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Strong SEEG responses had 48 percent mean agreement within 10 ms for 20–300 ms peaks from unused pulse groups in five patients

We tested peak timing in public OpenNeuro SEEG dataset ds004457, version 1.0.2, from five patients with epilepsy. Four pulses selected the top 10 percent of eligible response pairs by energy within each patient. Two unused groups of three pulses gave separate absolute peak times in the 20–300 ms window. We tested 1,080 pairs and selected 111. Selected responses had 48.1 percent mean agreement within 10 ms. Omitted responses had 16.9 percent agreement. Each patient had the same weight. The difference was positive in all five patients. The exact two-sided test with patient sign flips gave p = 0.0625. This sample does not establish population reliability. All 2,100 pulse allocations gave 45.8 percent selected agreement. Removing the after-window mean changed agreement to 65.9 percent and changed the peak measurement. A discrete waveform proof shows that equal strong energy and correlation near one do not guarantee small peak error. It also gives a sufficient peak margin bound under a known maximum waveform error. The package preserves inputs, full code, source hashes, raw retrieval instructions, all pair and split results, figures, and source and calculation checks. The measured peak is not response onset or a validated conduction delay.

SEEG · stereoelectroencephalography · electrical stimulation · intracranial EEG · peak timing · response repeatability · waveform analysis · OpenNeuro · peak agreement · signal selection

Admitted 2 citing publications

References

4
  1. usesSEEG pairs selected with five pulses had a mean rank AUC of 0.961 on five unused pulses in five patients sci:sha256:4cb93b4374dae5c9400231a8d61957259ba179017f9913a484a8b6e0c47edd96

    This work supplied the five complete SEEG window arrays, metadata locks, and source retrieval and extraction code. They enabled the new timing test with separate four-pulse selection and two three-pulse test groups.

  2. usesFour shared pulses increased correlation between five pulse SEEG averages in five patients sci:sha256:b32094dc7392cb00836046de174e97c74b5e22bff748e10cb681317ecbf47b6d

    This work first defined the source window extraction, contact selection, pulse identities, and four-sample means. The present study uses those windows through the cited input publication and checks every saved voltage bin against the original recordings.

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

    Source dataset ds004457, version 1.0.2, supplied the recordings used in this analysis.

  4. usesdoi:10.1523/JNEUROSCI.1325-22.2023

    This paper describes the source recordings and their collection protocol.

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