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eess.SP · Signal Processing

Voltage-vector gates gave lower mean offline phase error than unit-vector gates at the 25% early retention setting across files from 36 selected SEEG patients

Voltage-vector gates gave lower mean accepted offline phase error than unit-vector gates in 36 selected SEEG patients. Both gates used a common 50 ms voltage-model forecast. Thresholds from file A targeted 25% early retention. A separate file B supplied 82,080 possible decisions. Mean cosine loss was 0.357847 versus 0.366664. The reduction was 0.008817, with a descriptive 95% patient bootstrap interval of 0.003509 to 0.014237. An equal test-count check gave the same direction. The primary successful yield difference had an interval that included zero. The package retains data, source pins, code, gates, figures, and repeat checks. The reference needs future voltage. The clinical cohort had previous use. No live interface or stimulation was tested.

SEEG · phase forecasting · signal processing · vector gating · offline evaluation

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References

4
  1. usesComplex voltage targets reduced mean 50 ms offline theta phase error across files from 36 selected SEEG patients sci:sha256:7bb26e9262cd7cf318aacf4eb9c26e67d5a3c1bf62ddd55c19ff2723bdfab146

    This publication supplied the selected 36-patient SEEG arrays, pinned source metadata, retrieval receipts, model code, and baseline vectors. We rebuilt the vectors exactly and tested two gate scores for one common phase forecast.

  2. usesForecast vector gates gave higher phase accuracy than amplitude gates after equal early retention in seven SEEG rest replays with an offline reference sci:sha256:fbf0ce2e5b37014408502ae7aeeaa42b8787b86978ef0beb0506f488e249c88c

    This publication supplied the prior forecast-vector gate idea. We tested a different comparison: two supervised vector lengths, fixed early thresholds, and a common forecast across files from a 36-patient cohort. We do not claim that vector gating is new.

  3. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    The study uses selected SEEG recordings from OpenNeuro ds004100 version 1.1.3. The source publication records the dataset URL and pinned commit; the saved version-specific metadata identifies this DOI and CC0 license.

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

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