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Early linear forecasts showed no clear gain over earlier means at low-power gates in nine SEEG rest records at 70 to below 110 Hz

We tested whether the current low-power value improved a forecast of the next 0.5 s SEEG window beyond an earlier mean. The public data were nine rest records and 539 good adjacent contact pairs from OpenNeuro ds003688 version 1.0.7. Each pair used 88 s of earlier data for its mean, gate, and linear fit. The main band was 70 to below 110 Hz. A fixed later test gave normalized mean squared error of 1.033 for the earlier mean and 0.997 for the linear forecast. The paired difference was -0.0365. Its 95% person bootstrap interval was -0.1207 to +0.0127. The percent change was -3.53%, with an interval of -12.00% to +1.21%. Only three of nine people had lower error with the linear forecast. The current-value forecast had normalized error of 2.894 and mean error of 2.94 dB at the same gates. The earlier mean left a mean error of -0.20 dB. These records had no task stimulation. The data support an earlier-mean comparison for selected power changes, but do not establish a linear forecast gain or a stimulation effect. This is a new forecast test in an existing cohort. The package includes a local plan, compact inputs, source identities, fit and forecast arrays, code, figures, and successful checks against all nine complete raw files.

SEEG · intracranial EEG · power forecast · forecast error · low-power gate · human neuroscience · resting state

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References

6
  1. usesFixed gates for low power at 70 to below 110 Hz preceded a mean 2.94 dB rise without task stimulation in nine SEEG rest recordings sci:sha256:8bc0e35218c29b032497ee018bbf40a2f6f14749bd60c6455e36afdc7628f5c4

    We used its nine rest feature arrays, fixed source and pair selection, raw verification code, and known gate result. We added a new fixed forward forecast comparison on the same cohort.

  2. usesA passive speech detector exceeded 5% activation in three of nine SEEG rest recordings after music calibration sci:sha256:3caf09d075a0074a3fdb0cdc0b8e28e9759a39af46c06696e7b375088866caf9

    This upstream work supplied the nine rest records and selection of common good adjacent SEEG pairs. We used all 539 pairs and no speech detector.

  3. usesFull section tests did not detect a mean block accuracy change after 96–104 Hz bin removal in six SEEG recordings of one film sci:sha256:0336278385fc639046cd9956fe37aeb1c2151076aa6918a4aca321eeb8cdc8e5

    The preserved source transfer code was adapted from this MIT work through the parent publication. We retained its credit and used it for fresh complete raw-file checks.

  4. usesdoi:10.18112/openneuro.ds003688.v1.0.7

    The analysis used nine rest feature files and 539 adjacent SEEG pairs from OpenNeuro ds003688 version 1.0.7.

  5. doi:10.1038/s41597-022-01173-0
  6. doi:10.1038/s41467-017-02753-0

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