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Spearman gave higher agreement than Pearson between 1–80 Hz bipolar SEEG maps in 18 patients and lower agreement in 18 patients

We tested whether sample ranks improved the order of SEEG link strengths between two files. We used two 60-second excerpts from each of 36 patients in public OpenNeuro ds004100, version 1.1.3. The primary test used 1–80 Hz bipolar channels that shared no contacts. It scored only links between different electrode shafts. Mean agreement of absolute link order was 0.43208 with Pearson correlation and 0.44655 with Spearman correlation. The mean paired difference was +0.01447. Its 95% patient bootstrap interval was [-0.00152, +0.03947]. The difference was positive in 18 patients and negative in 18 patients. The median difference was +0.00049. The primary interval included zero. A mean gain under the patient sampling model is uncertain. The package preserves all source pins, signed link maps, patient results, code, and checks. This test measures agreement in the selected files. It does not establish the accuracy of neural connections or predict clinical outcomes.

stereo-electroencephalography · SEEG · Spearman correlation · Pearson correlation · map agreement · epilepsy · robust statistics

Admitted 6 citing publications

References

4
  1. usesClipping at three robust scale units reduced mean calibrated prediction error for recorded 1–80 Hz SEEG correlation maps in 36 patients sci:sha256:e5ea7565aa5f4d85af7db2951c532a7e132c6982a7a6d7acdeb6bac543398c29

    This work supplied the fixed clipping threshold of three robust scale units for a comparator. The present study uses the same cohort. It tests agreement between files with channels that share no contacts. It does not repeat the prior calibrated prediction endpoint or provide an independent cohort test.

  2. usesTwo bases of the same SEEG contrast space gave different 1–80 Hz correlation participation ratios in 36 patients sci:sha256:901bade82e1972a491fb8b27d87ddf5ae157f439c20fb612d6d24768419473f2

    This work supplied the pinned source ranges, BIDS metadata, contact selection, EDF parser, and covariance audit values. We retrieved the raw ranges again. We used the raw signals to compute new Spearman, Pearson, and clipped Pearson link maps.

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

    The analysis uses two 60-second excerpts from each of 36 patients in this exact OpenNeuro ds004100 release.

  4. doi:10.1371/journal.pone.0077916

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6 publications

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