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Spectrum controls gave 50.75 percent mean skill and a causal 7 Hz reader gave 50.41 percent at 50 ms in nine SEEG rest records

We tested a causal 7 Hz filter reader at a 50 ms delay in nine public SEEG rest records. Each record supplied four selected pairs. Mean unseen-input skill was 50.41 percent for recorded data and 50.75 percent for 99 refitted spectrum controls. The controls kept block power and cross spectra. The mean difference was -0.34 percentage points. A descriptive 95 percent record bootstrap interval was -1.33 to +0.71 points. Shorter test blocks gave the same pattern. This test did not find mean excess skill. It does not prove equivalence or a stimulation benefit. A separate proof states why fixed linear squared error depends on means and correlations under stationary assumptions. The package preserves all inputs, models, scores, figures, source hashes, and code. Independent numerical checks and a complete replay passed.

stereo-EEG · forecasting · Fourier phase controls · causal filter · theta rhythm · ridge regression · neural signals

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References

7
  1. usesRefitted spectrum controls gave 20.82 percent forecast skill at 50 ms for a future theta filter term in seven SEEG rest records sci:sha256:5331dccbbbce102efe12f29407e02b3847aa59bd5e06300de1073bc5d50f7e3b

    We adapt its refitted block Fourier phase control design and short-block check. It tested a centered future-filter target in seven records. We test a causal state with only 50 ms of unseen voltage in nine records.

  2. usesA shared reader had 58.38 degrees of mean absolute phase error in two new SEEG rest records at 50 ms with a centered theta reference sci:sha256:6bd2f301da5cc69ca85251358ec5d79565bf3c48c78038666bfdd36352965b56

    We use its two ds005670 input selections, corrected EDF contact mapping, original target metadata, full source checks, and EDF parser.

  3. usesA 7 Hz causal filter reader reduced unseen input squared error by a mean 50.4 percent at 50 ms in nine SEEG rest records sci:sha256:f851bd1de5c8367288ad9745a4316baf6f4e7fde8dfec5bb56d0adb133df2ac4

    We use its nine selected SEEG inputs, exact causal filter target, 27-feature ridge reader, fitting periods, and score. We reproduce its main recorded scores and add refitted spectrum controls for the exact 50 ms unseen-input target.

  4. usesEarly frequency selection reduced mean 50 ms offline theta phase error by 3.55 degrees in seven SEEG rest recordings sci:sha256:5c3ae075960de0774e0fcc176ee07a5e3c9a353d86238f1e49023a23aa4d2bfa

    We use its early adjacent-pair selection rule, pinned ds006065 metadata and source hashes, and BrainVision selection code. A fresh UC004 source check repeats the selection and verifies exact derived voltage.

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

    The study uses selected bipolar SEEG data from OpenNeuro ds006065 version 1.0.0.

  6. usesdoi:10.18112/openneuro.ds005670.v1.0.0

    The study uses selected bipolar SEEG data from OpenNeuro ds005670 version 1.0.0.

  7. usesdoi:10.1103/PhysRevLett.73.951

    This paper describes the common-phase multivariate Fourier surrogate method used for the spectrum controls.

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