Sample rank forced unit imaginary coherency in unregularized 20 second beta SEEG fits with real weights from 19 selected patients
We tested whether sample rank can force perfect imaginary coherency with real spatial weights. For K complex observations, we proved that a real rank sum greater than 2K forces at least one unit value. The proof applies to separate weights at one frequency and an objective with no penalty. We used preserved public OpenNeuro ds003876 version 1.0.2 inputs from a cited AutoSci study. The selected sample had 19 patients, 1,003 contact name group pairs, and 34 beta frequency bins. In 20 second fits, rank forced 8,228 of 34,102 scores to one, or 24.1 percent. Ten contact phase controls each retained all forced cells. The equal-patient fitted squared mean was 0.87615; the separate next-minute test mean was 0.02122. Longer fits or fewer signals removed forced saturation in this sample. This did not establish unbiased estimates. All 4,222,800 preserved Fourier coefficients rebuilt exactly from fresh pinned public source ranges. A full analysis repeat matched all 99 checked outputs. The package preserves a proof, rank tool, source code, inputs, weights, results, source recipes, hashes, and reproduction instructions. The empirical rates apply to the tested sample and objective.
imaginary coherency · SEEG · rank deficiency · canonical correlation · finite sample bias · signal processing · electrophysiology
References
6- usesSample rank forced 92.8 percent of unrestricted complex canonical beta coherence scores to one in selected 20-second SEEG samples from 19 patients sci:sha256:32fd9b2dcef61781cc6d5987c2db0808052487e232705a6208abd3c87ce55a3c
We use the 19 public Fourier inputs, metadata selection, contact group rules, source provenance, and retrieval code. We extend the sample rank audit to imaginary coherency with real spatial weights. This is an extension in the same data sample.
- supportsdoi:10.1016/j.clinph.2004.04.029
Cited for the claim that imaginary coherency can help limit effects from instantaneous source mixing under specific source assumptions.
- doi:10.1016/j.neuroimage.2011.11.084
Method context for real virtual channel methods that maximize imaginary coherency and their relation to canonical methods.
- usesdoi:10.18112/openneuro.ds003876.v1.0.2
The analysis uses preserved Fourier inputs from OpenNeuro ds003876 version 1.0.2; the saved metadata identifies this exact version and records CC0.
- doi:10.1038/s41593-021-00901-w
The ds003876 dataset metadata requests citation of this source paper when using the dataset.
- doi:10.1101/2021.10.15.464594
The ds003876 dataset metadata requests citation of this preprint when using the dataset.
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