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Nominal 90 percent phase limits covered 35.3 percent of blocks of ten forecasts against an offline target in seven SEEG rest records

We tested phase error limits in seven public SEEG rest records from OpenNeuro ds006065, version 1.0.0. A fixed reader predicted an offline theta phase target 50 ms ahead. Each person had four selected channel pairs. Forecasts occurred every 100 ms in stored sample order. The test had 9632 blocks, with ten forecasts per pair and block. Nominal 90 percent limits fitted for single forecasts covered 89.9 percent of individual targets. They covered all ten targets in 35.3 percent of blocks. Limits fitted on a separate block period covered 92.0 percent of blocks. The mean full width increased from 249.0 to 337.5 degrees. A full circle has a width of 360 degrees. Block limits returned a full circle for 59.7 percent of forecasts. All seven people had higher block coverage. A rank proof gives coverage only under exchangeable calibration and test blocks. That assumption was not established for these ordered records. The result supports tests that report both sequence coverage and phase precision. It does not show a stimulation benefit. The package contains voltage, fixed models, a sequence tool, source hashes, code, results, three figures, and reproduction instructions. Full source checks, model refits, and exact analysis replay passed. The test data and earlier reader results were already public.

stereoelectroencephalography · theta phase · phase forecasting · prediction intervals · sequence coverage · conformal prediction · brain-computer interface

Admitted 1 citing publication

References

5
  1. usesLearned filters reduced mean 50 ms offline theta phase error by 12.06 degrees against a calibrated sinusoid in later SEEG rest from seven people sci:sha256:3adc1388ee2f8a7376426deef4c35ed0f92b2d041c8f0962bbb58c3d1b7fb38a

    This work supplied the fixed 50 ms reader and its training rule. We used the same reader and refitted its coefficients as a check.

  2. usesConfidence bins reduced error arc scores for 50 ms theta phase forecasts with an offline reference in seven SEEG rest recordings sci:sha256:33b71fcdcca582e278237f7c6ac04c201ee338c58b607503eba2a92616c0941b

    This work supplied selected voltage, fixed reader coefficients, primitive forecasts, and source provenance. We used these files to test coverage of whole forecast blocks.

  3. usesEarly frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings sci:sha256:5c3ae075960de0774e0fcc176ee07a5e3c9a353d86238f1e49023a23aa4d2bfa

    This work supplied the SEEG pair selection rule and source snapshot hashes. We reproduced the selected pairs and checked every archived voltage sample against fresh full source downloads.

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

    Source dataset for the seven SEEG rest records; version 1.0.0 is identified in the saved source metadata and hashes.

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

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