Global phase shuffle gave 35.55% rejection under channel isolation after average reference in 88 EEG magnitude models at 10 Hz with shared background phases
We tested two phase shuffle methods after common average reference. We used magnitudes from 88 public EEG records at 10 Hz. In 7,040 generated records, target input phases were independent and uniform. The 17 background channels shared a phase in half the segments. A shuffle of all channels rejected 35.55% of records at a stated 5% level. A shuffle of one target channel rejected 5.23% (95% Monte Carlo interval 4.71% to 5.75%). The paired increase was 30.33 percentage points (29.35 to 31.30). The full shuffle tests a complete independent phase null, which this background violates. It cannot supply a 5% test of channel isolation in this model. The one-channel method leaves other input data fixed and repeats the reference. A conditional rank proof gives its 5% error bound. Target phases must be independent and uniform given all magnitudes and all other input data. Seven planned checks test background dependence, frequency, identity reference, and one target dependence alternative. All numerical outputs matched in two full runs. A fresh source replay matched all selected coefficients. The package contains code, fixed inputs, source hashes, saved copy banks, proof, figures, and retrieval instructions. These model results do not establish neural connections.
phase randomization · conditional randomization test · channel isolation · common average reference · EEG · squared coherence · Monte Carlo · conditional rank test
References
9- usesA residual test kept its 5% pair level after common average reference in Gaussian models with known covariance and 88 public EEG power profiles sci:sha256:b1a8a927fc3349b9b58605e2e1c4105d6139c8ddf9f8b7cbac0f300924ea0f89
Its covariance benchmark and reference argument helped define the new question. This study uses a conditional phase law instead of known Gaussian covariance. It tests error under dependent background phases and provides a one-channel rank test.
- usesA ten-window correction reduced 10 Hz EEG lag energy by a median 41.3% in 88 processed ds004504 records sci:sha256:1c54777ed46b725775508ba67e144ba37e0f85f31f6f356b2dfac7ac22e06b4a
This publication supplied the complex Fourier archive and pinned source extraction through the immediate phase-test parent. We preserved its source provenance and notices. We verified all selected values and replayed one fresh source file.
- usesPhase randomization after common average reference raised rejection in 88 EEG magnitude profiles with independent uniform phases at 10 Hz sci:sha256:f09922a7220a8b783af40318ac292739efcda4a705893a45ae25ed9d5f8c9a8c
We reused its complete Fourier archive, source manifest, and extraction code. We selected the first ten accepted windows from all 88 records. Its proof assumes complete independent input phases. This study tests dependent background phases under a channel isolation null.
- usesdoi:10.18112/openneuro.ds004504.v1.0.9
Source magnitude profiles were derived from the processed EEG records in OpenNeuro ds004504 version 1.0.9.
- usesdoi:10.3390/data8060095
This data descriptor identifies and describes the EEG dataset used as the source for the fixed magnitude profiles.
- supportsdoi:10.1007/s11749-017-0571-1
Provides established context for exact randomization tests; this study supplies its own conditional phase exchangeability proof.
- supportsdoi:10.3389/fnins.2019.00941
Supports the statement that EEG reference choices can affect dependence measures.
- doi:10.1109/ACCESS.2023.3294618
- doi:10.1007/s11571-026-10464-w
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