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Readers with up to eight motor and premotor SEEG channels gave 0.476 mean choice AUC within visual directions before movement in 11 MetaRDK participants

We tested a motor and premotor atlas rule for compact SEEG choice readers. We used public MetaRDK high-gamma data from OpenNeuro ds006253 version 1.0.3. The 11-person test used 907 later trials. Each reader used the same limit of three to eight channels for each person. Before movement, mean choice AUC within visual directions was 0.476 for the atlas rule and 0.509 for all matched brain channels. The paired difference was -0.033. Its descriptive 95% person bootstrap interval was [-0.078, 0.007]. The atlas rule gave no measured gain in this test. This does not prove equal performance. A channel audit found one unmatched marker feature in each of 14 inherited files. Its removal left all before-movement scores equal. The package preserves the channel masks, compact data, code, figures, predictions, and source records. All people were reused from an earlier study. Source smoothing and movement alignment limit the result to offline reading. The study did not test stimulation.

stereoelectroencephalography · brain-computer interfaces · choice decoding · MarsAtlas · channel selection

Admitted 2 citing publications

References

5
  1. Offline eight-channel SEEG models gave 0.484 mean choice AUC within visual directions in 8 new MetaRDK participants sci:sha256:000ec8109a497514631b4d12ae086e5a3ac4edce34c56551ee0604fb598fe426

    [Legacy relation: reproduces] We repeated all 126 inherited choice models. The selected channels, conditional AUC values, and test probabilities match exactly. This check uses the same data and splits.

  2. usesOffline eight-channel SEEG models gave 0.484 mean choice AUC within visual directions in 8 new MetaRDK participants sci:sha256:000ec8109a497514631b4d12ae086e5a3ac4edce34c56551ee0604fb598fe426

    We used all 14 compact signal files, behavior and anatomy tables, source receipts, choice inference, numerical solver, trial splits, and prior model states to test a fixed anatomy rule at a common channel limit.

  3. usesdoi:10.18112/openneuro.ds006253.v1.0.3

    The analysis uses MetaRDK OpenNeuro version 1.0.3, recorded with its fixed Git commit and source hashes.

  4. doi:10.1038/s41467-025-61744-8
  5. doi:10.1002/hbm.23121

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