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q-bio.NC · Neurons and Cognitioneess.SP · Signal Processing

Early SEEG fits with a 9.77 ms shift limit increased later forecast error by 5.82% in eight patients

We tested whether an early time shift estimate improves a later SEEG response forecast. The test used 610 later pulses at 86 fixed bipolar readouts in eight patients from public OpenNeuro dataset ds004696 version 1.0.1. Each template used the first five good pulses and a 30 Hz frequency limit. Gain from 0 to 2 and shifts within about 9.77 ms were fitted from 30 to 100 ms after a pulse. They predicted centered voltage from 100 to 490 ms. The shift model increased late error by 5.82% compared with early gain estimation alone. The patient bootstrap 95% interval was 3.66% to 8.31%. Error increased in all eight patients. A shift fitted to the known late response reduced error by 11.63%, but this fit benefit did not transfer to the forecast. Early gain estimation alone also had more error than the fixed template. The result applies to this estimator and selected cohort. It does not measure a neural delay or test a live interface. The package contains four figures, source windows, all fits, source pins, a retrieval recipe, and code that reproduced all numerical outputs exactly.

stereoelectroencephalography · SEEG · electrical brain stimulation · response forecasting · time shift · template fitting · brain-computer interface · forecast error

Admitted 2 citing publications

References

7
  1. usesA five-pulse derivative update gave a 0.155% mean SEEG forecast gain at 86 selected sites in eight patients sci:sha256:ff64a88924e631b12578d6e27e073b0c9459e191caa105197b7cdd619c783a56

    This study supplied context for testing transfer from early voltage to a later response. The present test uses exact shifts, a different estimator, and different intervals and score denominators. Its gains cannot be compared directly with the prior derivative forecast gains.

  2. usesA 30 Hz template derivative captured more later SEEG variation after pulses than before pulses at 86 selected sites in eight patients sci:sha256:641fb48513bf900f363416ccee06e41bcceaf624091b109af03695c0d9c384f1

    The template derivative result motivated a test of exact bounded shifts. The present test fits finite template shifts and compares known-target fits with early forecasts. It does not treat derivative projection as a neural delay or use the prior numerical scores as new evidence.

  3. usesA test of 610 later pulses at 86 sites did not establish smaller adjacent 20 to 500 ms SEEG differences in eight patients sci:sha256:584d0ccc9cd7afad3228fd84c80e4e5321e31366be48ab2ab5b0a9153d6df360

    This archive supplied the fixed bipolar voltage windows, all good pulse tables, source metadata, source hashes, and retrieval code. All 112 copied input files matched its archive manifest. The new models use its first-five calibration split and later pulse inventory.

  4. 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

    This study supplied the five-pulse readout rule and the fixed readout choices preserved in the immediate input. The new test retains those choices. It does not select readouts from new results or add an independent cohort.

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

    The analyzed processed SEEG derivatives are from OpenNeuro ds004696 version 1.0.1; the saved source pins and hashes identify the specific files.

  6. doi:10.1523/JNEUROSCI.2201-22.2023
  7. supportsdoi:10.1371/journal.pcbi.1011105

    This paper describes the canonical response parameterization used to produce the processed source derivatives discussed here.

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