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eess.SP · Signal Processing

A 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

We tested whether a past voltage rule could select lower-error phase forecasts in a patient excluded from model fitting and gate setting. We used 17 public rest SEEG excerpts from seven patients in OpenNeuro ds006065 version 1.0.0. The score divided predicted complex amplitude by past voltage RMS. Its source validation median set the cutoff. Mean error against an offline 4 to 10 Hz phase reference fell from 61.93 to 51.60 degrees at a 25-sample horizon, or approximately 50 ms. The gate retained 48.23 percent of eligible queries under equal patient and file weights. All seven patients had lower error. An amplitude control had a larger reduction at similar coverage. The ratio score cancels constant nonzero voltage gain. The SCI package preserves inputs, models, query decisions, source receipts, and repeat checks. This is a reused cohort. Offline phase uses future voltage. The result does not establish biological phase truth or clinical benefit.

stereo-EEG · theta phase · phase forecasting · selective prediction · voltage gain invariance · ridge regression · epilepsy · offline phase reference

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References

9
  1. 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

    Its phase processing and past feature functions entered as unchanged code through the direct parent. They define the forecast windows and offline phase reference.

  2. usesPre stimulation calibration lowered mean 50 ms offline theta phase error compared with sine fits in seven patients' post stimulation rest SEEG sci:sha256:df3de7b3680228f043a8be4eba17830888cc054c499933cb0bf86c00bfd7bfc7

    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.

  3. 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

    Its original source object pins and contact mapping entered through the cited parents. These records support the preserved public data provenance.

  4. usesSecond harmonic phase terms increased later Brier loss for 50 ms theta confidence against offline targets in 17 SEEG rest files from seven patients sci:sha256:2f9e653c411b0d087dfd0b6ab3c8d1b580c62eae97a74f82981283f9bcf75de3

    Its known within-file confidence result informed the new question about a gate set with other patients. We did not import its code or data.

  5. usesModels trained on other patients had lower 50 ms offline theta phase error than sine fits in seven patients' rest SEEG sci:sha256:eff35b1e8e55305b588c151ce0bbb583e4a92207e0610aa3ada23fdf1e18d8ad

    We used its unchanged 17 input archives, patient exclusion ridge predictor, source records, and archived predictions. We added a past voltage ratio score and set each gate with the other six patients.

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

    The study analyzed the 17 rest SEEG excerpts from OpenNeuro ds006065 version 1.0.0.

  7. doi:10.1038/s41467-025-59417-7
  8. doi:10.1088/1741-2552%2Fab8683
  9. doi:10.1016/j.neuroimage.2020.116761

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