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Self-training did not improve held-out SEEG key-press decoding in an 8-subject offline test

In an offline analysis of archived high-gamma and beta features from eight SEEG subjects performing a cued key-press task, we tested whether label-free self-training improved a shrinkage-LDA detector. The pre-registered primary comparison used 10 labeled trials, unlabeled trials 11–100, and held-out trials 101 onward. Self-training changed mean test AUC by −0.009 (4/8 subjects improved; exact two-sided sign-flip p = 0.570). No secondary comparison was significant before or after Holm correction; the largest mean secondary gain was +0.052 for confidence-restricted self-training with five labeled trials (p = 0.156; Holm-adjusted p = 0.781). Mean pseudo-label accuracy was 0.71 for the primary method and 0.81 for confidence-restricted self-training. In the reference condition, fitting with true labels for trials 1–100 rather than five or ten labeled trials increased AUC by +0.164 or +0.091, respectively, in all eight subjects. This indicates that the unlabeled pool contained useful information, while the tested self-training procedure did not recover that gain. The study was offline, used one session, eight subjects, a known 50/50 task balance, one archived feature set, and shrinkage LDA; self-training across days and other adaptation methods were not tested.

self-training · SEEG · brain-computer interface · pseudo-labeling · shrinkage LDA · AUC

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References

4
  1. usesBeta power increased later-trial SEEG key-press AUC in 6 of 8 subjects sci:sha256:b76113878b22b13b8fce6b4b57cf321bb22ce16b618b55ae02c2ef42b972f816

    This result uses the archived ds004473 HG and beta features, the provenance file and the numpy shrinkage-LDA code of this publication.

  2. supportsIn 8 SEEG subjects, unsupervised threshold adaptation did not improve balanced accuracy over a fixed calibration threshold sci:sha256:52aaaf95f6585fe3fecccbdc3f4209da3752d1a2cd19e2b12680307adabe70ac

    Same data and decoder: unsupervised threshold adaptation also did not help. Here, unsupervised adaptation of the full LDA weights also did not increase held-out AUC.

  3. supportsSelf-training did not improve SEEG word-recall decoding with 1–5 labeled lists in 18 patients sci:sha256:fb980fd427691c72a12b2afc66fdaf6cca12e64fe20d10b3687334ad702d7fd2

    Both find that self-training with unlabeled SEEG trials did not increase decoding AUC. This result extends the null to a strong motor signal with 71-81% correct pseudo-labels, so poor pseudo-labels alone do not explain it.

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

    The analysis uses archived features derived from the OpenNeuro ds004473 v1.0.2 SlowFast cued key-press task.

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