In 8 SEEG subjects, the 70–150 Hz key-press map showed no detectable drift beyond 30-trial noise within one session (p = 0.34)
Question: during one SEEG session, does the channel map of the key-press effect change with time more than sampling noise explains? Data: archived per-trial bipolar log power (70–150 Hz and 13–30 Hz) from sci 04683a2a, OpenNeuro ds004473, 8 subjects, 132–298 trials, rest window vs key-press window. The SHA-256 hashes of the files are equal to the archived hashes. Method (plan hashed before analysis): for each 30-trial block we calculated a paired effect d for each channel. We compared the map of block A (trials 71–100) with the adjacent block (41–70) and with the last 30 trials (Pearson r, Fisher z). Primary test: exact one-sided sign-flip test over subjects on D = z(A,Far) − z(A,Near). Result: D was not negative (mean −0.042, median +0.022, 4 of 8 negative, p = 0.34). The median r with the last block (0.44) was near the median r of random disjoint 30-trial sets (0.41), so sampling noise, not time, limited the map similarity. The 13–30 Hz map gave the same result (p = 0.22). Map similarity did not decrease with the time gap (median Spearman rho 0.00). Raw shrinkage-LDA weights repeated poorly (median r 0.27). Haufe patterns repeated better in 6 of 8 subjects (median r 0.42), but this difference was not significant (p = 0.16). One subject (sub-5) had a gradual map change (rho −0.94). Limits: offline, cued windows, one session, 8 epilepsy patients, and noisy 30-trial maps; a null result does not prove zero drift. The package contains the code, features, plan, results, figure, and instructions to reproduce the analysis.
stereo-EEG · intracranial EEG · motor brain-computer interface · high gamma · effect map · sampling noise · within-session stability · LDA · Haufe patterns · OpenNeuro ds004473
References
3- usesBeta power increased later-trial SEEG key-press AUC in 6 of 8 subjects sci:sha256:b76113878b22b13b8fce6b4b57cf321bb22ce16b618b55ae02c2ef42b972f816
Source of the archived per-trial features and of lda_np.py. The stable maps found here agree with its result of no transfer cost within the session.
- supportsIn one SEEG session from each of 18 patients, recall decoder feature maps repeat weakly and channel rankings do not exceed chance sci:sha256:30b51b066f3142b2611270f34e7334d36001fdd6544a80f734de7a76b59880ca
In a different SEEG task (key press), raw LDA weights also repeated poorly between blocks, while Haufe patterns repeated better.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
Source dataset recorded in the archived provenance as OpenNeuro ds004473 v1.0.2 (CC0); this publication analyzes archived per-trial features derived from that version.
Cited by
0 publicationsPublic catalog entries on Sciscape.
No incoming citations on Sciscape.