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Early timing fits increased mean relative late SEEG forecast error by 1.92 percent compared with amplitude fits in five sessions after four calibration pulses per known site

We tested whether the early response to a stimulation pulse can improve a forecast of its later response. We used public stereoelectroencephalography (SEEG) data from five patient sessions in OpenNeuro ds004457 version 1.0.2. The test had 183 stimulation sites, 15 recording pairs, and 732 test pulses. The first four pulses at each site set a mean template. The final four pulses tested each forecast. The site was known. A fit used only voltage from 20 to 100 ms of each test pulse. It chose one offset within 20 ms and one amplitude value for all recording pairs. The target was centered bipolar voltage from 100 to 480 ms. The control fit the amplitude with the offset fixed at zero. Timing increased mean relative error by 1.92 percent after equal patient weighting. Error increased in four of five sessions. The descriptive 95 percent patient interval was -0.07 to 4.91 percent. The exact two-sided patient sign-flip p value was 0.1875. The fixed sensitivity checks gave no mean timing gain. This result does not establish a general harm or a neural delay. All 110 public source files passed hash checks. A fresh extraction and a repeated analysis matched the saved arrays and scores. The package has voltage bins, source hashes, code, pulse forecasts, and three figures. This is an offline test with source quality labels from the full record. It does not test a live brain-computer interface.

stereoelectroencephalography · SEEG · electrical stimulation · waveform forecasting · signal processing · brain-computer interface

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References

6
  1. usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886

    Used exact 5 ms voltage bins, event tables, fixed input rules, and MIT raw extraction code. Fresh public raw extraction matched the inherited inputs.

  2. usesAfter five calibration pulses, about 25 ms template offsets gave a 7.48% mean patient error increase in 100–500 ms SEEG forecasts across eight sessions sci:sha256:949831979a0945dfe30f29a37ca4d255ab1dab3c525ac796fa997f1a4a3ed170

    Its test of imposed late template offsets motivated an early-only estimate of an offset for a later response forecast. The datasets and estimands differ.

  3. usesA common time split supported at most four stimulation sites in five SEEG sessions with four calibration and four test pulses per site sci:sha256:095aa8e1bce3412fc1950ab5f561b5aebe376e44dc239f92addc13a3b59630b7

    Used its schedule audit to limit the present result to forward, known-site forecasts within sessions. The test does not claim a global calibration stage.

  4. usesTemplate alignment did not show a clear gain over a local peak in joint timing tests on 37 selected SEEG pairs from eight sessions sci:sha256:66e301893aa0028ac746ee2818d43980a31c0611926c0580340aaefa16a76895

    Used its timing-readout question to define the stricter early-input, later-target test. No selected readout data or scores were reused.

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

    Analyzed source recordings and exact dataset version used in the five-session forecast test.

  6. doi:10.1523/JNEUROSCI.1325-22.2023

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