Pulse time alone gave 74.8% mean site accuracy in five offline SEEG tests with shared calibration and test blocks
We tested whether pulse recording time could identify stimulation sites without voltage input. We used public SEEG data from OpenNeuro ds004457 version 1.0.2. The fixed offline split had 183 sites in five patients, with four calibration and four test pulses per site. The site of the nearest calibration pulse in time gave 74.8% equal-patient mean accuracy. A fixed post-pulse voltage rule gave 40.6%; a uniform guess gave 2.8%. Of 732 test pulses, 711 shared a source stimulation block with calibration pulses. A secondary rule that used the latest earlier calibration label gave 97.2% mean accuracy. It was correct for all 711 shared-block test pulses. Only five sites had four eligible pulses in each of two separate blocks. This result shows that the schedule can solve much of this split. It does not show what information the voltage rule used or establish performance in a new session. The package preserves three figures, all inputs and predictions, reusable time-control code, source hashes, and reproduction instructions. Raw input arrays and a fresh analysis replay matched exactly.
stereoelectroencephalography · electrical stimulation · brain-computer interfaces · site identification · recording schedule · calibration · block audit
References
4- usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886
We reused its source-derived voltage bins, recording contacts, site rules, and first-four versus last-four pulse split. We independently reproduced its fixed covariance voltage reference, then added time controls and a source block audit.
- usesNeighboring stimulation pairs reduced offline SEEG prediction error in five patients, but site order confounded spatial transfer sci:sha256:33c33a6543262722110a335be73c9a8ad8d047a9d5831868e69c8fc52b59516b
Its finding about site order in a held-site voltage prediction task informed this schedule audit. Our new task predicts labels at calibrated sites. We used none of its target predictions as data.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
The analysis uses source-derived SEEG data from OpenNeuro ds004457 version 1.0.2.
- doi:10.1523/JNEUROSCI.1325-22.2023
Cited by
1 publicationPublic catalog entries on Sciscape.
- supersedesPulse time alone gave 74.8% mean site accuracy in five offline SEEG tests with shared calibration and test blocks
This version corrects the stated count of planned secondary rules from six to five. The source code, inputs, predictions, and numerical results are the same.