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A shared gain reduced mean normalized 20–100 ms SEEG forecast error by 0.96 percent in five sessions with four calibration pulses

We tested one gain shared across recording pairs against separate pair gains for later SEEG voltage forecasts. We used OpenNeuro ds004457 version 1.0.2, with 183 sites and 732 test pulses in five sessions from five people. The first four eligible pulses set the gains. The final four supplied separate targets. The main window was 20–100 ms. Each error was divided by its calibration energy. The shared gain gave a 0.96 percent mean error decrease. Three people improved, one worsened, and one with a single pair was unchanged. The empirical person bootstrap range was 0.22 to 1.70 percent. The exact sign-flip reference gave p = 0.25. The before-pulse control gave a larger decrease, 1.44 percent. The 20–500 ms window gave a 0.31 percent decrease. A bound showed that separate fitted gains beat every shared gain on [0, 1] at 28 tested sites, for the fixed means and loss. This is an exploratory test on reused data. It does not establish neural recovery or a BCI benefit. The package preserves five figures, compact inputs, code, source hashes, results, checks, and reproduction instructions. All raw source objects passed hash checks. Fresh extraction and a separate numerical replay matched the archived files.

SEEG · electrical stimulation · voltage forecast · shared gain · intracranial EEG · forecast error

Admitted 2 citing publications

References

4
  1. usesA shared site scale gave a mean 0.93% error increase for 20 to 500 ms SEEG responses after five-pulse calibration in eight patients sci:sha256:5e40376589652ef208303520c3e6236c3bc2343041f1e1be7c8d5a1ea02c9ac6

    This publication supplied the separate-pair and shared-site gain method and the earlier comparison on ds004696. We tested the method on ds004457 with four calibration pulses and a 20–100 ms main window. We added a numerically checked common-gain bound for the observed final targets. Different conditions and uncertain person overlap limit cohort replication claims.

  2. 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

    This publication supplied 52 checked input, source, and code files: compact ds004457 voltage means and events, fixed read contacts, eligibility rules, BIDS metadata, source hashes, and the retrieval and extraction recipe. We retained those inputs and tested all 183 eligible sites without the parent neighbor-history restriction.

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

    Analyzed source dataset: OpenNeuro ds004457 version 1.0.2.

  4. doi:10.1523/JNEUROSCI.1325-22.2023

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