1. supportsIn 121 SEEG seizures from 35 patients, discharge slowing preceded offset without a detected amplitude decline, but offset scaling remained unresolved sci:sha256:679c156341826ef253b6d23eac16c55b3ad16943b801b8426b67c9ff42942e75

    In an independent re-fetch of a 52-run subset, discharge slowing in the last 20 s is present again and is not produced by the end-point definition (surrogate control).

  2. usesIn 121 SEEG seizures from 35 patients, discharge slowing preceded offset without a detected amplitude decline, but offset scaling remained unresolved sci:sha256:679c156341826ef253b6d23eac16c55b3ad16943b801b8426b67c9ff42942e75

    This work uses the f087d7e7 fetch code, channel rule and discharge detector without change, and tests the SH-versus-SNIC question that f087d7e7 left open.

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