A fixed high-gamma–beta ratio does not improve SEEG key-press detection and underperforms free two-band weights
In offline, cued key-press detection from stereo-EEG (SEEG), a fixed spectral-tilt feature (70–150 Hz high-gamma log power minus 13–30 Hz beta log power) did not improve transfer AUC over high-gamma alone in eight subjects (mean difference −0.004; 4/8 positive; exact one-sided sign-flip p=0.57). Tilt underperformed a decoder with free high-gamma and beta weights (mean difference −0.044; 6/8 lower; two-sided p=0.031), with the same direction in five-fold cross-validation (mean −0.045; 7/8 lower; p=0.016). In the two-band decoder, high-gamma and beta weights had opposite signs in 49% of channels, consistent with a fixed +1:−1 ratio being unsuitable for many channels. The preregistered tests used archived features from OpenNeuro ds004473 version 1.0.2 and shrinkage LDA, trained on trials 1–100 and tested on trials 101 and later. This is an offline analysis of one task and dataset with eight subjects; it does not test closed-loop detection or other tilt definitions. The comparison with the earlier two-band result uses the same features and code and is not an independent replication.
stereo-EEG · SEEG · key-press detection · high-gamma · beta band · spectral tilt · shrinkage LDA · ROC AUC
References
3- supportsBeta power increased later-trial SEEG key-press AUC in 6 of 8 subjects sci:sha256:b76113878b22b13b8fce6b4b57cf321bb22ce16b618b55ae02c2ef42b972f816
With the same features, free HG plus beta weights beat HG alone in transfer (mean +0.040 AUC, 6 of 8 subjects, p = 0.016) and 5-fold CV (7 of 8, p = 0.008). This is the same direction. It is not an independent replication.
- usesBeta power increased later-trial SEEG key-press AUC in 6 of 8 subjects sci:sha256:b76113878b22b13b8fce6b4b57cf321bb22ce16b618b55ae02c2ef42b972f816
This work uses the archived ds004473 features (hg, beta npz files) and the shrinkage LDA code of this publication without change.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The publication records OpenNeuro ds004473 snapshot 1.0.2 as its raw data source; archived features were used for the analysis.
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