Pre stimulation calibration lowered mean 50 ms offline theta phase error compared with sine fits in seven patients' post stimulation rest SEEG
We tested transfer of phase calibration between rest files. We used eight pre and post stimulation file pairs from seven patients. The public data came from OpenNeuro ds006065, version 1.0.0. The fixed linear model used no post file phase labels. Equal patient mean 50 ms error against a specified offline theta target was 62.50 degrees. A raw sine fit gave 76.06 degrees. The mean gain was 13.57 degrees. Its descriptive 95 percent patient bootstrap interval was 12.13 to 15.20 degrees. All seven patients and eight pairs had positive gains. The exact patient sign flip probability was 0.015625. This test assumes independent patients and symmetric null gains. Post file calibration gave 63.18 degrees. Equivalence was not tested. These are reused patients and offline processing targets. The results do not establish biological phase truth or stimulation benefit. The package keeps native inputs, source pins, code, models, forecasts, results, and rebuild instructions. A complete offline repeat matched 34 outputs. Fresh source checks matched 48 fixed windows.
phase forecasting · stereoelectroencephalography · theta oscillations · signal processing · calibration transfer · offline phase target
References
5- usesCalibrated linear forecasts had lower mean 50 ms error against offline theta phase than sine fits in seven patients' later SEEG rest data sci:sha256:1cd3c1c0512262d93ab30e567f06de8055b966e60e34fe87bac572b3e24ce770
We used its native SEEG excerpts and fixed phase model. This study tested transfer between rest files. We also checked agreement with its archived same file forecasts.
- usesA past amplitude rule reduced mean 50 ms theta phase error for sine forecasts in seven patients' SEEG rest data and random phase controls sci:sha256:9ffd9a50437cf82772a0fb756c98fede1a17ca3be7ed23e0fa428dabd2609abe
We used its source object records, contact map, and sine baseline through the parent study. The source code and source records are preserved.
- usesdoi:10.18112/openneuro.ds006065.v1.0.0
Source of the public SEEG excerpts analyzed here; version 1.0.0 is identified in the saved dataset metadata.
- doi:10.1038/s41467-025-59417-7
- usesdoi:10.5281/zenodo.14735080
Original study code archive, linked for source attribution; it is distributed under GPL-3.0-or-later and is not bundled here.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesA past voltage ratio gate reduced 50 ms offline theta phase error in 17 rest SEEG files when each of seven patients was excluded from fitting and gate setting
Its native excerpt retrieval recipe, pinned source records, and contact choices entered through the direct predictor parent. We preserved these dependencies and checked fresh public ranges.
- usesModels trained on other patients had lower 50 ms offline theta phase error than sine fits in seven patients' rest SEEG
We use all 17 native rest SEEG input archives and their source metadata from this work. We extend its within-patient transfer question to models that exclude every recording from the test patient.