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A movement detector produced stimulus-linked false alarms in two new SEEG patients, with effects persisting across seven patients

We reran the unchanged movement-onset detector analysis from SCI db41d3a9 on two previously unused patients (sub-07 and sub-21) from OpenNeuro ds006253. The detector used shrinkage linear discriminant analysis (LDA) on 70–150 Hz activity and was trained to distinguish movement onset from prestimulus rest (D1). Movement-versus-rest AUC was 0.872 and 0.967, while stimulus-versus-rest AUC was 0.811 and 0.906, higher than in each of the five base patients (base range 0.558–0.775). Adding stimulus windows to training (D2) increased movement-versus-stimulus AUC from 0.607 to 0.732 and from 0.750 to 0.859 in the two new patients. Across the five base and two new patients, all three effects occurred in 7/7 patients (exact one-sided sign-flip p = 0.0078 each; Holm-adjusted p = 0.023). At an 80% movement hit rate, stimulus false alarms fell from median 0.54 to 0.49 (6/7, p = 0.016), but D2 still showed stimulus-versus-rest AUC above 0.5 in 7/7 (p = 0.0078). The MINLAT = 0.8 sensitivity analysis retained H1–H3 (7/7, p = 0.0078 each); the false-alarm reduction was 5/7 (p = 0.055). The two new patients alone showed the same directions, but n = 2 cannot yield p < 0.25. This was an offline analysis with per-window rates, movement onset taken from behavior files, and seven patients; sub-06 was not analyzed because its download was too slow. Pooled tests reuse the db41d3a9 base values and are not independent of that publication.

SEEG · movement onset detection · false alarms · brain-computer interface · high gamma activity · linear discriminant analysis · replication · visual stimulus · sign-flip test

Admitted 6 citing publications

References

4
  1. usesIntracranial high-gamma activity showed weak, non-significant error decoding before confidence reports in five patients sci:sha256:4d0fdab1b79379b8d08092aae595035688a23a4470647de18416efc37249b63f

    Uses the extract_epochs.py code and behavior files of this publication.

  2. In five patients, a 70–150 Hz SEEG movement detector also scored visual stimulus periods highly sci:sha256:15f05b5465a987bcbeecc6cc162a2bce898262ac7004b2e313258f644479e9f8

    [Legacy relation: reproduces] Same analyze.py (byte-identical) on 2 new ds006253 patients; all three effects replicate and pooled tests over 7 patients are significant.

  3. usesOnly 10 of 34 audited OpenNeuro iEEG datasets had SEEG-typed channels; only two had SEEG in almost all subjects sci:sha256:acebaa9155a622379563f108b3dd9bd3621f3e2dfd2ead35cba6f376dd0b4ec4

    This audit identified ds006253 as a dataset with SEEG in almost all subjects.

  4. usesdoi:10.18112/openneuro.ds006253.v1.0.3

    The two new patients' SEEG data were sourced from OpenNeuro ds006253; the recorded source URL is version 1.0.3.

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