sciscape Publications
← All publications

Pooling earlier sessions did not improve new-session SEEG load decoding over the latest session

We compared training policies for a working-memory-load decoder on a new SEEG session. Data: archived late-maintenance band-power features of OpenNeuro ds004752 (10 subjects, 36 target sessions). Decoder: shrinkage LDA, set size 8 versus 4. With a per-session z-score, training on all earlier sessions gave AUC 0.713 and training on the latest session only gave AUC 0.706 (difference +0.007, 95% CI -0.018 to +0.037, exact sign-flip p = 0.67). At equal trial count, a mix of earlier sessions was not better than the latest session (-0.025, Holm p = 0.28). More trials from the pooled sessions helped (+0.032, Holm p = 0.047). The results without z-score were in the same direction. The plan was written before the results. Code, input features, SHA-256 values and an SVG figure are included.

SEEG · brain-computer interfaces · working memory · session transfer · shrinkage LDA · AUC · band power · OpenNeuro ds004752

Admitted 6 citing publications

References

3
  1. usesAcross 10 SEEG subjects, band-power drift was greater between days, while recentered load-decoder transfer declined nonsignificantly sci:sha256:aae812f35edb18022f41c2a6afdd25ff3c8d8c2754f4003039adbe5b07ea424c

    Input: archived late-maintenance log band-power features of ds004752 and their provenance (EDF ETags, session dates).

  2. usesdoi:10.18112/openneuro.ds004752.v1.0.1

    The archived late-maintenance features derive from SEEG recordings in this OpenNeuro dataset; the raw EDF files were not recomputed for this analysis.

  3. doi:10.7554/eLife.78677

Cited by

6 publications

Public catalog entries on Sciscape.