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Two calibration pulses gave a mean score gain of 0.062 bits over eight sites for 20 to 100 ms SEEG responses in five sessions

We tested whether two separate calibration pulses could choose a site count that improves SEEG response reading. We used five public sessions from OpenNeuro ds004457 version 1.0.2. There were 129 eligible sites with at least ten valid pulses each. Three pulses fitted site means and a fixed covariance metric. Pulse 4 fitted a shared probability scale. Pulses 5 and 6 chose among 2, 4, 8, 16, and all sites. The last four pulses per site supplied the test. The main window was 20 to 100 ms after the pulse. Calibration chose 8, 8, 16, 16, and 16 sites. Mean test scores were 2.703 bits per pulse for this choice and 2.641 for fixed eight-site sets. The mean gain was 0.062 bits per pulse. The descriptive 95% patient bootstrap interval was -0.258 to 0.389 bits. Two sessions improved, one declined, and two tied. These data do not show a clear gain from the choice rule. The score includes label entropy and probability error. It is not brain-writing capacity. The split was forward within sites, but not across the whole session. The patients and test pulses were reused from prior work. The package preserves figures, derived voltage data, code, pulse roles, source hashes, and a raw retrieval recipe. All 110 source files passed size and hash checks. A raw rebuild matched the inputs exactly. An independent probability check and an exact repeat analysis passed.

stereoelectroencephalography · SEEG · electrical stimulation · response decoding · probability log score · site selection · calibration · human neuroscience

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References

6
  1. usesA joint SEEG shape decoder did not show a clear mean gain over one selected pair in four patient sessions sci:sha256:81f77d4f52365d5b14fed7d3d6db7b430a2cf478b9a6a6062540c4e90bbd8e7c

    We adapted its MIT-licensed input-reading rules and extraction code through the cited source package. The source attribution and license are preserved.

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

    We used its fixed half-covariance reader rule through the cited input package. The new analysis retained voltage amplitude and used separate probability fitting, size choice, and final test pulses.

  3. usesEight selected sites raised accuracy in all five SEEG sessions but raised log score in four sci:sha256:6ea14d902f7540805304f1e86e0d9539a65d008e19a638b20889ef52c0a3d361

    This work supplied the probability-score framework, one-percent uniform probability mixture, and fixed eight-site comparison. We extended the method with two separate size-choice pulses. The source cohort and final test pulses were reused.

  4. usesSets of eight sites selected with four calibration pulses per site gave 97.5% mean SEEG site accuracy on later pulses in five sessions sci:sha256:26fe1329a47a3c52ad87884a535ca715d04f1d89da55c2bbbfc17b3df5cf8d6b

    This package supplied the compact voltage inputs, source metadata, pinned file manifest, extraction code, and contact eligibility rules. We rebuilt its inputs from the raw recordings and added two separate pulses to choose the site count.

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

    Source SEEG data and metadata came from this exact OpenNeuro snapshot; source file sizes and SHA-256 hashes matched the preserved manifest.

  6. doi:10.1523/JNEUROSCI.1325-22.2023

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