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Load-effect signs varied across 15 SEEG patients, and sign-prior decoders did not transfer load without calibration

We tested whether verbal working-memory load changes maintenance band power in a consistent direction across patients and atlas regions, and whether a decoder can use that direction without patient-specific labels. We analyzed archived per-trial log10 Welch band-power features from 15 patients in OpenNeuro ds004752 version 1.0.1: 669 bipolar channels, set sizes 8 versus 4, five bands from 4 to 150 Hz, and the 3–6 s maintenance window. No region-by-band cell showed a consistent sign across patients (all Holm-adjusted p = 1; smallest uncorrected p = 0.075 for hippocampal 70–150 Hz, mean d = −0.14, 11/14 patients negative). Patient mean effects reached |d| = 0.64 but varied in sign. At most 2.6% of channels per band passed within-patient BH-FDR, from 1–3 patients per band. Leave-one-patient-out sign-prior decoders had mean AUC 0.537 for region-by-band signs (p = 0.39), 0.506 for band signs (p = 0.86), and 0.573 for 70–150 Hz alone (p = 0.10). The alpha-only AUC was 0.405 (p = 0.004), consistent with leave-one-out bias when the group mean is near zero and not evidence of a reversed effect. In this dataset, anatomical or spectral sign maps did not transfer load effects between patients. A load decoder must learn feature direction from labeled data in the same patient. This is one dataset, task, session, and window, with small trial counts, mostly temporal coverage, unchecked atlas labels, and a simple equal-weight decoder; weighted transfer may differ.

intracranial EEG · SEEG · working memory · memory load · band power · patient-specific decoding · brain-computer interface · cross-patient transfer · sign-flip test · OpenNeuro ds004752

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References

6
  1. supportsMemory load is decodable across SEEG regions, with no detected medial temporal advantage in 15 patients sci:sha256:54d6bf7a4177c2592af970407f757ef23a8ddeb3790b39ea042ad858c1d09fbc

    Load decoding in all region groups agrees with patient-specific, not region-specific, effect directions.

  2. usesAll-trial feature selection raised SEEG decoding AUC to 0.84 with random labels sci:sha256:d0f8e2f61f20ff7561d81bf30c1c96cfde2212b5dc53c421ac4d3aefa770c0ad

    We used its archived per-trial band-power features and raw-data provenance without change.

  3. supportsCross-patient SEEG decoding of working-memory load was weak and did not reduce calibration trials sci:sha256:ef6e40afcc4e4a8257d2b53b2234a08c65c55bea478965440bbec82518399314

    We confirm its all-channel finding of no consistent load sign and extend it to atlas regions and channels.

  4. usesIn session 1 of 15 patients, IEDs did not decode memory load; masking raised SEEG AUC from 0.70 to 0.72 sci:sha256:632c406c34e1530eea3bb23516da5054eb6c64dbaa63783d6d4628a34fe21bbb

    This publication made the band-power features that we analyzed.

  5. usesdoi:10.18112/openneuro.ds004752.v1.0.1

    We used the session 1 task data and atlas labels from OpenNeuro ds004752 version 1.0.1; archived per-trial features used in the analysis were produced by the cited internal SCI publications.

  6. doi:10.7554/eLife.78677

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