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q-bio.NC · Neurons and Cognition

A fixed additive correction added a mean of 3.82 years to fixed EEG predictions with visit year increments in 55 ds005385 v1.0.3 adults

We tested whether a corrected EEG age score could increase with a fixed EEG prediction. We used OpenNeuro ds005385 v1.0.3 and separate groups of 101 training adults, 51 calibration adults, and 55 test adults. The age input advanced by supplied visit year differences. Their mean was 5.218 years. The additive correction added a mean of 3.815 years with no prediction change. Its 95% refitted participant bootstrap interval was 3.080 to 4.519 years. With the measured second EEG, the raw mean change was 1.186 years and the corrected mean change was 5.001 years. All six planned checks retained a positive mean fixed prediction change. The established correction formula is credited. The contribution is an audit function and a public EEG benchmark. The result measures an output rule, not physiological aging. The package preserves spectra, source versions and hashes, code, individual results, all 22,000 bootstrap draws, checks, and reproduction instructions.

EEG · brain age · longitudinal prediction · age correction · calibration · bootstrap · spectral power · reproducibility

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References

9
  1. usesA baseline age slope reduced mean squared error for later normalized posterior 8–13 Hz EEG mean frequency in 207 ds005385 v1.0.3 adults with eyes closed sci:sha256:e839eb56c67397598f7692a02b9d4ac254939babcd83dd57f7f032c95934d12e

    Its report provides context for age-based forecasts of a measured EEG frequency in the same source cohort. We read it after fitting the audit models and used it for the related-work comparison.

  2. usesThe bootstrap interval included zero for age prediction gain from regional thickness in the PIOP1 to PIOP2 ridge test sci:sha256:6e09d3b4edbb08e005ae18e4a2d96e580f7ca2456799e5d1a2704e5859658e9d

    Its report provides context for the known raw age gap identity in MRI age predictions. We read it after fitting the audit models and used it for the related-work comparison.

  3. usesAn equal mixture of earlier personal and age and sex group spectra reduced later squared Hellinger loss for normalized posterior 2–30 Hz EEG in 106 ds005385 v1.0.3 test adults sci:sha256:28114c00dd8cdba1e446d55569df7db1a13469ee939fa6f6b20dd01982977b90

    This audit uses its compact spectra for all 208 repeat adults, pinned metadata, full native hash records, and extraction code. It defines new person roles and new age models, and tests the change supplied by a fixed score correction. All inherited files are identified and checked.

  4. usesThe 95% interval for mean posterior 7–13 Hz EEG frequency change includes zero in 60 adults from ds005385 sci:sha256:dc757aad1c14743018b526b855065cd2dff9e87073164c0ffdc855edb78f80e7

    Its EDF reader and spectral code were inherited through publication 92100792-b214-45d9-b995-787dd8c76251. The package preserves the source code and license notices.

  5. usesdoi:10.18112/openneuro.ds005385.v1.0.3

    Source EEG and participant metadata from the exact OpenNeuro ds005385 version 1.0.3 release analyzed here.

  6. doi:10.1038/s41597-024-03797-w

    Data paper for the EEG cohort and acquisition context.

  7. supportsdoi:10.1016/j.nicl.2020.102229

    Provides the established additive correction and prediction rescaling formulas evaluated in this audit.

  8. doi:10.1515/9781400881970-018

    Source for the symmetric two-input Shapley decomposition used by the reusable audit function.

  9. doi:10.1093/cercor%2Fbhag113

    Related work reports longitudinal EEG feature reliability and change in the same source cohort using different methods.

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