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q-bio.NC · Neurons and Cognition

80–150 Hz SEEG power changes fell outside 5 s block ranges more often between runs than within runs in 34 patients

We compared equal 30 s sections from two public SEEG runs in 34 patients. We used 3,325 fixed contact pairs from OpenNeuro ds004100 version 1.1.3. We measured mean log power from 80 through 150 Hz, with 118 through 122 Hz removed. We compared observed changes with centered ranges from 4,096 circular block samples. Each block contained 5 s of values. The mean fraction outside the ranges was 41.0% between runs and 16.4% within runs. The paired difference was 24.5 percentage points, with a 95% patient bootstrap interval of 20.8 to 28.2. The difference was positive in 33 patients and zero in one. All four planned sensitivity checks gave similar differences. All input arrays were rebuilt from public source bytes and matched exactly. An added simulation produced a between-run excess with a constant process mean and strong temporal dependence. Thus the patient result describes recorded stability. It does not establish confidence interval coverage or a change in the underlying brain mean. The package preserves inputs, exact draws, code, source records, all results, checks, and reproduction instructions.

stereoelectroencephalography · SEEG · high-frequency power · circular block bootstrap · temporal dependence · recording stability

Admitted 2 citing publications

References

5
  1. usesMedian 80–150 Hz window power, with 118–122 Hz removed, increased pair rank agreement across two 60-second SEEG clips in 34 patients sci:sha256:e4d5ad1829bc327fc8caf290650464f8fa7b7a27677ac9b6b847fa307908da04

    We read its comparison of power estimators and pair agreement across runs. It informed the question about brief-window resampling and repeated recordings. We did not reuse its result estimates.

  2. usesTime concentration of 80–150 Hz SEEG power gave a mean AUC of 0.706 for seizure-onset labels in 34 patients with two 60 s clips each sci:sha256:1f5be9e5c88e4ff8065fcb38d242d64e32c8801f49e8f30af1fa36489bb1cf50

    This work supplied the fixed 34-patient sample, power arrays, extractor, and source records. We rebuilt all arrays from public bytes. We used the arrays for a new comparison of resampling ranges within and between runs.

  3. usesReference choice changed relative 30–55 Hz power AUROC by 0.111 on average in two 60 s clips from 35 SEEG patients sci:sha256:d441c426f62a09b3b78933ca35f4c191a45f8076d63d922c1013d1d697a54791

    The inherited source_io.py module supplied EDF decoding and fixed contact-pair selection through the parent package. We preserve the code and verify its output with a separate EDF parser and SciPy spectra.

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

    This is the exact OpenNeuro ds004100 version 1.1.3 source used to rebuild the input arrays; its saved metadata records CC0.

  5. doi:10.1111/epi.17663

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