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

Minimum split selection gave 40.0% mean SEEG accuracy at 100–500 ms for eight sites in five offline sessions with four calibration pulses per site

We tested two rules that select eight stimulation sites from public stereoelectroencephalography data. The data came from five patient sessions in OpenNeuro ds004457 version 1.0.2. Each candidate site supplied four calibration pulses. Each selected site supplied four later test pulses. The reader used responses from 100 to 500 ms after each pulse. Minimum split selection gave 40.0% mean accuracy. Average split selection gave 37.5%. Only two sessions improved. The lowest site recall did not change in any session. A fixed check with no shared recording contacts reversed the mean gain. These results do not establish a general benefit from the minimum rule. Calibration and test times interleaved across sites. Thus, this was an offline test within sessions. The package contains three figures, a score proof, voltage bins, all predictions, source code, source hashes, and reproduction instructions. Fresh source extraction and a second analysis matched the saved results exactly. The source patients were reused from prior work. The test did not measure a percept, behavior, or clinical benefit.

stereoelectroencephalography · SEEG · electrical stimulation · site selection · split stability · response classification · brain-computer interface

Admitted 2 citing publications

References

7
  1. 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 covariance rule for the reader. The rule combines equal parts of calibration residual covariance and its diagonal.

  2. usesNoise correction did not increase mean eight-site SEEG accuracy at 20–100 ms with four calibration pulses per site in five sessions sci:sha256:eef87e94853fad626caddee9fff3146fa92c84241f432ff4a03376aaf5f27399

    Its test of noise correction helped define the question about split stability. We used the same pulse budget and tested a different selection penalty in a later response window.

  3. usesThe mean response minus pre-pulse SEEG order score was 0.001 at 15 fixed readouts in five sessions at 20 to 500 ms sci:sha256:f60b36fd022d37deb79c1c1406b661b1449e5eeb54c0780291ce666caeb0308c

    We used its compact voltage bins, source metadata, extraction code, and fixed contact rules. These inputs defined the 138 candidate sites in five sessions.

  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

    Its greedy selector used a score from two calibration halves. We extended that selector to all three balanced splits of four pulses. We also kept its first split rule as a fixed comparator.

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

    This exact OpenNeuro release supplied the five analyzed SEEG sessions and the source files identified by preserved URLs and hashes.

  6. supportsdoi:10.1523/JNEUROSCI.1325-22.2023

    This is the source study reporting distinct stimulation responses in human ventral temporal cortex.

  7. doi:10.1016/j.neuroimage.2015.12.012

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