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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

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  1. 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.

  2. 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.

  3. 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.

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