Pulse variance correction reduced ranking from two pulses in four of five SEEG patients on five separate test pulses
We tested whether pulse variance correction improves SEEG response ranking with two pulses. We used public OpenNeuro ds004457 version 1.0.2. The test included 1,080 stimulation-site and receiving-contact pairs from five patients. Each method selected the nominal top 10% of pairs. Five separate pulses set the test ranks. We averaged all 2,520 disjoint pulse allocations within each patient. Mean rank AUC was 0.9259 for mean-waveform energy and 0.9257 after correction. The change was negative in four patients and positive in one. The patient mean change was -0.00024; the exact two-sided sign-flip p value was 1.00. The empirical patient bootstrap limits were -0.0160 to +0.0230. These limits do not show equivalence. Correction reduced rank AUC in all five patients at a 20% selection quota. It raised mean AUC when only post-pulse energy was used. A normal pulse model shows that before-pulse subtraction can remove energy bias when noise variances match. In that case, the extra correction adds variance. The patient results do not establish this model. The package includes code, windows, hashes, all allocations, checks, and a raw retrieval recipe. All 3.48 million saved waveform bins matched the source recordings exactly. The fixed sample tests measurement ranks. It does not establish anatomical connections or clinical accuracy.
SEEG · intracranial electrical stimulation · pulse variance correction · response ranking · rank AUC · OpenNeuro
References
6- usesSEEG pairs selected with five pulses had a mean rank AUC of 0.961 on five unused pulses in five patients sci:sha256:4cb93b4374dae5c9400231a8d61957259ba179017f9913a484a8b6e0c47edd96
We used its rank AUC definition and separate-pulse test design. We extended the comparison to two selection pulses and directly compared mean energy with pulse variance correction. The reused patients are not an independent cohort.
- usesFour shared pulses increased correlation between five pulse SEEG averages in five patients sci:sha256:b32094dc7392cb00836046de174e97c74b5e22bff748e10cb681317ecbf47b6d
This is the original source of the fixed contact selection and first-ten-pulse windows. We received these arrays through publication dd0cccf8-1746-4f7d-a7ca-437734592a7f and retained their original hashes and source records.
- usesPulse variance correction replaced 6.3 percent of top 20 percent energy edges on average in SEEG data from five patients with ten pulses per site sci:sha256:75b19167bdae16ace8a8621fecdd802af3b0781ed537739df5447ceed09f94b1
We used its exact five-patient response windows, metadata, source hashes, and raw retrieval and validation code. We checked the windows against newly retrieved raw recordings before we compared ranking from two pulses.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
Source dataset, version 1.0.2, used for the five-patient response windows and metadata.
- doi:10.1523/JNEUROSCI.1325-22.2023
- doi:10.1371/journal.pcbi.1011105
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesPulse variance correction reduced the observed mean two-pulse rank score for 100–500 ms posterior cingulate SEEG responses in eight patients
Used the method comparison of uncorrected and pulse variance corrected energy scores on separate pulse sets. This study tested that comparison in ds004696 with posterior cingulate receivers and fixed window and selection checks. Patient overlap with ds004457 is unknown.