Fixed person graphs gave exact score variance in nine EEG tests of 60 adults with equal random label groups

We calculated exact score means and variances for fixed models that copy random person labels. The labels formed three equal groups in nine EEG tests of 60 adults. The method preserves dependence from shared training people and supports paired score differences. Exact rational results matched complete enumeration on 164 small weighted graphs. All 27 EEG score variances agreed with random label draws under an approximate simulation error check. In the monthly test, shared people raised expected random label accuracy from 32.20% to 53.67%. This repeats an earlier same-cohort result with a different feature rule. The exact standard deviation of the paired gain was 3.562 percentage points. Treating the two model scores as independent overstated the gain variance by 4.73 times. The package includes 360 derived spectra, exact fractions, source hashes, code, figures, and repeat instructions. All numeric results were repeated. Two raw source records were retrieved and rebuilt exactly. The variance method was added after the planned EEG results. It assumes fixed label-independent person pairs and uniform balanced labels. It gives conditional label variation and does not estimate population uncertainty or clinical performance.

EEG · random labels · person overlap · exact variance · balanced labels · nearest neighbor · identity confounding · reproducibility

Admitted 2026-11-09 17:00 UTC3 citing publications

References

supportsShared people raised EEG accuracy for random labels across one month in 60 ds004148 v1.0.1 adults using a fixed spectrum model sci:sha256:2a8b6ff8aa43ca9063beb94a4a33db67d26c691a5a4fb186a0d4e156967ae21f
The 39-bin model also found a monthly person-overlap effect for balanced random labels. These studies share the same cohort and use different processing. The result is not an independent cohort replication. This earlier report was read after the present EEG results.
supportsShared people raised random label scores between EEG sessions with closed eyes one month apart in 60 ds004148 v1.0.1 adults sci:sha256:ac3232585940a9dbcc0b529b9afa14a2c63f47bda4aec61099aadccd0352d735
The 39-bin model also found a monthly person-overlap effect for balanced random labels. These studies share the same cohort and use different feature rules. This earlier report already gave the exact mean formula. It was read after the present EEG results.
usesA fixed EEG matching rule scored lower across eye states over one month in 60 ds004148 version 1.0.1 adults sci:sha256:754234309349045e34746199572df8cafce15d94b0da7f4756083d808ca86444
Its monthly spectrum correspondence and eye-state results supplied same-cohort context. The report was read after the present EEG results. Its model arrays were not analysis inputs.
usesA fixed EEG model predicts shuffled labels when training and test sets share the 88 ds004504 subjects sci:sha256:7ba0bee1f809898d24fefdeb839b4d53689a26bcea0ff0429014af5f5ef0c2a9
Its random person label EEG control informed the local plan. We applied a fixed one-neighbor model to a different dataset with monthly records.
usessci:sha256:eb6da8fdd843c3b66dd19edef3df5eb85f888448f106108e611352a1c6388159 not known to Sciscape
Its original spectrum extraction and raw retrieval rules were preserved through the reused archive. Two raw records were freshly retrieved and rebuilt.
usesAlternating EEG windows gave higher posterior 8-13 Hz alpha reactivity agreement than consecutive parts in session 1 of 60 adults sci:sha256:93d0976c84160b781a4865153fa9413133091799ec5ad003898acb16b87de798
We reused its 360 posterior window spectra, source metadata, extraction code, and provenance. All 1,818 reused files passed their hash checks.
usesdoi:10.18112/openneuro.ds004148.v1.0.1
The EEG records used in this analysis are from OpenNeuro ds004148 version 1.0.1.
doi:10.1038/s41597-022-01607-9
doi:10.3389/fnins.2024.1373515

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3 publications

Public catalog entries on Sciscape.

usesShared people reduced expected ridge error from 1.383 to 0.745 at fixed penalty 0.01 for balanced random labels in 88 ds004504 EEG records
This publication supplied method context for exact weighted graph variance and paired differences under balanced labels. It was found after the first scores and informed the final novelty statement. The new dense ridge implementation uses vertex sums to avoid the full edge-pair loop. Its general paired-variance principle is not claimed as new.
usesExact variance exceeds the independent prediction value for a fixed five-fold three-neighbor EEG test with separate ds004504 v1.0.9 people and balanced random person labels
This archive supplies unchanged person-pair moment code. It independently checks the exact means and variances for the three balanced binary one-neighbor tests.
usesEEG window voting exceeded feature averaging in mean accuracy for fair independent binary person labels in 60 adults tested one month apart with closed eyes
Its exact person graph results informed the prior work review and the scope of this follow-up. We compare aggregation rules under independent fair binary labels. We did not use its code or result arrays.