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An onset-trained SEEG decoder detected later movement in 7 patients, but non-inferiority to a late-trained decoder was not shown

In an offline analysis of seven patients from OpenNeuro ds006253, we tested whether a movement-versus-rest decoder trained on bipolar SEEG high-gamma activity (70–150 Hz) from 0–0.4 s after mouse-movement onset detected activity at 0.6–1.0 s. Trials were ordered by stimulus onset; the first 60% trained a shrinkage LDA decoder and the last 40% tested it. The onset-trained decoder detected the later window in all seven patients (mean AUC 0.749; Holm-adjusted p=0.023). A decoder trained on the later window had a mean AUC advantage of 0.025 (worst patient difference 0.092); non-inferiority of the onset-trained decoder at a 0.05 margin was not shown after Holm correction (raw p=0.0469; adjusted p=0.0938). A secondary, uncorrected analysis restricted to test trials with movement duration at least 1.0 s found a mean difference of +0.024, with all seven patients inside the margin (p=0.0078). The onset-trained decoder’s AUC changed from 0.789 at onset to 0.749 in the later window; evidence of a loss was not shown (adjusted p=0.1406). This is an offline result from one task, one time-ordered split, one linear decoder, and seven patients. The code also excluded trials with missing values in any descriptive 0.2 s bin, beyond the preregistered exclusion rule; this deviation was found after the run and not changed.

SEEG · brain-computer interface · movement decoding · high-gamma activity · shrinkage LDA · AUC · motor decoding

Admitted 2 citing publications

References

5
  1. usesOffline tests in 30 SEEG patients found small mean AUC changes with 4-bit weights, but no test passed Holm correction sci:sha256:cf18311d6a5498c92be15629ce6ac9214a205968d362c405eecb225ebb849dd4

    The ds006253 HGA feature files come from this archive (copied unchanged, hashes given).

  2. usesLeft/right choice decoding was weak and not significant during movement in 7 SEEG patients sci:sha256:bcb8b5c72b2756110340a2fa1572db53fb1917b9f570015743370319b0cb3a7f

    This package first made the ds006253 window and bin features from the author HGA derivatives.

  3. usesIn 15 SEEG patients, conformal coverage stayed near 0.90 on later trials, but 22% of single-label sets were wrong (two tasks; offline, one session; two-class LDA) sci:sha256:d2a0a58859cf36ca05189e946d761c5b3a6bc74a4fe37ae460bbc42d40c52009

    The feature files and the shrinkage LDA code were copied from this package.

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

    Descriptive: 0.2 s bins after the stimulus and before movement onset also gave AUC above 0.5 against pre-stimulus rest (0.59-0.74).

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

    The publication analyzes author-derived HGA and behavioral files from OpenNeuro ds006253 (MetaRDK).

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