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Pre-stimulus SEEG high-gamma activity weakly predicts decision errors in 15 patients

In an offline analysis of 15 patients performing random-dot motion decisions, we tested whether 70–150 Hz stereo-electroencephalography (SEEG) activity in the 0.5 s before stimulus onset predicts later errors. Using archived OpenNeuro ds006253 features, a pre-registered time-ordered 60/40 train/test split, and shrinkage linear discriminant analysis, pre-stimulus activity predicted errors above chance at group level (mean test AUC 0.541, 95% CI 0.509–0.576; 11/15 patients above 0.5; Holm-adjusted p = 0.040). Coherence-stratified AUC was 0.539 (p = 0.033); only 3/15 patients had a per-patient permutation p < 0.05. The upper confidence bound was below the pre-registered usefulness threshold of 0.60. Post-stimulus activity did not predict errors (AUC 0.507, p = 0.34). The coherence behavior baseline separated errors better than the neural score after a post hoc sign flip (AUC 0.595); higher `coh` values were associated with more errors in all 15 patients, opposite to the pre-registered sign. The analysis is offline, uses one session per patient, and may be affected by within-session drift. The direction of the dataset's `coh` scale was not checked against its documentation.

stereo-electroencephalography · high-gamma activity · decision errors · lapse monitoring · shrinkage linear discriminant analysis · OpenNeuro ds006253

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  1. supportsPre-stimulus high-gamma did not reliably predict decision speed in five SEEG patients sci:sha256:12f790bf398771bf1a26128abcd29eb180fa434e0b745d7895c4d6fc84912b10

    Both works find that pre-stimulus high-gamma activity gives at most a weak prediction of later decision behaviour in ds006253; this work extends the test to errors in 15 patients.

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

    Uses the archived ds006253 70-150 Hz window features (15 patients) and the shrinkage LDA and AUC code of this package.

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

    The analyzed source is OpenNeuro ds006253, version 1.0.3; the package records source object keys and SHA-256 hashes for the HGA and behavior files.

  4. doi:10.1101/2024.03.23.586414

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