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Energy centroids reduced repeat timing gaps more before than after stimulation in seven SEEG patients with fixed 400 ms windows

We compared energy centroid times with absolute peak times in public SEEG data from seven patients. The fixed cohort had 80 stimulation groups and 1,516 contact-group pairs. We used separate sets of five pulses, all 126 partitions, a 45 Hz filter, and fixed 400 ms windows. After stimulation, the repeat gap fell from 61.4 to 34.1 ms. Before stimulation, it fell from 131.1 to 49.2 ms. The paired reduction contrast was -54.7 ms. Its patient bootstrap 95 percent interval was -67.9 to -38.7 ms. The exact two-sided sign-flip probability was 0.015625. The test assumes independent patients and symmetric differences under a zero null. All seven contrasts had the same direction. Planned checks kept the cohort direction. A Gaussian-sample proof showed that centroids can agree without a shared signal. Repeat gaps do not establish accurate neural response times. The package preserves data, source identities, code, results, and repeat instructions.

stereoelectroencephalography · SEEG · energy centroid · repeatability · electrical stimulation · signal timing

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References

4
  1. usesFive pulses gave smaller 100–500 ms peak gaps than two pulses in seven limbic SEEG patients after fixed correction and 45 Hz filtering sci:sha256:1a90f67f4b64d631579af9d6d0f5ba2889176ab966fd947fa80e825719fa3389

    This work uses the exact compact 45 Hz voltage arrays, fixed cohort, pinned source identities, metadata copies, and retrieval code. The earlier peak results motivated the new centroid comparison. All 160 group-window peak summaries were reproduced.

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

    This work keeps the earlier stimulation group and off-shaft contact selection, pulse mappings, and source processing rules. It does not select the cohort by the new timing results.

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

    The analysis uses the fixed cohort and source data from OpenNeuro ds004696 version 1.0.1.

  4. doi:10.1523/JNEUROSCI.2201-22.2023

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