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Separate pair tests called false links in 99.43 percent of 100-pair SEEG beta searches under an independent phase null

We tested whether a calibrated SEEG pair test controls a search of many pairs. We used two-second beta windows from 35 public recordings and 21 participants in OpenNeuro ds006519 version 1.0.0. Each graph searched 100 fixed pairs from different source groups. The controls held channel magnitude spectra fixed. Each channel had one random phase vector shared by all its links. Separate 5 percent pair rank tests called false links in 99.43 percent of complete null graphs. The descriptive participant bootstrap 95 percent interval was 99.40 to 99.46 percent. Bonferroni gave 4.77 percent graph error. A graph maximum rank test gave 4.88 percent, with an interval of 4.65 to 5.12 percent. The paired decrease was 94.55 percentage points. Pair error remained near 5 percent. The graph correction is an established method. The contribution is a checked SEEG benchmark and graph test tool. A fresh rebuild matched all 35 feature archives. A separate replay matched all 44 scientific output files. The package preserves data, source hashes, code, graph traces, decisions, figures, and repeat instructions. The cohort and features are reused. The result applies to the complete independent phase null and offline beta projection. It does not prove neural connection truth, power under partial alternatives, useful live BCI control, or stimulation benefit.

multiple testing · graph error rate · familywise error · phase randomization · SEEG · intracranial EEG · statistical calibration · Fourier spectrum · brain-computer interface

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References

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  1. usesNative sample counts give excess correlation calls under an independent phase null in 2-second SEEG beta windows from 21 participants sci:sha256:57eed8340807f9a6c0ee0a20be060749718a0560d83b328d5e823b65095231f9

    This study reused all 35 compact Fourier input archives, the pinned raw file manifest, source metadata, and extraction code. It rebuilt every input from the public source. It tested searches of many pairs after the parent pair calibration benchmark.

  2. usesdoi:10.18112/openneuro.ds006519.v1.0.0

    The analysis uses 35 recordings from OpenNeuro ds006519 version 1.0.0; source file hashes and the pinned Git commit are recorded in the archived provenance.

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