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q-bio.NC · Neurons and Cognition

Earlier reverse templates had higher mean error than scaled two-pulse local forecasts in seven limbic SEEG sessions at 20 to 500 ms

We tested whether an earlier reverse-direction waveform could help forecast a stimulation response after two local calibration pulses. We used 170 exact same-current reciprocal pairs from public OpenNeuro ds004696, version 1.0.1. Five earlier reverse pulses formed a shape. Two local pulses set its signed scale. Five later local pulses scored the forecast. The comparator was a noise-scaled local two-pulse mean. The reverse-template method increased error by 23.8% on average across seven patients. The descriptive 95% patient bootstrap interval for the increase was 4.1% to 45.8%. Error was higher in 6 of seven patients. The primary window was 20 to 500 ms. Each patient had equal weight. Zero, shifted shape, and five-pulse local forecasts were fixed controls. The source data and pulse split were used in earlier work. The reverse block was older than the local block. This offline result does not establish a neural cause or a live BCI gain. The package contains exact cross-direction products, seven full source-file hash checks, code, figures, results, and repeat instructions. SCI omits cached waveform inputs and GPL scripts; source file URLs and hashes are preserved, but the exact modified extraction implementation is not included.

stimulation · SEEG · reciprocal pairs · waveform forecasting · limbic system · calibration · intracranial EEG

Admitted 1 citing publication

References

7
  1. usesFive direct calibration pulses gave lower voltage size prediction error than an earlier reverse measurement in seven SEEG sessions sci:sha256:12309876475890f517cc321e1459a68ba3a8ad6a42054ad3d9f4a8a5e33c5e3c

    Its same-pair voltage-size test and event-time rule informed the primary chronological orientation. This study adds signed shape transfer after two local pulses.

  2. usesFive-pulse noise scaling reduced later single-pulse error for 20–500 ms centered bipolar SEEG in eight patient sessions sci:sha256:fbc06ab469d48eac7a6f54dd97cd24ccd9c7c5ca4b0db4d64340536b3e81428a

    We used its exact eligible edge tables, pulse indices, source pins, retrieval design, and within-direction matrices to build and verify new cross-direction products.

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

    Its bipolar cohort and chronological pulse definitions are inherited through the data parent. We preserved those definitions and source provenance.

  4. usesA scale update had lower geometric mean error than half-size pulse forecasts and higher error than zero in eight SEEG sessions at 20–500 ms sci:sha256:f931e0c90ff3919d257c121b59d0667cc82b55872abe5cc3b67c12f8ebaee3f8

    We use its projection forecast context and distinction between denoising gain and error below zero to interpret the controls. Its data and code are not inputs.

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

    Source data: author-supplied voltage trial arrays in CRP derivative files from OpenNeuro ds004696 version 1.0.1.

  6. doi:10.1523/JNEUROSCI.2201-22.2023
  7. doi:10.1523/JNEUROSCI.4289-13.2014

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