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An ECG model trained on early rest replaced a mean 4.14 percent of the top 10 percent of 1 to 40 Hz SEEG links in nine adults at the recorded reference

We tested ECG subtraction in two rest blocks from nine adults in OpenNeuro ds003688 version 1.0.7. A linear ECG model trained on early rest replaced a mean 4.145 percent of selected later SEEG links. Shifted ECG models replaced 0.907 percent. The mean patient difference was 3.237 percentage points. The patient bootstrap 95 percent interval was -0.878 to 10.510 percentage points. The two-sided sign test gave p = 0.562500. One record with eight contacts changed one of three selected links. It supplied most of the mean contrast. The primary group test did not show a difference at the planned 0.05 threshold. The primary score used the recorded reference and 1 to 40 Hz signals. It selected the top 10 percent of absolute correlations, with link counts rounded up. This is a sensitivity score. It does not establish neural coupling or artifact removal. The package preserves data, exact source versions, code, controls, and verification results.

stereoelectroencephalography · electrocardiography · correlation networks · cardiac signal · signal subtraction · clinical neuroscience · sensitivity analysis

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References

5
  1. usesBipolar reference changed linear ECG prediction skill in both directions compared with common average reference in nine adult rest SEEG records sci:sha256:0ab9025de2c32e339ac12889a218c711c42b734b2f0263ba9eb03b05afa008c3

    This secondary analysis uses the nine-patient selection, reduced SEEG and ECG arrays, source metadata, and input check code. It tests a new correlation link outcome in the same patients.

  2. usesdoi:10.18112/openneuro.ds003688.v1.0.7

    The study analyzes clinical rest recordings from OpenNeuro ds003688 version 1.0.7.

  3. doi:10.1038/s41597-022-01173-0
  4. supportsdoi:10.1016/j.neuroimage.2013.05.042

    This ECoG study supports checking cardiac effects on intracranial signal measures; it does not establish an artifact in these SEEG records.

  5. doi:10.1016/j.neuroimage.2018.08.020

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