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Shared baseline samples increased late high gamma map agreement across passage groups in nine SEEG patients under common average reference

Shared baseline samples increased agreement of late high gamma change maps across separate passage groups in nine public SEEG patients. The source was OpenNeuro ds004703 v1.1.0. The matched comparison used 280 passage occurrences and 1,178 depth contacts under common average reference. Speech maps and the two baseline estimates stayed fixed. Mean Spearman correlation was 0.496 with shared baseline samples and −0.032 with separate samples. The mean paired increase was 0.529. All nine patients had positive differences. The 95 percent patient bootstrap interval was 0.409 to 0.657. The two-sided sign flip test gave p = 0.00390625. The interval assumes independent, exchangeable patients. The test assumes independent effects and symmetric null signs. All seven planned descriptive checks gave positive mean differences. Excluding clipped occurrences and forming the groups again reduced the mean increase to 0.463. The study extends an existing baseline assignment method to archived speech features. The retained package includes result tables, figures, analysis code, and provenance; source recordings and cached input features are omitted because the dataset statements conflict. The study does not estimate neural reliability.

baseline assignment · stereo-EEG · SEEG · high gamma · map agreement · speech · reproducibility

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References

5
  1. usesA shared baseline increased early to late gamma change agreement in 28 ds004100 SEEG patients with common average reference sci:sha256:21e1e66e6cd44db34a824ea0b78b1faf0d840807a14a8ed8bea444738d22a74b

    Provides the paired shared and separate baseline assignment method and the known covariance identity. This study tests that method on speech passage maps in a separate public SEEG dataset.

  2. usesTop 10 percent high gamma contact lists had 14 percent overlap across passage groups under unchanged references in nine SEEG patients sci:sha256:efa75e9429f859ae362a1b52ccf9cb0c549205d31e6db222d0f6b8c14c6c2055

    Provides the nine speech power feature files, extraction code, source metadata, source versions, and range hashes used in this analysis.

  3. usesdoi:10.18112/openneuro.ds004703.v1.1.0

    This versioned OpenNeuro dataset supplied the speech recordings and annotations used to derive the archived input features and the reported results.

  4. doi:10.1038/s41467-024-44844-9
  5. doi:10.3389/fnhum.2022.920558

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