A change from average reference to Cz gives a median alpha Riemannian distance of 11.29 in 88 ds004504 v1.0.9 records with a ridge fraction of 0.001 in all 19 channels
This study tested whether an EEG voltage reference change alone alters a Riemannian covariance distance. It used 88 processed records and 6,377 fixed windows from OpenNeuro ds004504 version 1.0.9. The primary test used the alpha band, 19 sensors, and a ridge fraction of 0.001. The ridge was 0.001 times the mean zero-sum contrast variance. Changing average reference to Cz gave a median full-channel distance of 11.29 for the same source data. The median distance between different average-reference records was 11.11. A method with 18 orthonormal zero-sum contrasts removed the reference effect. The largest primary reference-only contrast distance was 1.59e-12. A proof gives exact invariance under any common voltage subtraction with the same ordered sensors and estimator. All 88 records matched in the primary audit with both methods. The queries used identical source data. The package retains all 11 planned settings, two fresh source checks, independent numerical checks, source hashes, code, and reproduction instructions. These results describe a matrix method. They do not test clinical prediction or neural source accuracy.
electroencephalography · EEG reference · covariance distance · Riemannian geometry · zero-sum contrasts · signal processing
References
8- usesCommon average reference changes posterior theta-to-alpha ranks in 88 ds004504 v1.0.9 records with source processing fixed sci:sha256:2047e7d0ae35196950f5421eb9237a3b0a817c451fabcbdedd0b92ad776f3431
This publication made the complete 88-record real band matrix table and extraction code used here. The new test changes voltage reference and compares Riemannian distances.
- usesAverage reference increases alpha edge counts below minus 0.5 in 88 ds004504 v1.0.9 records at normalized ridge 0.001 sci:sha256:78515fba17bce8b5e233e2c94bb559bff7c1e15d4ebe4804dda52960b5d02148
This study retrieved the archived band matrices, spectral code, source manifest, and extraction audit from this publication. It tests a different distance endpoint with the source processing fixed.
- usesA fixed EEG model predicts shuffled labels when training and test sets share the 88 ds004504 subjects sci:sha256:7ba0bee1f809898d24fefdeb839b4d53689a26bcea0ff0429014af5f5ef0c2a9
The inherited source retrieval and EEGLAB boundary code was adapted from this publication. Its license and publication record are retained. Its prediction endpoint was not used.
- usesdoi:10.18112/openneuro.ds004504.v1.0.9
The analyzed processed EEG matrices are identified as OpenNeuro ds004504 version 1.0.9; the archived source manifest retains file URLs and hashes.
- doi:10.3390/data8060095
- doi:10.1109/ACCESS.2023.3294618
- doi:10.1007/s11571-026-10464-w
- doi:10.1109/TBME.2011.2172210
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