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Covariance from earlier sites did not show a clear 20–500 ms SEEG forecast gain over scalar transfer after two pulses in five session tests

A covariance model from earlier stimulation sites did not show a clear forecast gain over scalar transfer after two local pulses. The test used 142 new sites in five patient sessions from public SEEG dataset ds004457, version 1.0.2. Forecasts covered 20 to 500 ms after stimulation. The mean patient error reduction was 1.27%. The descriptive 95% patient bootstrap interval was -5.92% to +6.67%. A local method with four input pulses had lower error in all five patients. Donor epochs ended before each new site began. The main models used 718 distinct input pulses, including donor pulses. The package preserves code, voltage bins, models, forecasts, figures, and a pinned raw-data retrieval recipe. All raw reconstructions and data-flow checks passed. These five sessions do not establish clinical benefit or method equivalence.

stereoelectroencephalography · SEEG · electrical stimulation · voltage forecasting · response covariance · brain-computer interface · forecast benchmark

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References

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

    This publication supplied the voltage bins, source metadata, contact rules, and MIT raw extraction code for the new forecast test.

  2. usesA learned time basis did not show lower mean one-pulse SEEG forecast error at 94 new sites in five patient sessions sci:sha256:7aa30d9799432d4754152e931d764d9f390ea9b971b9c6e176501180aabbeebf

    This report supplied the earlier-site transfer question and the local noise-scale comparison. Its fitted models and forecast values were not used.

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

    The analyzed voltage bins and source metadata are from OpenNeuro ds004457 version 1.0.2; the fixed source tree and file hashes are recorded in the package.

  4. doi:10.1523/JNEUROSCI.1325-22.2023

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