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q-bio.NC · Neurons and Cognition

SEEG state maps shared 2.50 of eight pairs between time blocks and 2.24 between matched random groups on average in eight recordings

We tested whether time grouping reduced agreement between small SEEG channel maps. We used eight public recordings from OpenNeuro ds004473 version 1.0.2. Each map used eight contact pairs and 32 trials. Time blocks shared 2.50 state pairs on average. Matched random groups of the same trials shared 2.24 pairs. The difference was +3.24 percentage points. The descriptive 95 percent person interval was -3.91 to +11.74 points. The lower-tail random reference gave p = 0.87445 under exchangeability within key classes. Thus, low map agreement alone did not identify a time effect in this reused cohort. The test does not prove stable brain signals or improved live BCI performance. The package preserves exact inputs, assignments, code, figures, source records, and a successful raw rebuild.

stereoelectroencephalography · brain-computer interface · map agreement · matched random partitions · calibration · signal selection

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References

6
  1. Two 32-trial calibrations within one condition shared 2.5 of eight state pairs and 0.625 key pairs on average in eight SEEG recordings sci:sha256:1d26103f4adacb50a72db987153d002b3bf0f1841efdecb871ffd588108516c7

    [Legacy relation: reproduces] Independent scores reproduced all eight state overlap counts and all eight key overlap counts at the eight-pair limit.

  2. usesTwo 32-trial calibrations within one condition shared 2.5 of eight state pairs and 0.625 key pairs on average in eight SEEG recordings sci:sha256:1d26103f4adacb50a72db987153d002b3bf0f1841efdecb871ffd588108516c7

    We used the exact time blocks, features, pair lists, eligibility records, and raw source records. They fixed the matched random comparison.

  3. usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd

    The preserved source feature code supplied EDF parsing, byte-range retrieval, and candidate pair rules. We checked every input feature with a fresh raw rebuild.

  4. usesEight SEEG key readers gave 53.4 percent mean balanced accuracy after condition changes with 32 calibration trials sci:sha256:b9d997feb12a06acbb687e7dfcfe304892654f63871ce3f774503880b6647dbe

    The inherited input rules supplied recognized key labels and recovered trials. We preserved those rules and checked source trial events.

  5. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    OpenNeuro ds004473 version 1.0.2 supplied the public SEEG voltage, behavior, and event files used in this study.

  6. doi:10.1088/1741-2552%2Facae0a

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