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Separate five-pulse profiles had higher mean SEEG spatial error than a shared profile at 20–500 ms in seven patient sessions

We tested whether a separate spatial SEEG profile from five pulses at each stimulation site predicted final-five-pulse profiles better than one shared profile. We used OpenNeuro ds004696 version 1.0.1. Fixed rules retained 57 sites in 20 groups from seven patient sessions. Each group used one stimulation shaft, one current, and a common recording panel. Shaft energy normalization removed one common response size factor. Separate profiles had mean squared Hellinger error 0.02672; the shared profile had error 0.02313. Mean error reduction was -0.00358, with a descriptive 95% patient bootstrap interval of [-0.01169, 0.00451] and exact two-sided patient sign-flip p = 0.5469. The after-minus-before contrast was 0.00593, with p = 0.2188. The fixed joint evidence rule failed. Pulse order limits the claim to an offline comparison. This result does not establish equal neural responses or independent neural control. The package includes a reusable profile method, unchanged exact pulse products, all profiles and scores, three figures, a local plan, independent arithmetic checks, source provenance, and reproduction instructions. Fresh audits of two complete source derivatives passed 2,496 direct energy checks. All 52 source snapshot checks passed. A repeat run gave identical numerical files.

stereoelectroencephalography · electrical stimulation · spatial response profiles · squared Hellinger error · brain-computer interfaces · patient bootstrap · sign-flip test · offline prediction

Admitted 1 citing publication

References

4
  1. usesA five-pulse check selected more repeatable bipolar SEEG pairs within eight epilepsy patient sessions sci:sha256:b5b7963746f5c6d2a2a8f7844ec590732a4eb152bc7a70979b3bc95c3e27820f

    This publication first made the exact ten-pulse Gram products and contact tables. We use them unchanged through the direct parent. Its source extraction and chronology work enabled the spatial energy calculation.

  2. usesFive-pulse target fraction selection did not show a clear gain over energy selection within stimulation shafts in seven offline SEEG sessions sci:sha256:a26c5ceb2ffc9d324c3d13312cdccbd47e2c669b827ba0cbb0782b8fcec0c0fe

    All 25 compact data files are copied unchanged from this publication. Its extraction and source audit scripts are adapted to this package. We use its patient, shaft, and current grouping to test spatial profile prediction. This is a different endpoint on the same cohort.

  3. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    The analysis uses the public SEEG recordings in OpenNeuro ds004696, version 1.0.1.

  4. doi:10.1523/JNEUROSCI.2201-22.2023

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