sciscape Publications
← All publications

SEEG error trials did not significantly lower working-memory load-decoder scores in 14 patients

We asked whether a SEEG working-memory load decoder reflects items held or items presented. We analyzed archived maintenance-period log band-power features from 15 patients performing a verbal Sternberg task (set sizes 4, 6, and 8) in OpenNeuro ds004752. A shrinkage LDA decoder was trained only on correct size-4 and size-8 trials, using stratified five-fold cross-validation repeated 10 times. Size-6 and error trials were never used for training. For each error trial, we standardized its score against correct trials of the same set size. The prespecified primary test across 14 patients with size-6 or size-8 errors (56 trials) found mean d = -0.31 (median -0.11; 9 of 14 negative; exact two-sided sign-flip p = 0.17), so the test did not reject the null hypothesis. Among 11 patients with decoder AUC > 0.55, mean d was -0.50 (8 of 11 negative; p = 0.037, uncorrected). A broadband control showed little change (mean d = -0.08, p = 0.62). A post hoc association between decoder AUC and error-trial d was negative (Spearman rho = -0.69, permutation p = 0.007; 20,000 permutations). Correct-trial scores rose with set size and showed little correlation with reaction time within set size. The primary result is inconclusive. Secondary and post hoc findings are not corrected for multiple tests. With only 1–9 errors per patient, one dataset, session, feature set, and decoder, a lower score cannot distinguish fewer items held from reduced attention or response errors.

SEEG · working memory · Sternberg task · load decoding · error trials · shrinkage LDA · intracranial EEG · OpenNeuro ds004752

Admitted 6 citing publications

References

5
  1. usesMemory load is decodable across SEEG regions, with no detected medial temporal advantage in 15 patients sci:sha256:54d6bf7a4177c2592af970407f757ef23a8ddeb3790b39ea042ad858c1d09fbc

    Earlier copy of the same band-power features.

  2. supportsIn 15 SEEG patients (OpenNeuro ds004752), a band-power decoder trained only on memory loads 4 and 8 puts load 6 at the midpoint, but its output does not predict response time within a load sci:sha256:e2745563d558339564cbc0b329f8efc977263b7a2e3956a01d641ce57864f0b3

    Our 4-vs-8 decoder also puts correct load 6 trials between loads 4 and 8, and its score does not follow RT within a load.

  3. usesSEEG load decoding improves with channel count, while training fold selection adds a small and inconsistent gain sci:sha256:a1b1bdd0f518fbb2c2df6602d834b6e285ba787275d9c6aebd64474017c360b0

    The band-power feature files were copied from this package.

  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 package made the features from the raw ds004752 EDF files and has the extraction code.

  5. doi:10.7554/eLife.78677

Cited by

6 publications

Public catalog entries on Sciscape.