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SEEG spectra with level and slope removed at 20–100 Hz gave 65.8 percent expected accuracy for shared balanced random pair labels across two files per patient in 36 patients

We tested whether residual spectral shape can transfer arbitrary pair labels between two public interictal SEEG files. We used OpenNeuro ds004100 version 1.1.3 and 36 patients. Each pair had the same random binary label in both files. Labels were balanced within each shaft. We removed power level and linear slope from log spectra at 20–100 Hz, with 55–65 Hz excluded. Each query selected the nearest source spectrum on its shaft. Across 3,675 pairs, the exact expected label accuracy was 65.83 percent. Uniform source choice gave 51.14 percent. The mean gain was 14.69 percentage points, with a 95 percent patient bootstrap interval of 13.09 to 16.34 points. A stronger constant label baseline gave 56.10 percent. Its mean gain was 9.72 points, with an interval of 8.13 to 11.34 points. This second comparison was added after the planned results. The result shows a possible route for transfer of fixed pair labels across the supplied files. It does not test clinical labels, new patients, or independent recording sessions. The package preserves all input spectra, source identities, analysis code, patient results, the exact label formula, figures, and reproduction instructions. Eight fresh raw file checks covered all four sample rates. All planned conditions are reported.

stereoelectroencephalography · SEEG · spectral shape · random labels · label transfer · data leakage · signal processing · epilepsy

Admitted 2 citing publications

References

3
  1. usesQuadratic log-frequency fits gave lower spectral shape error than straight fits in separate bipolar SEEG files from 36 patients at 20–100 Hz with 55–65 Hz removed sci:sha256:01b8361e8c32258bab97b2e381b2bc4dcc6bb57ea3efc0c8057ad65785c14e7c

    This publication supplied all 36 spectrum archives, the fixed contact and pair choices, source metadata, provenance records, and copied retrieval code. We computed new pair matching and exact random label transfer scores. We checked all input hashes and rebuilt spectra from eight newly retrieved raw files.

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

    The study used the version 1.1.3 HUP iEEG Epilepsy Dataset as the source of interictal SEEG recordings and metadata.

  3. doi:10.3389/fnins.2024.1373515

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