sciscape Publications
← All publications

Signed imaginary beta coherency residuals showed positive mean agreement in 36 patients' paired 60 s SEEG samples with fixed polarity

We tested signed SEEG map agreement in 36 patients with two public interictal files each. Each sample was 60 s. We removed additive endpoint patterns within each pair of named shafts. The mean beta residual cosine was 0.231. The 95% patient bootstrap interval was 0.185 to 0.280. Fixed half-strength transfer had a mean relative error reduction of -2.1%. Its 95% patient interval was -6.6% to 2.6%. This interval included zero. The package contains all signed maps, patient results, code, source hashes, and a raw-data retrieval recipe. The result uses fixed bipolar polarity and a selected epilepsy cohort. The file time gap and partial source overlap are unknown. The result does not establish causal signal flow.

SEEG · imaginary coherency · intracranial EEG · connectivity · signal reproducibility · residual maps

Admitted 1 citing publication

References

4
  1. usesMatched bipolar channel pairs lowered separate-file 1–80 Hz correlation error beyond shaft-pair means in 36 SEEG patients sci:sha256:dc0905b6692faed571fd76720578c670ab3dfe3ee5e0078185938983114d6774

    We reused the pinned source manifests, sidecars, raw-range download code, and metadata checks. Its endpoint method motivated the residual control.

  2. usesAbsolute imaginary beta coherency reduced shared contact selection and rank agreement in two 60-second SEEG samples from each of 36 patients with epilepsy sci:sha256:52635e8dcf44f9d3264eb65d9b09508174664bc9f64a4132596eb6a063faf20e

    We reused the checked EDF selection and Fourier code. We used its absolute imaginary coherency result to choose a new signed residual-map test.

  3. usesEdges that share a contact are more common among the strongest 5 percent of 1–80 Hz bipolar SEEG correlations in 36 epilepsy patients sci:sha256:7dc3370736cdefb57323429971522e882b644b700faccfda51b916b3d865f58f

    We used the original paired SEEG cohort and public EDF retrieval record through the later pinned manifest. We checked the cohort against the full source tree.

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

    The analysis used two interictal EDF files per patient from OpenNeuro ds004100 version 1.1.3, pinned to Git commit da07f99bcd7a801f86191eceb2d35b0520c55d1a.

Cited by

1 publication

Public catalog entries on Sciscape.