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A half-weight update raised mean relative forecast error by 1.0% in selected SEEG readouts from eight sessions after contact order reversal

We tested whether one new stimulation response could improve a stored SEEG response forecast. We used public STReEF data from eight people with epilepsy. Five responses at the original contact order built the forecast. The first response at the reversed order supplied a fixed half-weight update. Four later responses were held out. The test covered 668 instances of recording pairs at selected conditions from 20 to 500 ms after stimulation. Their original responses passed a stability check. Error fell in seven people. A large increase in one person gave a mean relative gain of −1.0%. The 95% person bootstrap interval was −37.6% to 23.8%. The result does not show a mean benefit. Across all 6,803 instances, error rose in every person. A two-pulse update gave a 17.5% mean gain in an exploratory test. Contact order and time were linked. This study cannot separate their effects. The package has three figures, source checks, exact response products, an offline forecast tool, and reproduction code.

stereoelectroencephalography · electrical stimulation · brain-computer interfaces · forecasting · signal processing · epilepsy

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References

6
  1. usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a

    We used the five-pulse noise-scale formula to build the stored forecast from original-order pulses. We used no recording data from this other dataset.

  2. usesA scale fit from one pulse lowered mean SEEG forecast error in six of eight sessions after contact order reversal at 20 to 500 ms sci:sha256:18c6ed2417c8fa21e9a22c8580a0e0bf89683a8de79f7dbda88c0cbd316fe6c2

    This related scale-fit study supplied context during the final source review, after primary scoring. It used different targets and scoring. We used no input data, code, or result from it to select this test, and we make no direct method comparison.

  3. usesA five-pulse check selected SEEG pairs with 60.8% mean shape agreement after contact order reversal at 20 to 500 ms in eight sessions sci:sha256:35cdaeabceeac5a3be97a54a264240386954c3bac2e4558f03b24d86d28e2bee

    This study supplied the fixed 96-condition sample, the original-pulse selection rule, exact response products, metadata, and extraction code. We rebuilt all 960 public source ranges. The new test scores fixed waveform updates on later pulses. It uses the same recordings and is not an independent cohort.

  4. usesdoi:10.18112/openneuro.ds005448.v1.0.0

    STReEF supplied the public SEEG recordings and metadata used in this analysis.

  5. doi:10.1016/j.ynirp.2025.100274
  6. doi:10.1007/s12021-022-09567-6

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