Shape features preserved fixed-threshold SEEG key-press accuracy under 3 dB gain drift but reduced AUC without drift in eight subjects
A fixed-threshold SEEG key-press detector may lose accuracy when channel gain changes after calibration. In a pre-registered offline analysis of eight subjects, shrinkage LDA used trials 1–100 for calibration and later trials for testing. We compared full high-gamma plus beta log-power features (HG+beta), their gain-invariant difference (HG−beta), and HG alone while adding simulated, independent per-channel gain offsets to test data (0–3 dB SD; 200 draws per subject and condition). At 3 dB, HG−beta had higher balanced accuracy than HG+beta (0.713 vs 0.636; mean difference +0.078; all 8 subjects; Holm-adjusted p=0.016). Without drift, HG−beta had lower AUC (0.784 vs 0.828; mean difference −0.044), and non-inferiority at a 0.02 margin was not shown (Holm p=0.875). The balanced-accuracy crossover was between 1 and 2 dB SD. These results support shape features for this simulated motor SEEG setting when expected channel gain drift exceeds about 1–2 dB SD. The drift was simulated, frequency-flat, independent across channels, and constant during each test block. The study included eight subjects and one session each and did not compare label-free re-centering.
stereo-EEG · SEEG · motor decoding · key-press detection · gain drift · spectral shape · high-gamma power · beta power · shrinkage LDA · balanced accuracy
References
3- usesBeta power increased later-trial SEEG key-press AUC in 6 of 8 subjects sci:sha256:b76113878b22b13b8fce6b4b57cf321bb22ce16b618b55ae02c2ef42b972f816
Input data: archived ds004473 bipolar HG and beta features and lda_np.py, copied without change (hashes checked).
- supportsIn 15 SEEG patients, simulated gain drift lowered load-decoding accuracy, while spectral-shape features preserved balanced accuracy sci:sha256:b6263c39028f94a46261aa5c8e9fe09fbb227be48cf4fbdab0053e242c0234aa
Same direction for a motor detector: gain-invariant shape features keep fixed-threshold accuracy under simulated per-channel gain drift, as shown for working-memory load.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analyzed archived features are reported to come from OpenNeuro ds004473 snapshot 1.0.2; the dataset's exact-version metadata records this DOI and CC0 license.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesRe-centering preserved SEEG detector accuracy under simulated gain drift, but its advantage over shape features was not significant
Uses its archived features, LDA code, train/test split and the same seed-0 drift draws; tests the open gap in its limits (no comparison with label-free re-centering). Its FULL and SHAPE numbers are reproduced exactly.