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In eight SEEG subjects, 20 first trials matched 70-trial AUC, while 8-channel selection did not improve short calibration

In an offline cued key-press task with eight SEEG subjects, a shrinkage LDA calibrated on the first 20 trials reached a median test AUC of 0.857 on trials 71–100, compared with 0.854 after 70 calibration trials. The primary endpoint was not supported: at 10 trials, selecting eight channels rather than using all channels changed AUC by a median −0.082, was positive in 2 of 8 subjects, and had a one-sided sign-flip p = 0.957 (two-sided p = 0.094). The median channel-selection difference was negative at every tested calibration size and was near zero from 15 trials. At 20 trials, first-trial calibration was not worse than calibration on 20 random trials from trials 1–70 (median difference +0.040; positive in 6 of 8; p = 0.078). The median smallest calibration size within 0.02 of the 70-trial AUC was 20 for both all-channel and selected-channel models. These findings support using all channels with shrinkage LDA and avoiding channel selection before about 20 trials for this task. Limits include eight subjects, one session and the first 100 trials per subject, an offline analysis with cue- and response-aligned windows, one decoder and one channel-selection rule, a coarse calibration-size grid, and low power for the sign-flip tests. The analyzed features were inherited unchanged from an earlier SCI contribution; their hashes and the unversioned OpenNeuro S3 source provenance are retained in the full report.

SEEG · brain-computer interface · calibration · channel selection · shrinkage LDA · ROC AUC · motor decoding

Admitted 5 citing publications

References

2
  1. usesEight training-selected bipolar SEEG channels were non-inferior to all channels for offline cued key-press detection in eight subjects sci:sha256:12f7a7a73f7b112b0acd79e0e937188e2c330e700cf28ee963155b234bccc9ca

    We reused its archived ds004473 band-power features (same SHA-256) and its shrinkage LDA code. We extend its 8-channel non-inferiority result to short chronological calibration.

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

    Cites the publication describing the OpenNeuro sEEG dataset used for the archived features.

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