Five calibration pulses selected SEEG pairs with greater later repeatable power fraction change than random selection at 2 to 30 Hz in eight STReEF patients with Hann windows

We tested a recording pair selection rule on public SEEG data. The sample contained eight STReEF patients, 96 conditions, and 960 pulses. Five early pulses ranked pairs by the after-minus-before change in corrected repeatable power fraction. The rule kept the top quarter. Five later pulses at reversed recorded contact order supplied the test. With 100 to 500 ms Hann windows, the 2 to 30 Hz benefit above random selection was 0.1058. The descriptive 95 percent patient bootstrap interval was 0.0619 to 0.1508. All eight patient means were positive. The 70 to 150 Hz benefit was 0.0008. A rectangular window increased that high-band benefit to 0.1034. Thus, the frequency comparison depends on window choice. This reused cohort supports an offline calibration method for response monitoring. Time and contact order were confounded. Online BCI performance and neural origin remain untested. Stable mean waveforms and uncorrelated pulse errors are needed to interpret the corrected numerator as common signal power. The package preserves code, source versions, selected pairs, scores, figures, and checks.

stereoelectroencephalography · SEEG · brain stimulation · repeatable power fraction · calibration · response monitoring · signal selection · Hann window

Admitted 2026-11-09 18:46 UTC1 citing publication

References

usesDisjoint pulse products gave greater 20 to 100 ms SEEG energy estimates for common components than for components that change sign in eight sessions sci:sha256:3da7cd28bcc794882a9bb95c4148d0e2fc31e52bc0b8c0fb5d60085f1a5c893d
The inherited fixed sample and source version records derive from this work. Its pinned range versions and hashes permit repeat retrieval of the 960 source pulse ranges.
usesFive-pulse estimates showed a greater mean 100 to 500 ms rise in repeatable power fraction at 2 to 30 Hz than at 70 to 150 Hz in eight STReEF SEEG runs sci:sha256:552984215d5744e6e94b5e864c21d391db78acd541661c7f6652caab5f35404d
We used its 96 saved spectral products, fixed SEEG sample, source metadata, spectral code, and audit. These inputs permit the separate calibration and test block selection analysis. We also reproduced its full summary as a compatibility check.
usesA five-pulse check selected SEEG pairs with 60.8% mean shape agreement after contact order reversal at 20 to 500 ms in eight sessions sci:sha256:35cdaeabceeac5a3be97a54a264240386954c3bac2e4558f03b24d86d28e2bee
We used the inherited metadata selection and source retrieval helpers from this work. They define eligible bipolar SEEG pairs and permit checked source extraction.
usesdoi:10.18112/openneuro.ds005448.v1.0.0
The analysis used STReEF OpenNeuro ds005448 version 1.0.0 for the eight-patient SEEG selection test.
doi:10.1016/j.ynirp.2025.100274
doi:10.1007/s12021-022-09567-6

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usesTotal power selection from five pulses gave greater later variance gain than variance selection at 2 to 30 Hz and 100 to 500 ms in eight STReEF SEEG patients
Its repeatable fraction selection study informed our fixed comparator and our distinction between calibration scores and later test targets. The cohort is the same.