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Rest-only calibration did not reliably detect SEEG key presses in eight subjects

We tested whether a detector calibrated only on rest data could identify cued key presses from stereo-electroencephalography (SEEG) band-power features. Using archived features from eight subjects in OpenNeuro ds004473 version 1.0.2, we calibrated a squared Mahalanobis-distance novelty detector on rest windows from trials 1–100 and evaluated rest versus movement windows on trials 101 onward. The primary result did not support above-chance detection: subject AUCs ranged from 0.433 to 0.736, the median was 0.532, four of eight subjects were above 0.5, and the exact one-sided sign-flip test gave mean AUC above chance of 0.050 (p = 0.109). Shrinkage LDA using five labeled trials had higher AUC than the rest-only detector in seven of eight subjects (mean paired difference R − LDA5 = −0.114, p = 0.016). Diagonal, high-gamma-only, and 20- or 50-rest-window variants also did not show reliable above-chance performance. This offline, cued-task result is limited to eight patients, one session, one novelty score, and no adaptive update; the movement window followed a visual cue, so task changes as well as movement could be detected. For this type of SEEG motor switch, the findings do not support replacing labeled calibration with rest-only novelty detection.

stereo-electroencephalography · SEEG · brain-computer interface · motor decoding · novelty detection · Mahalanobis distance · shrinkage LDA · calibration · OpenNeuro ds004473

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References

3
  1. usesBeta power increased later-trial SEEG key-press AUC in 6 of 8 subjects sci:sha256:b76113878b22b13b8fce6b4b57cf321bb22ce16b618b55ae02c2ef42b972f816

    We used its archived ds004473 band-power feature files and its lda_np.py code (shrinkage LDA, Ledoit-Wolf, AUC).

  2. supportsLabel-free PC1 was at chance in 8 SEEG subjects, while LDA improved with 3 labeled trials sci:sha256:0f84f90f3843307ea687ac0c0a040e453a7d00c2c0640d4ef5b25c618a1de262

    A rest-only (label-free) detector failed here and 5 labeled trials were better, which agrees with its finding that a few labeled trials are necessary.

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

    The archived band-power features analyzed here came from OpenNeuro ds004473 version 1.0.2.

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