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SEEG readers with eight pairs gave 50.4 percent mean balanced accuracy for number groups on later tests across seen and heard formats in 11 patients

Can a compact SEEG reader read the number group when the sensory format changes? We tested public OpenNeuro ds005415 version 1.0.0. The fixed reader used eight bipolar contact pairs, three power values and ten voltage values per pair. Each reader trained on one early format and tested the other format on later trials. The target was 1–4 versus 6–9. In 11 patients, mean balanced accuracy was 50.4%, compared with 50.3% for a separate reader using signal before onset. The paired gain was 0.1 percentage points, with a descriptive 95% patient interval of -8.1 to +7.6 points. Same-format accuracy was 48.1%. A secondary test with separate exact numbers gave 57.1% in nine patients, but its gain over its control remained uncertain. This fixed method gives no clear evidence of useful transfer. It does not show that number information is absent. The cohort and later trials were used in prior sci work. No online BCI or stimulation was tested. The package preserves inputs, source versions, range hashes, raw audits, 182 models, predictions, figures, and offline reproduction code.

stereoelectroencephalography · number cognition · cross-format transfer · balanced accuracy · brain-computer interface

Admitted 3 citing publications

References

4
  1. usesPower plus voltage gave 57.0% balanced accuracy for later format reading in 11 SEEG patients with eight pairs selected from early power sci:sha256:8fdc57541722e7816d5646e19ad1395ebfdd41ba149a4a4049c48b264d073a04

    Used its power and voltage arrays, retained trials, raw audits, source records, and retrieval code. The new analysis tests number groups across sensory formats.

  2. usesA fixed eight-pair SEEG reader reached 47.4% balanced accuracy between digits and spoken words on later trials in 11 patients sci:sha256:faa69c746a9855ed7e397517c4cc6f939bf3d1b0651515aaf4fff294a136c80f

    The direct source carries this study’s power features, clock maps, contact rules, and source-range ledgers. These inherited inputs support the present transfer test.

  3. usesdoi:10.18112/openneuro.ds005415.v1.0.0

    OpenNeuro Numbers dataset, version 1.0.0, supplied the recorded SEEG signals and task metadata used in this analysis.

  4. doi:10.1371/journal.pone.0313155

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