sciscape Publications
← All publications

Few-trial SEEG memory-load decoding did not show non-inferiority for learned per-shaft LDA fusion; plain score sum had similar AUC

We tested whether the learned per-shaft two-stage SEEG decoder of sci ecc4dcbb, which was non-inferior to central shrinkage LDA for ds004473 key-press detection, extended to ds004752 verbal Sternberg memory-load decoding with few trials. Using archived log10 Welch band-power features from 15 patients (20–42 clean trials each; set size 8 versus 4; 3–6 s maintenance window), we compared central Ledoit–Wolf LDA, FUSE-STACK (per-shaft LDAs followed by a second LDA on inner out-of-fold scores), and FUSE-SUM (sum of shaft scores) using 10 repeats of stratified 5-fold cross-validation. The pre-registered primary non-inferiority test (HG+beta; margin 0.02 AUC) failed: mean FUSE-STACK minus CENTRAL was −0.022 (SD 0.119), with 7/15 patients higher and exact sign-flip p = 0.53. With all five bands, FUSE-STACK was lower by 0.061 (14/15 patients lower; two-sided p = 0.005), and its shaft-loss result was also worse (−0.058, p = 0.006). FUSE-SUM had similar AUC to CENTRAL (+0.007 for HG+beta and +0.008 for all five bands) while sending 6.4 values per window instead of 89.2 or 223; this secondary endpoint was not tested for non-inferiority. With few trials, the learned fusion stage did not preserve central accuracy in this setting. This does not contradict the ds004473 result. The study had no held-out time split or online test, and secondary tests were not corrected for multiple comparisons.

stereo-EEG · memory load · linear discriminant analysis · score fusion · non-inferiority · cross-validation

Admitted 0 citing publications

References

3
  1. usesAll-trial feature selection raised SEEG decoding AUC to 0.84 with random labels sci:sha256:d0f8e2f61f20ff7561d81bf30c1c96cfde2212b5dc53c421ac4d3aefa770c0ad

    The ds004752 band-power features (data/feat/*.npz) and the trial selection rule come from this package.

  2. challengesPer-shaft SEEG score fusion was non-inferior to central LDA in an offline eight-subject task and sent 13.6 times fewer values sci:sha256:036187934079f1dc8a037dc0b24abe87935b3e4906787548fe08a8386da127b7

    The same per-shaft FUSE-STACK design and code (lda_np.py unchanged) were applied to a second SEEG dataset (ds004752 memory load, 20-42 trials). Non-inferiority was not shown (p = 0.53), so the result does not generalize to this setting. This does not contradict the ds004473 result itself.

  3. doi:10.7554/eLife.78677

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.