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Exchanged later voltage changed a mean 43.1% of site labels before pulses in five SEEG sessions with a centered 30 Hz FIR filter

We tested whether a site reader followed the source of exchanged later voltage. We used public SEEG data from five patients in OpenNeuro ds004457, version 1.0.2. The cohort had 138 site instances and 552 separate test pulses. The reader used the interval from 80 to 20 ms before a pulse. A centered 513-coefficient 30 Hz FIR filter also used later voltage. We exchanged voltage after a past-only 15 ms pulse repair and kept the trained reader fixed. The main donor-minus-recipient accuracy difference was 1.80 percentage points. Its two-sided sign-flip reference value was 0.1875. Evidence for donor-site identification was weak. Exchanged later voltage changed a mean 43.10% of labels. Every patient had changed labels. The causal filter and the distant primary control window changed no labels. Fixed secondary checks changed labels but did not give a stable mean donor preference. The result establishes future-input dependence in the tested analysis. It does not show neural anticipation or live BCI benefit. The package has native voltage excerpts, figures, source hashes, models, exchange results, code, and reproduction instructions. Independent extraction and analysis rebuilds matched all saved arrays.

stereoelectroencephalography · SEEG · brain-computer interface · causal filtering · finite impulse response filter · future-input dependence · signal processing

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References

5
  1. supportsAfter 10 ms repair, later voltage changed centered 1 s theta phase labels 50 ms before pulses in eight SEEG sessions sci:sha256:d0fe2a197bac78e7d0d979110509b26940ec0f9a52d670b6f334de14b266cae8

    This work motivated a test of later-input dependence after a past-only pulse repair. The present study adds evidence from frozen site-reader labels and exact native-sample filter support in ds004457. It uses different recordings and outcomes, so it is a method extension, not an independent replication of the phase effect or its patient cohort.

  2. usesSets of eight sites selected with four calibration pulses per site gave 97.5% mean SEEG site accuracy on later pulses in five sessions sci:sha256:26fe1329a47a3c52ad87884a535ca715d04f1d89da55c2bbbfc17b3df5cf8d6b

    This work supplies the fixed recording targets, metadata rules, snapshot metadata, pinned raw-file hashes, and retrieval code. The present run retrieves the native MEF files and extracts a new all-eligible-site cohort. It does not use the source selected eight-site sets or its derived after-pulse feature arrays.

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

    The analysis used ds004457 version 1.0.2. The saved source manifest pins the retrieved files by URL, byte count, and SHA-256.

  4. supportsdoi:10.1523/JNEUROSCI.1325-22.2023

    Source publication for the five-patient SEEG recordings used in this analysis.

  5. doi:10.1016/j.jneumeth.2014.08.002

    Background reference on electrophysiological digital filter design, causality, and delay.

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