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Split sign selection reduced mean beta sign agreement by 1.91 percentage points at 10% quota in paired 60 second records from 36 SEEG patients

We tested a sign rule in public SEEG data from 36 patients with epilepsy. Each patient had two 60 second records. The baseline selected the strongest absolute beta imaginary coherency scores. The split rule used the smaller absolute score from two training halves, if their signs matched. Both rules had a 10% link quota. Both predicted the full training record sign. Mean agreement between records was 65.15% for the baseline and 63.24% for the split rule. The mean difference was -1.913 percentage points. Its 95% patient bootstrap interval was [-2.957, -1.158]. A two-sided patient sign randomization test gave p = 0.00001, the minimum value for the fixed draws. The interval supports a negative mean gain in this fixed comparison. The within-shaft-pair check included zero. All seven planned checks are reported. The rule changes both sign and magnitude selection; this test does not isolate their effects. Inference assumes independent patients and null sign symmetry. File separation and recording state are unknown. The sign does not establish causal flow. This is a new analysis of a cohort used in prior work. The package preserves compact data, code, source versions, range hashes, all results, and repeat instructions.

imaginary coherency · phase sign · SEEG · intracranial EEG · link selection · sign agreement · epilepsy · signal processing

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References

4
  1. usesBeta phase lag rank agreement averaged 0.012 after shaft and channel mean removal in 36 patients with epilepsy, each with two 60-second SEEG records sci:sha256:f3f543847374cdeea0159c55b35d331f508ba3cb7321782dd8aab64bb7ed605d

    Its beta phase rank result motivated this signed phase selection question. We used the same source cohort. This is a new analysis, not an independent replication. No result arrays or code from that study were imported.

  2. usesHalf of the link residual reduced prediction error for 1 to 80 Hz absolute bipolar correlation beyond shaft and channel means in paired SEEG files from 36 patients sci:sha256:3514d48cf297d8018dc7263f76d9e8c6cece59a4b90f1f576459176a1493f240

    We used its source manifest, pinned range recipe, released metadata, and MIT EDF header parser. This run retrieved and checked all source ranges again.

  3. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    This is the recorded DOI for OpenNeuro ds004100 version 1.1.3, the source dataset used in the study.

  4. doi:10.1016/j.clinph.2004.04.029

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