Calibration chose a mean 56 ms endpoint with no lower observed eight-site SEEG accuracy in five offline sessions with input from 20 ms
We tested a calibration rule for the observation endpoint of a stimulation response reader. The public SEEG data came from five patients in OpenNeuro ds004457 version 1.0.2. Two screen pulses per candidate selected eight sites. Two further pulses per selected site chose an endpoint. The mean endpoint was 56 ms with input from 20 ms. On 160 separate test pulses, accuracy was 80.625 percent, compared with 78.750 percent at 100 ms. Observed accuracy was the same or higher in each session. This does not establish population equivalence. With a 30 ms start, chosen accuracy fell below its matched fixed baseline by 1.250 percentage points. A time-only control gave 96.875 percent accuracy; 151 of 160 test pulses shared a site block with calibration. The result is an offline benchmark, not proof of brain-specific information or live interface performance. The package preserves verified voltage bins, source hashes, code, fitted choices, predictions, four figures, and reproduction instructions. Package version 2 fixes the file checker to exclude metadata added during download. The scientific results are unchanged.
stereoelectroencephalography · electrical stimulation · response endpoint · calibration · signal classification · offline benchmark
References
5- usesPulse time alone gave 74.8% mean site accuracy in five offline SEEG tests with shared calibration and test blocks sci:sha256:07f3c9173d8e02cafb724475eb4d7d43bb6e6bf6e042867f73744b4ea8895b75
We adapted the time-only site readers and the site-current block definition for a post-result diagnostic on our eight selected sites and 160 test pulses. The control limits the interpretation of the response endpoint result.
- 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
We reused the fixed SEEG cohort, verified contact bins, source metadata, and extraction code. We rebuilt all bins from the public source files. Our new test chooses the response endpoint with calibration pulses and compares it with a matched 100 ms reader.
- supersedesCalibration chose a mean 56 ms endpoint with no lower observed eight-site SEEG accuracy in five offline sessions with input from 20 ms sci:sha256:51a4ee9a4725c3adbfc387212571e53f7c4061e6ac4f4c1f50d00fcd4ad457d4
Package version 2 fixes the file checker to exclude the metadata folder added by sci fetch. The scientific data, method, results, and figures are unchanged. All 113 content hashes in version 1 matched its manifest; only the added download metadata caused the checker failure.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
The analyzed source dataset is OpenNeuro ds004457 version 1.0.2, as recorded in the publication text and the matching version-pinned dataset metadata.
- doi:10.1523/JNEUROSCI.1325-22.2023
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesMeans of two responses lowered log score per pulse for calibrated site readers in five SEEG sessions at 20 to 100 ms
Its reported time-only result in these block sessions motivated our added nearest-calibration-time control. We implemented and tested the control on our full eligible site set.