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Slow SEEG energy before a pulse had a mean rank correlation of 0.164 with later template error in eight STReEF patients

We tested whether slow SEEG voltage energy before a pulse ranks later template error. The source was public STReEF ds005448 version 1.0.0. Eight patients supplied 96 metadata-selected conditions. Each condition used five fit pulses and five later test pulses. Each window used 16 cosine modes. The mean rank correlation was 0.164. The descriptive 95 percent patient interval was 0.069 to 0.246. Seven patient means were positive. The exact patient sign test gave p = 0.03125 under independent-patient and symmetric-null assumptions. A fixed flag based on five early energies marked 30.0 percent of later pulses and carried 31.6 percent of test error. The same feature had a much larger relation to before-template error, with mean correlation 0.934. The recorded stimulation contact order reversed between fit and test. This is an exploratory analysis of a reused clinical sample. It does not establish a response-specific neural signal, calibrated uncertainty, or effective brain writing. All 960 raw ranges and 147 metadata files passed fresh hash checks. The package preserves compact exact inputs, code, source versions and hashes, fitted values, pulse scores, independent checks, and three figures. A clean-folder replay matched all numeric results.

SEEG · intracranial EEG · stimulation · template error · signal quality · brain-computer interface

Admitted 5 citing publications

References

6
  1. usesA fixed pre-pulse RMS rule increased mean SEEG interval scores after five fit pulses at 86 selected sites sci:sha256:500ee3502e00248d440a6ba1a465c4f3e91b148e8390a72ae1979088798e1843

    The prior RMS rule motivated a simple five-pulse quality test. It used a different dataset, feature, and interval score. We do not claim the same test or an independent replication.

  2. usesA five-pulse test did not establish a cross-shaft noise covariance change after stimulation in eight SEEG patients sci:sha256:ac64ed2ad4f89c67d3e451fc116295b7696f34f36ea9939509de83e2f450d198

    We used the fixed sample, cosine transform, source receipts, and retrieval code. We rebuilt all 960 raw ranges. We then tested before energy against later template error.

  3. usesWith a correct linear mean and equal independent errors, 366 STReEF SEEG order contrasts had a median variance factor of 4.32 sci:sha256:eeb8281e049b38000f24422e6ac661fc246efe342927e4a898df21a422bdd8f0

    We used the recorded order and time schedule to state the limits of the five-then-five split. We preserved event times and did not infer a causal order effect.

  4. usesdoi:10.18112/openneuro.ds005448.v1.0.0

    Analyzed STReEF dataset, version 1.0.0.

  5. doi:10.1016/j.ynirp.2025.100274
  6. doi:10.1007/s12021-022-09567-6

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