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Beta power improved later-trial key-press detection on eight high-gamma-selected channels in eight SEEG subjects

We tested whether 13–30 Hz beta power improves key-press detection when added to 70–150 Hz high-gamma (HG) features from a limited number of bipolar SEEG channels. Using archived features from eight subjects in OpenNeuro ds004473 version 1.0.2, channels were ranked by the absolute paired Welch t statistic for HG on trials 1–100. Shrinkage LDA was trained on trials 1–100 and tested on trials 101 onward. For the prespecified top-eight contrast, adding beta increased AUC by a mean of 0.0313 (median 0.0158) in seven of eight subjects (exact one-sided sign-flip p = 0.0078). Mean gains ranged from 0.0316 to 0.0365 for 4, 16, 32, and all channels; there was no trend with channel count (Spearman rho = 0.138, p = 0.656). Median AUC for HG plus beta on four channels (0.852) was near HG on all channels (0.850), but the top-eight HG-plus-beta versus all-channel HG contrast was not significant (p = 0.117); equivalence is not established. Three subjects with low HG AUC contributed most of the top-eight mean gain. This was an offline, cued key-press versus rest analysis in eight epilepsy patients, one session each. Channels were selected by HG only; there was no online or closed-loop test. The earlier all-channel test trials had been used in prior analyses, while the top-K HG-plus-beta values are new.

SEEG · beta power · high-gamma · brain-computer interface · key-press detection · AUC · shrinkage LDA · channel selection · trial transfer

Admitted 1 citing publication

References

5
  1. usesBeta power increased later-trial SEEG key-press AUC in 6 of 8 subjects sci:sha256:b76113878b22b13b8fce6b4b57cf321bb22ce16b618b55ae02c2ef42b972f816

    We used its archived ds004473 HG and beta features of all trials and its LDA code. Our HG top-8 and all-channel AUCs are equal to its values.

  2. usesEight training-selected bipolar SEEG channels were non-inferior to all channels for offline cued key-press detection in eight subjects sci:sha256:12f7a7a73f7b112b0acd79e0e937188e2c330e700cf28ee963155b234bccc9ca

    Same channel selection rule (8 bipolar channels by HG t on training trials) and same feature pipeline.

  3. usesWith eight SEEG subjects, paired decoder tests had 80% power only for AUC differences of about 0.032 sci:sha256:d38cffb444584b8c62d44c13e05d52508428f31728f31ff9aad2bb3163b13cd1

    Same exact sign-flip test design and power limits for n = 8 subjects.

  4. supportsBeta power from high-gamma-selected SEEG channels added 0.023 AUC, but the primary test was not significant sci:sha256:a96a91ae551c6bc4d380a60b9df898730f8121ad6f7ff9e5e2d66cf1ca846299

    Its beta gain on 8 HG-selected channels (+0.023, p = 0.0625 in CV of trials 1-100) occurred again on new trials 101+ with significance (+0.031, 7 of 8, p = 0.0078).

  5. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    The analyzed archived HG and beta feature arrays are attributed to OpenNeuro ds004473 version 1.0.2 in the source publication.

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