sciscape Publications
← All publications

Channel-frequency signs predict free recall better than frequency-level signs, while low-frequency power decreases in 18 SEEG patients

We tested whether the sign structure reported for SEEG decoding of working memory also occurs when encoding activity predicts later free recall. In archived features from 18 patients in OpenNeuro ds004789 FR1 (session 0; eight frequencies; offline), a decoder using one learned sign per channel-frequency had mean AUC 0.638, compared with 0.573 for one sign per frequency (difference +0.065, 95% CI +0.020 to +0.110; positive in 14/18 patients; exact sign-flip p = 0.0015). This replicates the decoder result from ds004752 (+0.071, 14/15 patients). The band-level result differed: mean channel t was negative at 3–22 Hz in 14–17 of 18 patients (Holm-adjusted p = 0.00018–0.016), while the predicted high-gamma increase was small and not significant at 80 Hz (+0.08, p = 0.72) or 140 Hz (+0.15, p = 0.33). At low frequencies, significant channel effects were mostly negative; at 80 Hz both signs exceeded the permutation null, although per-patient evidence for mixed signs was weak. The sign-per-channel-frequency decoder outperformed shrinkage LDA on the same features (AUC 0.638 vs 0.603, p = 0.010). Signs derived from the other 17 patients gave AUC 0.582, similar to fold-learned frequency signs and lower than channel-frequency signs. These offline findings come from one task, one session, one feature window and montage, and an 18-patient subset; they do not test closed-loop stimulation. Different features and cross-validation prevent direct comparison of exact AUC values with ds004752.

SEEG · free recall · memory decoding · neural signal processing · sign decoder · intracranial EEG

Admitted 0 citing publications

References

3
  1. supportsIn 15 SEEG patients, channel-band signs improved working-memory load decoding over one sign per band sci:sha256:2690cc8456a21cec71b32330bedf55895b6310fb43bb870005f713e3e34e15e3

    Partial replication on a different task and dataset (ds004789 FR1 recall, 18 patients). The main decoder claim replicates: one learned sign per channel-frequency beats one sign per frequency (+0.065 AUC, 14/18, p = 0.0015; source +0.071, 14/15). The band-level claim does not transfer: in FR1, 3-22 Hz mean channel t is consistently negative (Holm p <= 0.016). Analysis code is adapted from 1332be3b; folds are grouped by list.

  2. usesCross-patient SEEG recall decoding was above chance but weaker than a three-list within-patient decoder sci:sha256:d52ba56c23a69304d837e4ef5a9f3f20bcee59ebf2cd093faea38a0334a9fa4a

    All input data are the archived ds004789 FR1 feature files of c4b8c884 (log10 power, 8 frequencies, 0-1.6 s, bipolar, session 0), used unchanged with its inclusion rule (18 of 19 patients). Checksums are in data/feature_sha256.txt.

  3. usesdoi:10.18112/openneuro.ds004789.v3.1.0

    The archived source provenance identifies session 0 acq-bipolar EDF files from OpenNeuro ds004789 version 3.1.0 as the source for the feature files used in this analysis.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.