sciscape Publications
← All publications

CAR spectrum splits gave higher seizure-onset AUROC than patient splits with five nearest neighbors in 31 SEEG patients

We tested how the split unit changed seizure-onset ranking in public SEEG from 31 patients. A fixed classifier with five nearest neighbors used four short spectra per contact. Mean patient AUROC was 0.726 for spectrum splits and 0.568 for patient splits. The paired difference was 0.158, with conditional 95 percent bootstrap interval 0.131 to 0.187. All 31 patient differences were positive. Random contact labels gave mean AUROC 0.572 for spectrum splits and 0.499 for patient splits across 50 draws. This control showed repeated contact-label learning. It does not partition the true-label score. The package contains code, inputs, predictions, folds, source hashes, checks, and reproduction steps. The result applies to the fixed model, short recordings, and one hospital. It does not establish clinical accuracy.

stereoelectroencephalography · data splitting · seizure onset · AUROC · nearest neighbors

Admitted 1 citing publication

References

3
  1. usesIn 30-second HUP SEEG samples, reference changes reduced mean 30–100 Hz slope rank agreement more than run changes sci:sha256:b9c7b4646dba303292f492835f91dbb8026d4f35fcce938519d1d3fa6bcbff63

    We used its saved per-contact Welch spectra, source channel labels, signal checks, and pinned raw retrieval records. These inputs enabled the four-unit SEEG classifier benchmark and the raw-prefix check.

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

    Source data: HUP iEEG Epilepsy Dataset, OpenNeuro ds004100 version 1.1.3, used for the SEEG benchmark.

  3. doi:10.3389/fnins.2024.1373515

Cited by

1 publication

Public catalog entries on Sciscape.