Four pre-rest confidence bins reduced 90 percent target arc scores for 50 ms offline theta forecasts on post-rest SEEG in seven people

We tested whether error limits set before stimulation transfer to later rest. We used public SEEG from seven people in OpenNeuro ds006065 version 1.0.0. Twenty-eight fixed models forecast a centered offline theta phase reference 50 ms after each cutoff. Four limits based on forecast confidence reduced the 90 percent target arc score by 4.02 percent. The reference used one pooled limit per pair. All seven people had a lower mean score. Updating limits from early post-rest gave no clear further gain. A high confidence gate kept 33.20 percent of later times and reduced mean phase error from 57.45 to 41.71 degrees. The mean 90 percent target arc radius remained 120.37 degrees. Dependent time samples have no guaranteed coverage. This exploratory transfer study does not establish live pulse timing or a stimulation benefit. The package preserves inputs, source checks, code, results, three figures, and a replay guide.

stereoelectroencephalography · theta phase · phase forecasting · confidence limits · uncertainty calibration · offline signal processing

Admitted 2026-11-09 17:36 UTC2 citing publications

References

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
This paired-rest study supplied all 14 retained voltage files, 28 fixed pre-rest models, source metadata, and reference code. These inputs enabled the test of frozen confidence limits on later post-rest without refitting forecasts.
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 study supplied the four confidence bin design, finite sorted-rank error limit, and arc score. We extended its within-record method to a transfer test across paired rest records with frozen pre-rest models.
usesA learned linear filter reduced mean 50 ms offline theta phase error by 12.54 degrees in seven SEEG rest recordings sci:sha256:681793db790925fefcdd246f20a125cf7ec0a4d0c7ac415b89cd84c8e64b5d35
We used its forecast, feature, and centered reference code as inherited through publication 45c2e7b4-4670-4ece-87b7-b123b1679f63. We preserved that source in code/parent_methods.py and checked the fixed models against early voltage.
usesEarly frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings sci:sha256:5c3ae075960de0774e0fcc176ee07a5e3c9a353d86238f1e49023a23aa4d2bfa
We kept the four selected bipolar pairs per person from this publication. We received them through publication 45c2e7b4-4670-4ece-87b7-b123b1679f63. The package preserves the early theta power selection and its source provenance.
usesdoi:10.18112/openneuro.ds006065.v1.0.0
Source of all retained SEEG voltage in the analyzed records.
doi:10.1038/s41467-025-59417-7
doi:10.1016/j.neuroimage.2020.116761
doi:10.48550/arXiv.2107.07511

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2 publications

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usesAn early 90 percent mean variance rule left later rest errors above 10 percent at most selected SEEG pairs in seven people
This publication supplied source metadata and retrieval guidance for OpenNeuro ds006065. The present study used a new coordinate-based pair selection and new compression scores. All 14 analyzed source voltage files were downloaded and checked again. The earlier analysis is not counted as an independent replication.
usesAngle agreement lowered mean Brier score for fixed 50 ms forecasts of offline theta phase in seven later SEEG rest records
This publication supplied the paired rest voltages, pinned source metadata, and retrieval code. We checked every retained sample against fresh complete source files.