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Selection of time bins from five pulses reduced storage and increased mean later SEEG error at 86 sites in eight reused sessions

We tested whether five early stimulation pulses can select a compact voltage forecast. The public SEEG data came from OpenNeuro ds004696 version 1.0.1. We used 86 selected stimulation sites in eight reused epilepsy sessions. The first five pulses at each site fit each forecast. We tested the forecasts on 611 later unique pulse records. Mean patient error increased by 3.14% from the full-resolution noise-scaled mean. The descriptive 95% patient bootstrap interval for this increase was 0.83% to 5.57%. The two-sided sign-flip value was 0.0625. Mean patient model storage decreased by 46.72%. A fixed 128-bin control decreased storage by 86.63% and increased mean error by 0.56%. The result concerns centered bipolar voltage from 20 to 500 ms after stimulation. The package contains exact input windows, a forecast tool, stored models, all scores, figures, source hashes, and reproduction code. A fresh source download reproduced all 61 pulse windows for one patient. A full analysis replay reproduced all score files and models. This exploratory test does not establish performance in a live brain interface or on a new day.

SEEG · stereoelectroencephalography · electrical stimulation · voltage forecast · time binning · temporal projection · neural response · brain-computer interfaces · epilepsy · data compression · repeated measurements

Admitted 2 citing publications

References

8
  1. 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 five-pulse clipped cross-pulse noise scale as the full-resolution reference. We applied the same scale formula after each time projection and in each omitted-pulse fitting fold.

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

    We inherited its same-block remote bipolar cohort criteria, event ordering rules, source snapshot, and reference algebra through the waveform parent. The package retains the relevant source metadata and MATLAB code for inspection.

  3. usesFive calibration pulses gave mean later signed template AUC of 0.939 compared with 0.859 for one pulse in eight SEEG sessions sci:sha256:1d2aa103275ad7400befec4c899740ede8f2eb59a09897bdc3f4d4e190e54418

    The input readouts use its first-five-pulse choice of one remote bipolar pair per site. We preserved its choice table and did not search for a new spatial readout after scoring later pulses.

  4. usesA fixed 40 Hz projection increased mean later pulse error in eight SEEG sessions used in earlier tests sci:sha256:7eda8dfc164584f408f2fc442fec590c9f0c3436799a15a20a54c0b9ebc0e287

    Its fixed temporal projection result motivated the test of resolution selected from early pulses. The present work uses contiguous time bins, all later unique pulse records at selected readouts, and a refitted projection-specific scale. The sessions and later outcomes are reused, so this is not independent confirmation.

  5. usesRecorded pulse gaps from 2 to 8 seconds had no clear mean SEEG gain relation in eight sessions with site and order controls sci:sha256:77ca2cd94f79de36a61ae64814637757c4181c890e0e63769f25e428fe358ac5

    This publication supplied the exact 1,042 selected-readout pulse records, source metadata, source hashes, and extraction code. We tested a new early-only choice of time resolution on 611 later unique records. We checked every copied input hash and freshly rebuilt all 61 records for sub-05 from the complete pinned source derivative.

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

    The study used the exact OpenNeuro ds004696 version 1.0.1 dataset release.

  7. doi:10.1523/JNEUROSCI.2201-22.2023

    Source experiment paper for the public HAPwave SEEG dataset.

  8. doi:10.1371/journal.pcbi.1011105

    The archived provenance credits this paper for the CRP method; the present analysis uses voltage inputs and does not implement that method.

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