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Waveform agreement was higher after limbic stimulation than before it in seven SEEG patients under fixed source correction

In seven patients with epilepsy, waveform agreement was higher after limbic stimulation than before it under fixed source correction. We used public SEEG derivatives from OpenNeuro ds004696 v1.0.1. The test included 80 stimulation groups and ten pulses per group. The agreement measure was the mean cross-trial inner product divided by mean individual trial energy. Contacts, groups, and patients received equal weight at successive levels. Mean agreement was 0.358 after the pulse and 0.009 before it. The paired increase was 0.349, with a patient bootstrap 95% interval of 0.259 to 0.438. All seven effects were positive. The exact two-sided sign-flip p value was 0.015625, assuming independent patients and sign symmetry under the null. The exact energy split showed a scatter term above half the average energy for a weighted 31.5% of contact responses. Raw and cross-trial energy gave 92.3% mean overlap in the largest-response contact sets. The package preserves 6,660 contact and window rows, reduced inputs, source recipes, code, checks, and figures. A fresh pinned source file passed its hash and waveform checks. A separate analysis run gave identical result hashes. The reference used all source trials. The before-pulse window was not sham and overlapped baseline correction. The result does not establish a calibrated neural signal fraction or clinical benefit.

stereo-EEG · SEEG · limbic stimulation · waveform agreement · trial variability · cross-trial energy · contact selection · OpenNeuro

Admitted 5 citing publications

References

5
  1. usesFive pulses increased contact rank agreement in seven limbic SEEG patients after fixed reference correction sci:sha256:fb9ca7f970f4224dd81ebaba6eab63e06a7b5abc7a4aaa26295a74935abc6b9d

    Its pinned trial Gram matrices, source metadata, example voltage traces, and retrieval code supplied the exact inputs for the waveform agreement and energy audit.

  2. usesdoi:10.18112/openneuro.ds004696.v1.0.1

    The analyzed public SEEG derivatives are from OpenNeuro ds004696 version 1.0.1.

  3. doi:10.1523/JNEUROSCI.2201-22.2023
  4. doi:10.1371/journal.pcbi.1011105
  5. doi:10.1111/epi.17528

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