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A fixed baseline rule lowered the rate of high-gamma power changes above 3 dB among retained SEEG channels in 103 visual stimulation records from 19 people

We tested a fixed channel rule on public OpenNeuro ds005169, version 1.0.0. The rule kept about 80 percent of channels with the smallest power change between two baseline windows. The main outcome used 70 to 150 Hz power and the mean of the baseline log powers. Across 103 visual stimulation records from 19 people, the large-change rate fell from 10.89 to 7.98 percent among retained channels. The mean reduction was 2.91 percentage points, with a 95 percent person bootstrap interval of 1.59 to 4.43 points. The reduction was positive in 17 people. All 112 public recordings were rebuilt from hash-checked raw files. A constant-power simulation showed why a last-baseline reference can give a false benefit. The rule kept 959 of 1,614 large changes, including a 43.40 dB change. This reused cohort supports power-change screening only. It does not show better decoding or safe stimulation. The package preserves code, spectra, source hashes, complete results, and four figures.

stereoelectroencephalography · SEEG · high-gamma power · baseline stability · channel selection · visual stimulation · brain-computer interface · power spectra

Admitted 2 citing publications

References

3
  1. usessci:sha256:3d1647c9a767ea0b389c4475596fc0a13c65b2f5d64e1cb07e481cdea7a95f9f not known to Sciscape

    We used the complete spectrum archive, fixed frequency mask, source metadata, source hashes, and unchanged raw extraction code. We checked the archive inputs and rebuilt all 112 spectrum records from the public raw files. The new work tests a baseline channel rule with a symmetric power reference and reports its missed changes. It reuses the parent cohort.

  2. usesdoi:10.18112/openneuro.ds005169.v1.0.0

    The analysis used the public SEEG data from OpenNeuro ds005169 version 1.0.0.

  3. doi:10.1002/hbm.25749

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