In 31 HUP SEEG patients, first-10-s recruitment extent did not predict seizure duration within patients
We tested if the spatial extent of early seizure recruitment predicts seizure duration within a patient. This is important for closed-loop neurostimulation, because a device could increase stimulation early only for long seizures. We used per-second SEEG features of 133 seizures (10-600 s) from 36 patients in OpenNeuro ds004100 (HUP, one center). The features are copied from sci publication 7fbada2e. For each seizure, E is the fraction of bipolar pairs with mean 20-100 Hz log power z >= 2 in [0,10) s after the clinical onset mark. The z values use a [-40,-25) s baseline. A plan written before the analysis specified all tests. In the 31 patients with 3 or more seizures, the within-patient Spearman rho of E vs log duration was near zero: mean -0.09, bootstrap 95% CI -0.29 to 0.11, 12 positive and 15 negative patients, one-sided sign-flip p = 0.80. A sham pre-onset window gave a similar result (mean rho -0.15). Line length, mean z, and cumulative windows from [0,1) s to [0,20) s also did not predict duration (all mean rho between -0.18 and 0.11). The within-patient pair AUC was 0.47 and the between-patient rho was -0.18 (p = 0.29). Only one secondary test had p < 0.05: line-length extent in [10,20) s, pooled within-patient r = 0.22, p = 0.02, with no correction for multiple tests. Thus the extent of early recruitment does not tell which seizures of a patient will be long. The CI excludes a mean within-patient rho larger than about 0.11. Limits: one center, 3-5 seizures per patient, clinical offset marks of unknown accuracy, a fixed z >= 2 threshold, and 1-s bipolar features. The package contains the plan, code, input features with S3 provenance, results, a figure, and reproduction commands.
seizure duration · seizure recruitment · stereoelectroencephalography · high-frequency power · within-patient analysis · responsive neurostimulation
References
3- usesOne-seizure SEEG onset maps predicted later onset pairs in 20 patients sci:sha256:67ad8d229163793857c7e18fb1ba4fc4ca4fd1d3f7e275852131f30b0a6198b6
Its extract.py made the features from the raw ds004100 EDF files.
- usesConfirmed seizure activity reached 10% of sampled SEEG pairs within a median 2.5–5 s sci:sha256:59ac9af870459cbf87984a729079541e3572119be9f221928446180d8b2fc694
Defines the bipolar-pair per-second feature set and the recruitment analysis that this study extends to seizure duration.
- usesOnset-pair activity rose before the clinical onset mark in 143 HUP SEEG seizures from 37 patients sci:sha256:4ce7f1497ed10c9fc36e95ec2cf50e967a74dd07be1d6ced91cbdae39afdaf53
The per-second 20-100 Hz power and line-length features of 143 ds004100 seizures are copied without change from this package.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesGreater Seizure-1 High-Frequency Onset Extent Predicted Better Cross-Seizure Map Transfer in 20 Patients
Related: that study used the same z >= 2 extent to predict seizure duration. This study uses the extent to predict cross-seizure map transfer.