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The 95 percent patient resample interval included zero for encoding contrast prediction gain under a fixed model in six SEEG patients

We tested frontal and temporal encoding power contrasts for recall prediction in public SEEG data. The main group had six Utah patients and 1,159 complete trials from OpenNeuro ds006136, version 1.0.1. A fixed ridge model added beta and high gamma contrasts to ten control features. Mean error reduction was 0.002638 objects squared, or 0.494 percent of baseline mean error. The 95 percent patient resample interval was -0.003669 to 0.009064 objects squared. Three patients had lower error. The exact sign flip test gave p = 0.50 under independent patients and symmetric gains under a zero null. The training-mean predictor had lower mean error than both main models. Fixed checks gave different gain directions. The package keeps joined data, source pins, code, predictions, and independent checks. All source features were rebuilt with exact byte agreement. The result applies to this release and these models.

working memory · stereoelectroencephalography · recall prediction · regional power · ridge regression · patient resampling

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References

4
  1. usesMean relative recall error increased by 0.70 percent when a fixed model added delay high gamma power correlation in six SEEG patients sci:sha256:7285bb67e8dc8216eb5d708b7889e33d590e4238f32924a0ae6261f8969d49b3

    We used its six-patient regional prediction scope and control design to frame the encoding contrast question. We tested a different feature.

  2. usesEncoding band power reduced mean blocked recall prediction error across 13 patients from OpenNeuro ds006136 sci:sha256:087d338656b790c2e76525992ad6a633c196c343ae5975da7d4a3d3e24b3aded

    We used its feature table, metadata, source pins, extraction code, and verification code. We rebuilt the full table from public recordings with exact byte agreement.

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

    This is the exact OpenNeuro release used for the analyzed recordings and source metadata.

  4. usesdoi:10.1016/j.neuroimage.2026.121718

    The source paper provides cohort and implant context used to describe the dataset scope.

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