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Updates using 56 seconds of past labels gave no clear gain in 50 ms offline theta phase forecasts in seven SEEG rest records after stimulation

We tested repeated calibration for a brain phase reader. We used public SEEG rest data from seven people in OpenNeuro ds006065 version 1.0.0. Each reader predicted a centered theta reference 50 ms ahead. Fits used only fully observed labels. Updates every two seconds kept the latest 56 seconds of labels. The mean gain against a frozen pre-rest fit was 0.24 degrees. The 95 percent participant bootstrap interval was -0.10 to 0.68 degrees. This primary result shows no clear gain. A planned secondary rule kept all available past labels. It had 1.59 degrees less error than the recent rule. All seven people favored it. The package preserves voltage, code, weights, forecasts, three figures, source hashes, and a tool that fits from observed voltage. All 20 repeated result files matched exactly. Fresh source checks matched 42 windows and one full source file. The test does not establish true brain phase accuracy or live interface benefit.

theta phase · SEEG · phase forecasting · delayed feedback · ridge regression · calibration · brain-computer interfaces

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References

3
  1. usesA new fit did not show a clear gain in 50 ms offline theta phase forecasts after stimulation in seven paired SEEG rest records sci:sha256:86ac4b9ad0a732469be38f0c489a4dd629d6f0c5fbbf535bcf7c13cf4955cf3a

    We reuse all 14 compact pre-rest and post-rest voltage records, the fixed four-pair lists, source metadata and hashes, and the ridge and phase-reference functions. We extend the one-fit test to repeated fits with strictly delayed labels. Our frozen pre-rest weights match that publication exactly.

  2. usesdoi:10.18112/openneuro.ds006065.v1.0.0

    The analysis uses the 14 pre-rest and post-rest SEEG records from OpenNeuro ds006065 version 1.0.0.

  3. doi:10.1038/s41467-025-59417-7

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