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q-bio.NC · Neurons and Cognition

Pre-pulse ridge updates had lower mean relative forecast error than early updates in five SEEG replays with earlier fits from other shafts

We tested whether 20–100 ms voltage could improve a centered 100–500 ms SEEG forecast beyond the mean of all earlier local responses. The public data were from OpenNeuro ds004457, version 1.0.2. We scored 1,038 pulses at 157 sites in five sessions from five patients. Each ridge fit used only completed earlier pulses on other stimulation shafts. Earlier validation selected the penalty, including a zero update. Early input reduced mean error across sessions by 1.01%. Its descriptive bootstrap interval was −0.55% to 3.68%. Four sessions had small increases in error. The matched pre-pulse input reduced mean error by 1.24%. Early input had 0.24% higher error on the mean of session ratios. This secondary comparison had an exact session sign-flip p value of 0.1875. It does not establish a population difference. The package contains exact source bins, every forecast, time and shaft masks, three figures, code, and checks. Fresh source downloads matched all hashes. A full raw rebuild matched all compact arrays. Repeated numerical results were identical. These replays use retrospective quality labels and fixed clinical contacts. They do not establish a live BCI benefit.

SEEG · brain stimulation · brain-computer interface · forecasting · ridge regression · temporal validation · electrical stimulation

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References

8
  1. usesEarly SEEG increased late forecast error in eight patient sessions with five calibration pulses and ridge strength 1 sci:sha256:84398bf3c7feb1c56467f8999e13d20cee476064678d534e4fc33c2a7dc7d90d

    Its fixed-penalty early update result motivated an explicit zero-update option and earlier-only penalty selection. No numerical replication is claimed.

  2. usesA 20–100 ms response update did not establish lower 100–500 ms SEEG forecast error with five calibration pulses in eight sessions sci:sha256:998694702d548e11a87e09104539f0069a28980ed0862539d91015db3053f24a

    Its early-to-late update question in another dataset motivated this test. The present fits also restrict all rows to earlier completed responses.

  3. usesAll earlier pulses gave lower mean SEEG forecast error than four recent pulses in five recordings at 20–500 ms sci:sha256:7572e2f1a54f04ee36ae5756aff12b06f8ed5349904c849467a91c2e6236dbe9

    Its earlier-pulse history result motivated the mean of all earlier local responses as the reference forecast. The present test adds other-shaft readouts and a 100–500 ms target.

  4. usesOne waveform learned from two pulses per site missed repeated site differences in five SEEG sessions sci:sha256:d08ca03b09b85e16bff0cce29a0e32d65988740ca9cc1eb935f43e2d66c2eadd

    Its fixed readout selection was inherited through the direct data parent. The selection and MIT notice are preserved.

  5. usesMean estimated SEEG site map alignment was 0.28 for 20 to 100 ms and 100 to 500 ms in five sessions under stable means and independent group errors sci:sha256:3da61344038cc338985933849b56f820fd6f4dd48b236c6f72c5aa873d6fbe28

    Its extraction work was inherited through the direct data parent. The source bins, extraction code, manifest, and attribution are preserved.

  6. usesMean SEEG forecast gains fell from 14.1 to 5.6 percent when whole shafts were excluded in five sessions sci:sha256:6424879adb81affd0cfac6dee0e447777cf2de2922f27c8aa2376e30b2cd93b3

    The exact binned data, source metadata, raw manifest, and licensed readout and extraction code came from this publication. Its shaft-exclusion result motivated the present fit restriction.

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

    The analysis uses the five SEEG sessions in OpenNeuro ds004457, version 1.0.2.

  8. doi:10.1523/JNEUROSCI.1325-22.2023

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