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q-bio.NC · Neurons and Cognitioneess.SP · Signal Processing

Earlier-site noise pooling did not establish lower two-pulse SEEG forecast error at 20–100 ms in five sessions

We tested whether earlier sites improve sparse SEEG calibration through noise pooling. We used OpenNeuro ds004457 version 1.0.2. The main test had 157 sites in five patient sessions. Each forecast used two local pulses and at least five earlier donor sites. The donor second epoch ended before the target first epoch began. The pooled fraction changed only the scale of the local mean waveform. We scored four later pulses at 20–100 ms. The mean patient reduction in normalized error was 0.47% against a local noise scale. The descriptive 95% interval was −0.31% to +1.13%. The exact sign-flip value was p = 0.375. Four patients had lower error. These results do not establish a gain or equal performance. Raw patient percentage reductions averaged −23.31%. A ratio of average raw losses instead gave +45.55%, dominated by one patient. An exact example shows that fixed pooling can harm a stable target. All inputs were rebuilt from 110 hash-checked public files. The package preserves code, data, donor time checks, forecasts, errors, three figures, and reproduction instructions. This offline test does not establish improved live brain-interface performance.

SEEG · stereoelectroencephalography · evoked response · noise fraction · noise pooling · forecast error · brain-computer interface · calibration · temporal transfer

Admitted 1 citing publication

References

6
  1. usesFixed noise pooling did not establish lower mean SEEG forecast error at 20–500 ms after five calibration pulses in eight sessions sci:sha256:a2dfba88d0ffbdfceef0e4771481b7145f5337c1ead4885a4063a3582b26b22c

    Supplied the idea of half-weight pooling of dimensionless noise fractions. The new test pools earlier sites at the same readout, with two fit pulses in ds004457 at 20–100 ms. Its code was written anew.

  2. usesA scale fitted from six pulses reduced later bipolar voltage error against the full mean at four SEEG sites sci:sha256:9ab5602420b06c62cc8d6bcb8dd2ef665c1e43efa0ed817a4e2bc94bde2c584a

    Supplied prior local noise-scale rationale. The present comparator estimates a clipped local scale from two pulses rather than the earlier six-pulse fit.

  3. usesNeighbor weights from earlier sites did not reduce mean relative 20–100 ms SEEG forecast error against local scaling in five sessions sci:sha256:0b60e4e4cf7afdbf18dc66d47cc59bb5d1b66c4baf95e8cc5ec9c0fb6a937e56

    Informed the practical question of transfer from earlier sites in these five sessions and the time-order checks. The present test transfers only a noise fraction, rather than donor waveforms or learned history weights.

  4. usesA two-pulse site rank did not show lower 20–100 ms SEEG forecast error than a spread budget in five sessions sci:sha256:1992325c3f451df1d04c3ddb1db9e235b387fdd80733c220eacfe8b81353a15c

    Supplied the ds004457 voltage bins, source metadata, contact list, and retrieval, extraction, and loader code. The present analysis rebuilt the bins from hash-checked public files and retained these source selection rules.

  5. usesdoi:10.18112/openneuro.ds004457.v1.0.2

    Source dataset, OpenNeuro ds004457 version 1.0.2; the analysis used its public SEEG recordings and metadata.

  6. doi:10.1523/JNEUROSCI.1325-22.2023

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