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Mean estimated SEEG site map alignment was 0.28 for 20 to 100 ms and 100 to 500 ms in five sessions under stable means and independent group errors

We tested whether early and late SEEG responses gave the same relations between stimulation sites. We used public OpenNeuro ds004457 version 1.0.2. The fixed cohort had five patient sessions, 183 sites, 15 bipolar recording pairs, and 1464 physical pulses. We compared 20 to 100 ms with 100 to 500 ms. Each site supplied four groups of two pulses. Products from separate groups estimate site-map moments without a model noise term when means are stable and group errors are independent with mean zero. The alignment ratio is biased. The mean estimate was 0.283, with patient values from 0.152 to 0.573. Its descriptive patient bootstrap interval was 0.183 to 0.436. This interval omits pulse-level uncertainty. Planned settings gave means from 0.281 to 0.450. Some individual values changed substantially. We did not test BCI control or a clinical outcome. The package preserves inputs, all maps, three figures, code, proofs, source hashes, and replay checks. All 75 fresh raw files matched their hashes. Fresh extraction gave ten byte-identical input files. Analysis replay with a second NumPy version matched all 34 result files within numerical tolerance.

SEEG · electrical stimulation · site maps · kernel alignment · brain-computer interfaces · independent pulse groups

Admitted 7 citing publications

References

6
  1. usesFour pulse groups gave SEEG response participation ratios of 1.20 to 2.80 in five sessions under stable means and independent errors with zero mean sci:sha256:0de878dd8b3be59a676a1baeec5435df4e50ef630d6431b79cda498a7ccbec96

    Used as related method context after the primary calculation. It uses separate products from four pulse groups to estimate response spectrum moments in the same cohort. The current result measures early and late map alignment. No code or result arrays were imported from it.

  2. usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886

    Used the inherited native-sample extraction code and fixed source manifest. Fresh raw downloads and extraction reproduced the ten received input files exactly.

  3. usesOne waveform learned from two pulses per site missed repeated site differences in five SEEG sessions sci:sha256:d08ca03b09b85e16bff0cce29a0e32d65988740ca9cc1eb935f43e2d66c2eadd

    Used its full preserved voltage bins, event tables, source metadata, fixed cohort selection, and retained pulse membership. The new analysis estimates agreement between early and late site maps. It does not repeat its waveform compression test.

  4. usesSEEG response shapes at 15–100 ms gave higher site identification accuracy than shapes at 100–500 ms within each of five patient sessions sci:sha256:aa5b71d76d214f861e99964287f9da01f3f9fc6c707a4dcfe24807283918ab40

    Used its reported early and late site decoding comparison as scientific context. The current calculation measures site-map alignment. No code or predictions were imported. Both reports use the same source patients.

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

    The analysis uses the fixed OpenNeuro ds004457 version 1.0.2 source snapshot and preserves its versioned DOI, source URLs, and file hashes.

  6. doi:10.1523/JNEUROSCI.1325-22.2023

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