The mean patient median peak gap between reused and separate five pulse estimates was 0.661 baseline RMS units in five SEEG patients
We tested how peak time and polarity selection change an electrical stimulation response estimate. We used public SEEG data from five patients with epilepsy in OpenNeuro ds004457 version 1.0.2. The main sample had 1,081 stimulation site and receiving contact links. For each link, all 252 five pulse selections used the five other pulses for a separate measurement. Both estimates used the selected time and sign. The search used 50 to 250 ms after stimulation and a 21.484 ms box mean. The mean patient median reused minus separate gap was 0.661 baseline RMS units. Its descriptive 95 percent patient bootstrap interval was 0.533 to 0.781. Before stimulation, the gap was 0.628 units. A finite grid proof shows that the mean complementary gap is nonnegative without a noise model. We report no p value for gap positivity. This gap measures changes in the estimate and does not validate a biological connection. All planned method checks are reported. Full public source decoding reproduced all 3,477,760 waveform values and all other input arrays. A separate calculation checked 544,824 main estimates. Near ties changed 16 peak choices but did not change patient median gaps. A complete repeat produced 18 identical numerical files. The package preserves derived data, every main split decision, code, source credits, hashes, retrieval recipes, checks, and instructions. The local plan has no external registration.
peak selection · pulse separation · stereoelectroencephalography · electrical stimulation · measurement bias · patient bootstrap
References
4- usesFour shared pulses increased correlation between five pulse SEEG averages in five patients sci:sha256:b32094dc7392cb00836046de174e97c74b5e22bff748e10cb681317ecbf47b6d
We used its pulse windows, contact selection rule, source metadata, hashes, and retrieval code. We tested peak selection with separate pulse sets. We rebuilt every input array from the public source recordings.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
This is the exact OpenNeuro ds004457 version 1.0.2 source dataset used for the SEEG recordings and windows.
- doi:10.1523/JNEUROSCI.1325-22.2023
- doi:10.1038/nn.2303
Cited by
4 publicationsPublic catalog entries on Sciscape.
- usesSEEG from five patients showed a mean 41 percent late absolute peak disagreement above 20 ms for separate smoothed five pulse means with Pearson r≥0.8
We used its pulse windows, source metadata, extraction code, source locks, and provenance. Fresh decoding checked these inputs. That work reported peak time gaps without a correlation requirement. This study tests timing agreement conditional on waveform correlation.
- usesLog distance increased mean repeatability prediction error by 1.41 percent at stimulation shafts excluded from training in five SEEG patients
We used its fixed pulse windows, source metadata, input locks, and retrieval, extraction, and rebuild code. These files enabled the new distance prediction analysis and the complete raw-data check.
- usesLate SEEG shape gave 27.7 percent mean balanced shaft accuracy without shared stimulation contacts in five patients
The original raw retrieval and pulse extraction recipe came from this publication through the cited source package. This study preserves that code unchanged and used it to rebuild all five input arrays from checked public raw files.
- usesSquared voltage centre times preserved late SEEG site order better than absolute peak times in five patients with separate smoothed five pulse means
This earlier study supplied the metadata contact rule and MEF extraction code preserved through the input package. We used that code to retrieve the locked source and repeat the full extraction.