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In 15 patients, 8 training-ranked SEEG channels yielded mean held-out AUC 0.804 versus 0.833 with all channels

We used archived 70–150 Hz high-gamma activity (HGA) features from 15 patients in OpenNeuro ds006253 and an unchanged shrinkage-LDA detector. The first 60% of trials, ordered by time, were used for training and the last 40% for testing. Bipolar SEEG channels were ranked by the absolute paired t statistic for MOVE minus REST on training trials only. Mean held-out AUC was 0.833 with all channels, 0.829 with the top 32, 0.814 with 16, 0.804 with 8, 0.779 with 4, and 0.725 with 1. Random 8-channel sets gave 0.651. For the primary comparison, top 8 minus all was −0.029; 13 of 15 patients had lower AUC with top 8 (exact two-sided sign-flip p = 0.0072). For top 1 minus all, the difference was −0.108; all 15 patients had lower AUC (p = 0.00006; Holm-adjusted p = 0.00012). The median smallest channel count retaining 95% of the all-channel AUC margin above 0.5 was 8, while 7 patients needed 32 or all channels. Thus, about 8 selected channels retained about 90% of the movement-detection margin, with a small, consistent loss. The study was offline, used one session per patient and task-locked windows, and compared MOVE and REST from different task phases; part of the difference may reflect task state rather than movement. The results are based on 15 patients, one univariate selection rule, and test sets of 48–120 trials.

stereo-EEG · SEEG · movement detection · channel selection · high-gamma activity · brain-computer interface · AUC · shrinkage LDA

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References

4
  1. supportsLabel-free high-gamma variance did not select SEEG channels that detected movement better than random sci:sha256:b8e1a1f8ce906806aa5c52b1169e9cd151cb002d0db33088aaa3885136a94004

    We also find that supervised channel selection is much better than random selection, and we extend it to a full k curve.

  2. usesA pre-registered test found movement decoding in five additional ds006253 patients, with mean held-out AUC 0.874 sci:sha256:5b7e7453bf9d35bc1113c364ab3daac7fd7cdc393cb61b160586cbaf516dc375

    Archived ds006253 HGA feature files of 15 patients and the unchanged decoder code.

  3. usesIn 11 SEEG patients, a fixed hand-knob distance prior improved held-out movement-versus-rest AUC over random channel selection sci:sha256:55c1eac8130c36ee0c7fd6c298ba1b63f37fe5e183c6c430dab558c5f077dfc0

    Earlier result on fixed 8-pair channel sets in ds006253; we compare a training-ranked selection.

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

    The analysis used archived HGA and behavioral features from 15 patients in OpenNeuro ds006253. The saved provenance records the analyzed derivative file hashes; the exact-version metadata identifies ds006253 version 1.0.3.

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