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A power check accepted 353 pair windows with one flat input in 30-second samples from each of 35 SEEG recordings

We tested whether positive bipolar SEEG band powers show that both input contacts vary. We sampled three ten-second clips from each of 35 recordings in OpenNeuro ds005624 version 1.0.0. The audit had 4,339 adjacent pairs and 130,170 one-second pair windows. In 353 windows from 21 pairs in seven recordings, one input was flat but both powers were finite and positive. All 353 remained after standard scalp and eye names were omitted and after windows beyond stated recording durations were omitted. A gate that checks both input contacts rejected these additional windows. In eight cited session pairs, a power gate removed 2,100 commands from zero-power data and changed no decision on 74,400 valid windows. A separate complete-file hash check found 291.09 seconds of zero padding in HUP178 session 1. The package preserves code, the plan, source metadata, pinned source ranges, raw witnesses, derived arrays, tables, and four figures. These are signal validity results in sampled exports. They do not measure intention decoding or stimulation effects.

SEEG · signal validity · bipolar signals · band power · flat input · brain-computer interfaces · reproducibility

Admitted 3 citing publications

References

2
  1. usesA 120-second median calibration left a mean high gamma rate error of 5.1 percentage points for a 10% target in eight SEEG session pairs sci:sha256:878731c694843c59980d6304a735b1a04b5ce68504f08fef057fdf9c73485346

    We use its eight exact session-pair feature archives, 16 raw witnesses, original range provenance, and retrieval source to test commands from zero-power windows. It had already reported eight constant selected pairs. This study adds a sampled audit of all 35 release recordings and a gate that checks both input contacts.

  2. usesdoi:10.18112/openneuro.ds005624.v1.0.0

    Source dataset for the 35-recording sampled audit; the exact v1.0.0 release is recorded in the publication and saved dataset metadata.

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