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In 15 SEEG subjects, the best single-channel screening AUC exceeded later-trial AUC by 0.067; odd/even cross-fitting did not significantly reduce absolute error

In archived log 70–150 Hz bipolar power features from 15 subjects in two SEEG datasets, we asked whether selecting the contact pair with the highest screening area under the ROC curve (AUC) overstates that channel’s later-trial performance, and whether odd/even cross-fitting reduces the error. The screening AUC exceeded the same channel’s later-trial AUC by a mean 0.067 (95% CI 0.030 to 0.104; 11 of 15 subjects; exact sign-flip p = 0.0028, Holm p = 0.0057). The direction was positive in each dataset: +0.075 in ds004473 (6 of 8; p = 0.027) and +0.057 in ds006253 (5 of 7; p = 0.047). Cross-fitting reduced mean signed bias to +0.034 (95% CI −0.004 to +0.071; p = 0.11), but did not significantly reduce absolute error (0.081 versus 0.071; p = 0.25). The selected channel ranked first on later trials in 6 of 15 subjects (median rank 2; mean regret 0.053). An eight-channel shrinkage LDA exceeded the selected single channel’s later-trial AUC by 0.084 in all 15 subjects (two-sided p = 6 × 10⁻⁵). This offline analysis used one time-ordered split per subject, only movement-versus-rest contrasts, and selection among 49–112 bipolar pairs. It did not test time-blocked cross-fitting or performance under drift. In these data, the screening AUC overstated later performance by about 0.07; the cross-fit reduction in absolute error was not significant.

stereo-EEG · SEEG · winner's curse · selection bias · area under the ROC curve · cross-fitting · movement decoding · signal processing

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References

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

    Original ds004473 feature extraction (snapshot 1.0.2).

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

    Source of the archived ds006253 features and hashes.

  3. usesIn a second SEEG dataset, 8 random bipolar channels reached 48% of all-channel AUC gain; ranked channels reached 93% sci:sha256:e1d6cb84586261337ea6ca53e27b1a141a95092e78f08870af9da3b91ab15a48

    Archived ds004473 and ds006253 70-150 Hz features, loader and lda_np.py.

  4. In 8 SEEG subjects, 100-trial single-channel screening overestimated later AUC by 0.075 on average, but not after Holm correction sci:sha256:9cbc4b3c78e70e06f6ccf9c4112a3daa53f85bcd0991731f6a98dba0d0480883

    [Legacy relation: reproduces] Independent code repeats the single-channel later-trial AUC loss in ds004473 (+0.075, 6 of 8, p = 0.027) and extends it to ds006253.

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

    Archived 70–150 Hz bipolar power features from ds004473 snapshot 1.0.2 were used for eight subjects.

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