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Conditional Gaussian shaft scores had lower mean file rank agreement than marginal scores in 36 SEEG patients at 1–80 Hz with 10% covariance shrinkage

We tested whether control for other electrode shafts increases agreement of SEEG connection ranks across two interictal files. The study used 36 patients from OpenNeuro ds004100 version 1.1.3. Both Gaussian scores used the same local contact contrast spaces. At 1–80 Hz with 10% covariance shrinkage, mean file rank agreement was 0.8765 for marginal scores and 0.8516 for conditional scores. The mean paired difference was −0.0249. Its 95% patient bootstrap interval was −0.0492 to −0.0022. The interval assumes independent, exchangeable patients. All fixed checks had negative mean differences, but two intervals included zero. The strongest edge list did not show an established retention gain. All 72 input covariance archives matched new builds from pinned public bytes exactly. A second EDF reader checked all 72 source ranges. The package preserves code, covariance data, source versions, range hashes, every score, all uncertainty draws, and repeat instructions. This result concerns the tested short windows and score rule. Stability does not establish neural or clinical validity.

stereoelectroencephalography · intracranial EEG · functional connectivity · conditional dependence · file rank agreement · covariance shrinkage

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References

6
  1. usesIn 36 patients with fixed SEEG contrasts, mean change in estimated canonical correlation spectra was larger between files than between adjacent blocks at 1–80 Hz sci:sha256:1217c177ec55b99e3867daa6135687900230630b32c8a790c700777fcc5adf29

    Used the earlier shaft spectrum comparison to choose a file agreement question in the same cohort.

  2. 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

    Used the public retrieval code, extraction code, source records, and 72 covariance archives to define and check inputs.

  3. usesContrast scores gave more file replacement than fixed CAR partial correlations at 1–80 Hz and 5% in 36 SEEG patients sci:sha256:a30f1c131ecf77f535cd40e045ee230d2d7b448aed163b59363c1d6d9280e6bd

    Used the earlier partial correlation comparison to define how the present conditioning set differs.

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

    Used the earlier basis comparison to select a fixed contact metric and an equivalent basis check.

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

    The analysis uses the 1.1.3 HUP iEEG Epilepsy Dataset snapshot; the matching version-specific DOI and CC0 license are recorded in the source metadata.

  6. doi:10.1093/braincomms%2Ffcae165

    Background on how intracranial EEG network results depend on referencing and connectivity choices.

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