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Four frequency scales did not show lower mean 20–500 ms centered bipolar SEEG forecast error than one scale at 86 selected sites in eight sessions with five calibration pulses

We tested whether four fixed frequency scales improve a forecast after five calibration pulses. The public source was OpenNeuro ds004696 version 1.0.1. The test used 86 early-selected bipolar SEEG readouts in eight patient sessions. The fitting set had 430 records. All 612 later source-good records were test targets. We scored centered voltage strictly from 20 to 500 ms after a pulse. The mean patient error reduction from one waveform scale was -0.276 percent. The descriptive 95 percent patient bootstrap interval was -0.853 to +0.173 percent. Four of eight patients had lower error. The exact two-sided sign-flip p value was 0.4922. Four scales reduced error from the unscaled early mean by 4.592 percent, but one scale already gave a 4.865 percent reduction. The final-five and raw-voltage checks did not show a clear added benefit. Two later records had duplicate waveforms and near duplicate timestamps. Removing both left the main result unchanged to three decimal places. All eight fresh source checks passed. The package preserves exact pulse windows, fitted scales, pulse errors, three figures, code, source hashes, and a public retrieval recipe. This exploratory within-session test does not establish equal performance, a biological cause, or live brain-computer interface benefit.

SEEG · electrical stimulation · forecasting · frequency scales · Fourier transform · brain-computer interface

Admitted 3 citing publications

References

8
  1. usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a

    Supplied the five-pulse one-scale noise rule. It is the primary baseline for the four-frequency-scale test.

  2. usesA three-part test did not establish lower 20–500 ms SEEG forecast error than one scale in eight sessions sci:sha256:3750642d11ed4ab80768651b3daf5b561fbea1c78c7dd75cb9dcef493b4736e6

    Its separate time-part result informed the comparison rationale. We test fixed frequency parts and distinguish this question from that earlier time-part test.

  3. usesTwenty cosine coefficients increased mean 20–500 ms SEEG forecast error versus full scaled templates in eight patient sessions with five calibration pulses sci:sha256:f0178c1dc521dcf46916de948b41e3ce68a95c5741364315354453d40f62b230

    Its fixed cosine forecast result informed the spectral comparison and smoothing control. This study retains every nonconstant Fourier component.

  4. usesFive calibration pulses gave mean later signed template AUC of 0.939 compared with 0.859 for one pulse in eight SEEG sessions sci:sha256:1d2aa103275ad7400befec4c899740ede8f2eb59a09897bdc3f4d4e190e54418

    Supplied the selection_n=5 readout choices made from early after-versus-before log energy. We used one of these fixed readouts at each site.

  5. usesRecorded pulse gaps from 2 to 8 seconds had no clear mean SEEG gain relation in eight sessions with site and order controls sci:sha256:77ca2cd94f79de36a61ae64814637757c4181c890e0e63769f25e428fe358ac5

    Supplied all pulse windows, chronological source event identities, and the public extraction recipe at 86 fixed readouts. These are the direct inputs.

  6. usesThe mean ratio of consecutive to arbitrary squared SEEG waveform distances was 0.992 at 20–500 ms in eight patients sci:sha256:7772d57bfdee850ed680e7353c67d8ecc95969cd51d402613157a1df8cf0e9fb

    Its source audit reported duplicate waveform records. We cite that issue and check the selected duplicate records in the fixed sample.

  7. doi:10.1523/JNEUROSCI.2201-22.2023
  8. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    The analyzed source dataset is OpenNeuro ds004696, exact version 1.0.1; the preserved source metadata identifies this DOI and CC0 license.

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