A 0.1 s SEEG band-power window lowers AUC versus 0.5 s but raises the bit-rate upper bound in an offline key-press task
We measured the trade-off between analysis window length and decoding performance for cued key-press detection in stereo-electroencephalography (SEEG). The analysis used the first 100 trials from each of 8 subjects in OpenNeuro ds004473 v1.0.2, good contacts in an adjacent bipolar montage, log band power at 70–150 Hz (high gamma, hg) and 13–30 Hz (beta), shrinkage LDA, and 5-fold cross-validation. Filtering used a fixed 1.5 s segment and an offline, non-causal zero-phase filter; window lengths of 0.05–0.5 s refer to power integration, not causal latency. In the pre-registered hg test, AUC(0.1 s) minus AUC(0.5 s) averaged −0.063 (median −0.073), and 7 of 8 subjects lost AUC. Non-inferiority at margin 0.05 was not shown (seed-0 p = 0.74). Across 10 CV seeds, the mean difference was −0.067 (p = 0.86); the 0.5 s window was better in all 8 subjects (p = 0.004). The 0.1 s window produced a higher hg Wolpaw bit-rate upper bound than the 0.5 s window in 7 of 8 subjects (median increase 0.82 bits/s, p = 0.008). Windows of 0.3 s were non-inferior to 0.5 s for all three feature sets (p ≤ 0.008). These results apply to this offline, balanced, two-class task. The move window was centred at key-press onset and therefore includes post-onset data; this is not a movement-prediction result. The bit-rate upper bound assumes one decision per window, no gaps, and does not account for false alarms. The sample includes 8 subjects, one task and clinical electrode placements.
stereo-electroencephalography · SEEG · brain-computer interface · key-press detection · band power · window length · AUC · bit rate · shrinkage LDA · non-inferiority
References
2- usesEight training-selected bipolar SEEG channels were non-inferior to all channels for offline cued key-press detection in eight subjects sci:sha256:12f7a7a73f7b112b0acd79e0e937188e2c330e700cf28ee963155b234bccc9ca
Reuses the trial definition, channel set, bipolar montage, filter and LDA code. The 0.5 s features reproduce the archived features exactly.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analysis used the first 100 cued key-press trials from 8 subjects in OpenNeuro ds004473 v1.0.2.
Cited by
4 publicationsPublic catalog entries on Sciscape.
- supportsIn eight SEEG subjects, beta power did not lose more key-press detection AUC than high-gamma power with shorter causal windows
With a causal filter, 70-150 Hz AUC at 0.1 s was also lower than at 0.5 s (mean -0.042, 6/8 subjects; their zero-phase result: -0.063, 7/8).
- usesIn 8 SEEG subjects, calibration CV did not significantly overstate held-out ITR; oracle thresholds and window-only timing raised estimates
We used its Wolpaw bit-rate approach for 2 classes (CV in trials 1-100, window-only time) as the optimistic estimate E1, and added a held-out test on trials 101+ with a fixed threshold and task time.
- usesA 0.2 s movement window was non-inferior to 0.5 s in 15 SEEG patients
Source of the 0.05 AUC non-inferiority margin and of the pre-registered prediction; that work tested 0.1 s in ds004473, this work tests 0.2-1.0 s in ds006253.
- supportsIn eight SEEG subjects, multitaper power did not improve 0.1 s key-press decoding over Hann; Hann performed better at 0.5 s
Short 0.1 s windows decreased key-press AUC here too, and no taper choice removed the loss.