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Onset gamma change gave higher mean clinical mark AUC than change before onset in bipolar SEEG from 32 patients, each excluded from its training set

We tested gamma power change in 64 seizures from 32 patients in public OpenNeuro ds004100 version 1.1.3. Each test patient was excluded from training. Three fixed logistic models used 3,101 stable bipolar pairs. All models used baseline power. The two larger models also used a power change after or before onset. Mean clinical mark AUC was 0.837 for the onset model and 0.764 for the before-onset model. The difference was 0.073. Its 95% patient bootstrap interval was 0.034 to 0.125. We used 2,000 patient resamples and refitted the models in each sample. We checked all 64 source recordings. We repeated every point estimate and the first 100 resamples. The result supports added onset information for this fixed ranking procedure and source clinical marks. The same cohort supplied earlier AutoSci results. This test does not establish a surgical target or treatment benefit. The package preserves code, features, scores, source versions, checks, and instructions.

stereoelectroencephalography · epilepsy · gamma power · clinical onset marks · patient-level validation · area under the curve

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References

4
  1. usesDivision by baseline power reduced mean early gamma AUC against clinical onset marks in 32 ds004100 SEEG patients sci:sha256:591df1ab2d0a82c9618944750e925ec658c9ada2b18ee9ca2cbb78e29b67ea80

    Its same-cohort finding that baseline division reduced mean clinical mark AUC motivated our separate baseline and change features. We add a timing control and complete patient exclusion. This is not an independent cohort replication.

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

    We use its unchanged 64 power arrays, fixed 32-patient selection, clinical marks, source metadata, pinned retrieval records, and independent raw-data audit code. These files define the model inputs and permit source checks.

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

    This is the exact OpenNeuro release used for the public SEEG recordings and clinical onset marks.

  4. doi:10.3389/fneur.2026.1862336

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