sciscape Publications
← All publications

Noise scaling removed the observed mean pooling gain for centered SEEG forecasts at 20–500 ms after contact order reversal in two recordings

We tested whether five earlier stimulation pulses improve a forecast after contact order reversal when both forecasts use a noise scale. The public data were OpenNeuro ds003848 version 1.0.3. The fixed sample had two SEEG recordings, 59 conditions, and 590 distinct pulses. Both rules used three new calibration pulses and predicted the next two pulses. The pooled rule also used the five earlier pulses. For centered bipolar voltage at 20–500 ms, pooling full means lowered the mean person error by 21.1%. After both means received a calibration noise scale, pooling raised that error by 0.8%. The change was +9.9% in RESP0749 and -3.6% in RESP0800. These are descriptive results from two people. The noise estimate assumes independent pulse noise and a stable mean within each block. Contact order and time are confounded. The result supports use of a noise-scaled control in stimulation calibration studies. It does not establish a live BCI benefit. The package contains independent analysis code, four figures, exact waveform products, raw examples, tables, formulas, and reproduction instructions. A new source audit verified all 590 pinned byte ranges and rebuilt all 59 products.

SEEG · brain-computer interface · stimulation · noise scaling · forecast error · calibration

Admitted 0 citing publications

References

4
  1. usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a

    Adapts the mathematical calibration noise scale to a three-pulse new mean and an eight-pulse pooled mean. The pooled noise estimate uses variance within each contact order. The implementation is new. No data or Python code from this source study are used. Preserved description and protocol retain attribution and CC BY 4.0.

  2. usesPulse pooling reduced observed normalized error for centered SEEG forecasts at 20–500 ms after contact order reversal in two recordings sci:sha256:66df9cc13a420195d9501065f94ea3680760f148fb924cb0c172624e64534ace

    Uses the fixed 59-condition inventory, waveform products, two raw examples, pinned source metadata, and CC0 retrieval and planning code. Reproduces the full and half mean person scores. Tests whether the reported pooling gain remains when both new and pooled means receive calibration noise scales.

  3. usesdoi:10.18112/openneuro.ds003848.v1.0.3

    The analysis uses OpenNeuro ds003848 version 1.0.3, the only voltage source for this study.

  4. doi:10.1007/s12021-022-09567-6

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.