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Added channel features increased delay beta test error by 18.3% per patient on average in retained trials from six ds006136 patients at ridge penalty 0.1

We tested whether separate channel features reduced delay beta power error beyond a mean of other channels. We used retained SEEG trials from six patients in ds006136 version 1.0.1. Each model learned from earlier trials and was tested on later trials. At fixed ridge penalty 0.1, added channel deviations and presence indicators increased mean squared error by 18.3% per patient on average. Two of six patients had less error. The 95% patient bootstrap interval for relative gain was -49.3% to +12.2%. Under a symmetric patient-gain null, the exact sign-flip test gave p=0.34375. Planned checks changed direction with stronger regularization or omission of presence indicators. The small sample does not establish a population error increase. The package preserves exact signal windows, source pins, code, fitted models, all predictions, and reproduction commands. The result applies to retained observed targets and does not validate restoration of artifact-rejected signals.

SEEG · beta power · ridge regression · missing data · channel features · model comparison

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References

4
  1. usesOther channels reduced delay beta test error by 12.7% per patient on average in retained trials from six ds006136 patients sci:sha256:8a7fa4b270bf632343d6c9f1dea917f8c4da079c6f77ae86edcc52236e0890c8

    This publication supplied exact SEEG sample windows, trial features, and split functions. They enabled a direct comparison with its channel mean model. We reproduced all 2,100 primary test predictions.

  2. usesTrial ID matching gave higher mean delay beta power correlation for fixed frontal samples in 11 ds006136 patients sci:sha256:b690a0168a8f0081dff2fcdcc9a04c0272851da42eeea70d9ed46c74999e9fa2

    This publication supplied the original EDF decoder, source pins, and independent spectral check. The present study uses these functions through the cited benchmark. The code and its MIT license are preserved.

  3. usesdoi:10.18112/openneuro.ds006136.v1.0.1

    Source dataset used for the retained SEEG trials, signal windows, and trial metadata in this benchmark.

  4. usesdoi:10.1016/j.neuroimage.2026.121718

    The source task and preprocessing context for the dataset; no result from this paper was used as model input.

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