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Adjacent bipolar subtraction reduced median 30 to 80 Hz log power exponents relative to common average spectra in two resting SEEG records

This study tested reference effects on log power exponents in two resting SEEG records from patients with epilepsy. The source was OpenNeuro ds005670, version 1.0.0. The test used 400 seconds per record and 371 adjacent contact pairs. The fit used 30 to 80 Hz and excluded 48 to 52 Hz. Adjacent bipolar subtraction reduced the median paired exponent by 0.399 and 0.688 relative to common average pair spectra. Median absolute changes across time splits within one reference were 0.046 to 0.067. Pair rank agreement between references was 0.587 and 0.678. The effect remained with other fit ranges, robust fitting, and voltage exclusions. An added check removed flagged contacts from both the pairs and the common average. The known cross spectrum identity accounted for the exponent change. The package includes complete derived spectra, code, source hashes, quality checks, figures, and reproduction instructions. Full source extraction and analysis repeats gave identical main files. The fitted slopes do not isolate aperiodic activity. The study does not establish population or clinical effects.

stereo-EEG · SEEG · bipolar reference · common average reference · spectral exponent · power spectrum · cross spectrum · reference sensitivity

Admitted 3 citing publications

References

5
  1. usesReference changes alter shaft correlation ranks more than time splits in two public resting SEEG records sci:sha256:d8f7fd1d17b47f5f4da5358a99b7fd7b15ee388e10f1df09e419d5b6891a4b70

    This publication supplied the EDF reader, retrieval script, source metadata, source release record, and annex hashes. These files enabled new spectral extraction from the full source EDF files. Its numerical correlation results were not used as input data.

  2. usesdoi:10.18112/openneuro.ds005670.v1.0.0

    Source SEEG recordings and metadata for both analyzed records; the publication preserves their source hashes and retrieval recipe.

  3. doi:10.1016/j.neuroimage.2018.08.020
  4. doi:10.1016/j.jneumeth.2024.110180
  5. doi:10.1038/s41593-020-00744-x

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