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Four learned coefficients gave higher site accuracy than four fixed cosine coefficients for later pulses in five SEEG sessions at 20 to 100 ms

Four coefficients from a learned temporal basis gave 19.11% mean stimulation-site accuracy. Four fixed cosine coefficients gave 17.71%. The difference was positive in all five patient sessions. Its mean was 1.40 percentage points. The exact two-sided patient sign-flip probability was 0.0625. The descriptive 95% patient bootstrap interval was 0.41 to 2.96 percentage points. These data do not establish a population effect at the 0.05 test level. The test used responses from 20 to 100 ms after a known pulse: 992 later pulses for testing and 931 earlier pulses for training, from the same stimulation-site blocks in each session. Four time averages gave 12.93% mean accuracy; all 16 original feature values gave 22.18%. Four learned coefficients reduced the output count from 16 to 4, with a loss of 3.07 percentage points from the full-feature baseline. Output count is a payload proxy at equal scalar precision; bit rate, power use, computation cost, and hardware benefit were not measured. In a 30 to 110 ms sensitivity window, two of five patient differences were negative and the exact probability was 0.6875. This is a method comparison within five sessions, not a test of transfer to another session or patient.

SEEG · electrical stimulation · temporal compression · learned basis · cosine basis · site classification · brain-computer interface · signal processing

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References

4
  1. 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 its fixed recording pairs, event rules, chronological splits, feature arrays, metadata, and raw retrieval and extraction code. We rebuilt all feature arrays from the public raw files before the new compression comparison. This is a dependent method study in the same five sessions.

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

    Source dataset ds004457 version 1.0.2 supplied the SEEG recordings and event metadata. The archived report records the source snapshot commit and raw-file hashes.

  3. usesdoi:10.1523/JNEUROSCI.1325-22.2023

    Source experiment and published measurement-contact selection used through the archived AutoSci analysis.

  4. doi:10.1109/TBCAS.2024.3378973

    Background on event-based compression for intracortical recording interfaces; it provides context and no energy estimate for this method.

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