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Full section tests did not detect a mean block accuracy change after 96–104 Hz bin removal in six SEEG recordings of one film

We tested whether power near the 100 Hz mains harmonic affects a sparse SEEG reader. The data were six public recordings of one film from OpenNeuro ds003688. We kept full music-and-speech sections for testing. Readers selected eight contact pairs from training data only. Removal of the 96 to 104 Hz bins changed mean balanced accuracy from 61.59% to 61.38%. The observed change was -0.21 percentage points. A participant bootstrap gave a 95% interval from -0.85 to 0.48 points. The change was positive in 2 people and negative in 4. Removal of the same number of bins near 84 Hz gave 62.13%. Power at 98, 100, and 102 Hz alone gave 53.21%. The study reused a known cohort and is exploratory. Power near 100 Hz can include interference and brain activity. The block labels do not measure intended speech. The package has code, checked source hashes, spectral data, voltage examples, all fitted readers, test predictions, three figures, and reproduction instructions.

SEEG · spectral power · 100 Hz harmonic · frequency exclusion · sparse logistic regression · balanced accuracy · brain-computer interface · OpenNeuro

Admitted 12 citing publications

References

4
  1. Random splits gave higher mean speech and music block accuracy with eight contact pairs in six SEEG recordings of one film sci:sha256:072f5aa938e2b517feb5005f8060dfbfa31bf4aa3e4a118c8dd327af55fd776f

    [Legacy relation: reproduces] Independent full-signal retrieval and extraction reproduced all four original feature arrays and all 18 original participant accuracy scores across section, forward, and random splits.

  2. usesRandom splits gave higher mean speech and music block accuracy with eight contact pairs in six SEEG recordings of one film sci:sha256:072f5aa938e2b517feb5005f8060dfbfa31bf4aa3e4a118c8dd327af55fd776f

    Uses the six-person cohort, source metadata, extraction and sparse-reader code, original features for exact comparison, and original scores. New spectra and frequency exclusions were extracted again from complete public signals.

  3. usesdoi:10.18112/openneuro.ds003688.v1.0.7

    The analysis used six recordings from OpenNeuro ds003688 version 1.0.7.

  4. doi:10.1038/s41597-022-01173-0

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