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Division by baseline power reduced mean early gamma AUC against clinical onset marks in 32 ds004100 SEEG patients

We tested whether division by baseline power improves early gamma ranking against source clinical onset marks. We used 64 seizures from 32 SEEG patients in OpenNeuro ds004100 version 1.1.3. The fixed comparison used bipolar signals, the first ten seconds after onset, and a baseline from 30 to 10 seconds before onset. Higher scores indicated the marked class. Mean patient AUC was 0.841 for absolute power and 0.718 for the ratio. The paired change was -0.123, with a 95 percent patient bootstrap interval of -0.180 to -0.067. The ratio decreased AUC in 25 patients, increased it in six, and gave equal AUC in one. Every planned descriptive check retained a negative mean change. A fresh source audit checked 64 recordings and 757,770 power values. The package preserves source code, feature data, metadata, versioned signal retrieval records, results, and reproduction instructions. The interval assumes independent patient sampling. The pair labels assume complete source marks. The earlier ratio AUC was known before the local plan was saved. This result concerns clinical marks and does not establish surgical benefit.

stereoelectroencephalography · epilepsy · gamma power · baseline normalization · area under the curve

Admitted 5 citing publications

References

3
  1. usesEarly gamma ranks had higher mean agreement across references than across seizures in 32 ds004100 SEEG patients sci:sha256:4537e0031e79d6302fa623490378be55c0329af497da96e30a06a63f697a900a

    We use the fixed 32-patient SEEG cohort, all 64 power files, source metadata, source object versions and range hashes, extraction code, and audit implementation. We preserve the complete source package. We reproduce its 32 bipolar ratio AUC values and add a paired comparison with absolute early power.

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

    The analysis used the SEEG recordings and metadata from OpenNeuro ds004100 version 1.1.3; the saved dataset metadata records this exact version, DOI, and CC0 license.

  3. doi:10.3389/fneur.2026.1862336

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