A common contact caused positive beta power correlation in two SEEG spectrum models with independent contact phases
This study tests raw beta power correlation in two public SEEG spectrum models. It uses 400 recorded contacts from OpenNeuro ds005670, version 1.0.0. Each model fixes the recorded Fourier magnitudes. It gives every contact and frequency bin an independent uniform phase. A common contact gave exact mean correlations of 0.245865 and 0.246217. Channels with no common contact gave zero predicted covariance. There were 199 complete phase draws for each of three windows and four bands in each patient. The draws confirmed the exact predictions. A source quality sensitivity check retained the result. The package gives an exact finite-spectrum covariance formula and a NumPy tool for real montages. It preserves prepared signals, source versions and hashes, code, all control statistics, figures, and checks. Separate source extraction reproduced all saved signals exactly. A full offline repeat gave identical results. The formula gives ensemble correlation. It does not give the exact expectation of finite-record sample Pearson correlation. This evidence covers the stated model and two short resting records. It does not identify neural coupling or a patient population effect.
SEEG · power correlation · Fourier phase randomization · finite-spectrum covariance · bipolar montage · signal processing
References
4- usesPhase randomization after a bipolar montage rejects shared-contact controls in two public SEEG excerpts sci:sha256:97ac965cad19a3f060ee04d75256ed671b8b0592635e58203a2bb63b9aeb9367
This study uses its 400 prepared contact signals from ds005670, its source metadata, and its retrieval and preparation programs. Fresh source checks verified the inputs. The same patients enter a new raw power measure and exact fourth-moment benchmark.
- usesdoi:10.18112/openneuro.ds005670.v1.0.0
The analysis uses 400 prepared contact signals from OpenNeuro ds005670 version 1.0.0; the source metadata records CC0.
- doi:10.1038/nn.3101
- doi:10.1016/j.neuroimage.2015.02.031
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesZero-lag regression left small smoothed beta power correlation in independent Gaussian models of eight patients' SEEG spectra
We used its fixed-magnitude phase power formula and ensemble-versus-Pearson distinction to state the limits of the present proper Gaussian calculation. The new formula tests smoothed power after static correction and retains a separate finite-section check.
- usesRegression at each frequency created negative beta energy correlation in independent phase models with fixed magnitudes from eight patients' SEEG spectra
Supplied the fixed phase fourth moment result used to derive the correction energy formula. The present study uses a different endpoint and dataset.