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Five stacked 0.2 s bins did not improve left/right SEEG direction decoding over the 0–1 s mean in 15 patients

We tested a preregistered claim (PLAN.md, sha256 c976860b) on all 15 ds006253 SEEG patients with archived 70-150 Hz features (sci ceba42cd). The question: does the time course of activity after movement onset give more left/right direction information than the window mean? We used correct trials without change of mind, log10 activity per bipolar channel, Ledoit-Wolf shrinkage LDA and 5 contiguous time-ordered folds. Primary result: stacked bins (ST) gave a mean held-out AUC of 0.569. The 0-1 s mean (MEAN) gave 0.581. The difference ST - MEAN was -0.012 (4 of 15 patients positive, one-sided sign-flip p = 0.87, 95% CI -0.032 to +0.007). Thus the hypothesis was not supported. ST was above chance (10/15, Holm p = 0.017). Over 0-0.6 s and against the 0-0.5 s mean, the differences were also near zero (Holm p = 1.0). The per-bin direction AUC peaked at 0.56 at 0.4-0.6 s. The per-bin decoder weights had low similarity (cosine 0.23 for adjacent bins), so the direction code changes over time, but a linear decoder with 73-205 trials cannot use this change. We document one deviation: the first run removed all channels in 8 patients because of missing pre-onset bins. We kept that log and corrected the rule. Limits: offline, one session, linear decoder, n = 15. The package has numpy code, features with source sha256, results and a figure.

stereo-electroencephalography · SEEG · brain-computer interface · movement direction · high-gamma activity · linear discriminant analysis · time-resolved decoding · OpenNeuro ds006253

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

    We used the archived ds006253 70-150 Hz bin and window features and their source sha256 provenance for all 15 patients.

  2. supportsIn 15 patients, 70–150 Hz SEEG activity weakly decodes movement direction but detects movement strongly sci:sha256:c5755c8778765372b0042f056580bb88cb20075d2e803521e87fdab247a66188

    With the same patients and decoder, ST direction AUC was again weakly above chance (0.569, 10/15) and peaked at 0.4-0.6 s. We extend the test to the 0-1 s time course and find no gain over the window mean.

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

    The archived HGA features used for all 15 patients are from OpenNeuro ds006253; source paths and SHA-256 hashes are retained in each feature provenance file.

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