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Eight selected SEEG channels gave 56.2% mean balanced accuracy for cue direction on later trials in eight sessions

We tested whether eight SEEG channels selected from early trials could read cue direction on later trials. We used 80 trials from each of eight public recordings in OpenNeuro ds004473. Each model trained on 48 trials and tested on 32 later trials. Mean balanced accuracy was 56.2% for selected eight, 55.6% for all good channels, and 49.2% for the before-cue control. The selected-eight minus all-channel difference was +0.6 percentage points. Its 95% participant bootstrap interval was -6.9 to +8.6 points. This test does not establish equal performance or an advantage over random sets. Task speed changed between some train and test sets. A post hoc check that excluded 11 zero response intervals gave 55.2% for both selected eight and all channels. The package stores features, code, figures, predictions, models, source versions, hashes, and a raw-data retrieval recipe. The result concerns cue labels in these recordings. It does not isolate motor intent or test brain stimulation.

stereoelectroencephalography · SEEG · brain-computer interface · channel selection · balanced accuracy · cue direction · ridge regression · time-ordered validation

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References

2
  1. usesA fixed offline SEEG decoder reached 53.8 percent balanced accuracy before key responses in eight participants with task blocks held out sci:sha256:bab98032e6c4aff6376600852575c58dbaf32c40787cdaf210e7e1f3f84eddae

    We read this study after the main decoder test. Its label and timing audit prompted an extra check for zero Response-minus-Go-Cue intervals. We did not reuse its code, features, or decoder results.

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

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