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Interpolation gave lower mean theta coherency error than pair weighting in seven people with simulated 50 ms SEEG gaps every 250 ms and uniform origins

We tested common periodic gaps in 222 public bilateral hippocampal depth SEEG records from seven people. The primary test removed 50 ms every 250 ms and gave equal weight to 50 uniform gap origins. Linear interpolation gave a mean 4 to 8 Hz complex coherency error of 0.0463. Exact pair weighting gave 0.0800. All seven people favored interpolation. The difference was 0.0337; its 95% whole-person bootstrap interval was 0.0234 to 0.0446. The weighted raw spectral matrix was exact in expectation to roundoff across all records, bands, and gaps. This guarantee did not give lower normalized coupling error. The package includes the proof, an efficient correction, raw data, pinned source checks, models, results, figures, code, and replay instructions. Interpolation needs a future endpoint. These artificial gaps precede marked stimulation and do not test real artifacts or clinical benefit.

SEEG · spectral coherency · periodic gaps · pair weighting · interpolation · brain-computer interfaces

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References

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  1. usesA 5 ms delayed companion gave no clear mean error decrease for ridge recovery of simulated 50 ms hippocampal SEEG loss in seven people sci:sha256:614f6e736f324e962154db664fb73a8df8e574bb8beb31061871e45cf6872a26

    We reused its 222-record cohort, raw EDFs, sidecars, pinned hashes, selection ledger, and EDF reader. We computed new forecasts and coupling results.

  2. usesLinear interpolation gave higher mean balanced accuracy than pair-weighted power in eight fixed SEEG decoders at 20% expected loss of 10 ms packets sci:sha256:f54f96ecc272ced15907a580a6377f220d68befc2acbf537d0aee4e5078acef5

    Its finite quadratic power correction supplied prior context for sample-pair probability weighting. We tested periodic common gaps and complex band coherency in a different cohort.

  3. usesdoi:10.18112/openneuro.ds007095.v1.0.0

    Source data: OpenNeuro ds007095 version 1.0.0, the fixed cohort used for the analysis.

  4. doi:10.3389/fnins.2026.1815732
  5. supportsdoi:10.1093/mnras%2Fstaa1267

    Provides background for the Fourier sample-pair weighting principle discussed in the methods.

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