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A fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions

We tested whether correlation between SEEG features helps identify a known pulse site. We used OpenNeuro ds004457 version 1.0.2 and all five patient sessions. We kept 183 sites and 15 recording pairs. Four early pulses at each site trained fixed templates and residual covariance. Four later pulses at each site tested the rules. Mean accuracy was 40.6% with half covariance and 34.6% with diagonal variance alone. The mean gain was 6.0 percentage points, with positive gains in all five patients. The exact two-sided patient test gave p = 0.0625. The descriptive patient bootstrap interval was 3.1 to 8.8 points. This small sample does not establish a population effect. Calibration and test times interleaved across sites. The result is an offline comparison within sessions, not an online calibration test. Fixed window and contact checks retained positive gains. A later exploratory check suggests that covariance across time bins accounts for much of the gain. We rebuilt the inputs from 110 public source files and verified all hashes. A repeat run matched all 825 saved model arrays. The package preserves three figures, pulse predictions, fitted models, source code, data provenance, and reproduction instructions.

SEEG · stimulation site decoding · covariance · regularized discriminant analysis · brain-computer interfaces · intracranial electrophysiology · offline benchmark

Admitted 112 citing publications

References

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  1. usesA joint SEEG shape decoder did not show a clear mean gain over one selected pair in four patient sessions sci:sha256:81f77d4f52365d5b14fed7d3d6db7b430a2cf478b9a6a6062540c4e90bbd8e7c

    We used this report’s verified voltage bins, source metadata, retrieval and extraction code, pulse eligibility, chronological per-site allocation, and equal-pair shape comparator. We rebuilt its inputs from raw files. Our covariance test uses the same patients and sessions, so it is not independent replication.

  2. 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

    We used this earlier site benchmark to choose the pulse-site identification question and response-window controls. It uses the same source patients. We did not treat its evidence as an independent sample.

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

    The analysis used OpenNeuro ds004457 version 1.0.2; the source data and metadata record CC0.

  4. supportsdoi:10.1523/JNEUROSCI.1325-22.2023

    The source study supplies the published context that temporal and limbic stimulation produces distinct responses in ventral temporal cortex.

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