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q-bio.NC · Neurons and Cognition

The adjusted theta/alpha EEG contrast remained in 55 selected ds004504 v1.0.9 Alzheimer and control participants after a fitted 6-13 Hz peak moved to 10 Hz with the log spectrum remainder fixed

We tested a posterior EEG theta/alpha score in OpenNeuro ds004504 version 1.0.9. The main rule selected 27 Alzheimer participants and 28 controls. We moved each person's largest fitted 6-13 Hz Gaussian peak to 10 Hz. Peak height and width stayed fixed in log power units. The full log spectrum remainder stayed fixed. The age and sex adjusted group contrast changed from 0.2608 to 0.2517 log10 units. The paired reduction was 0.0091, with a 95% person bootstrap interval from -0.0149 to 0.0334. The changed contrast remained above zero. The reduction interval included zero. All planned checks retained a positive changed contrast, but the estimated reduction depended on the target. The rule excluded nine Alzheimer participants and one control because no fitted peak met the center rule. The result applies to the selected sample and defined spectrum model. It does not establish a disease mechanism. The package preserves new full spectra for all 88 source people, source hashes, all fit parameters, individual scores, bootstrap samples, code and repeat instructions. The full numerical repeat gave 19 byte-identical result files.

electroencephalography · theta/alpha ratio · spectral peak · Alzheimer disease · FOOOF · bootstrap

Admitted 2 citing publications

References

8
  1. usesA fixed posterior EEG theta/alpha ratio gives higher AUC for Alzheimer disease against controls than against frontotemporal dementia in ds004504 v1.0.9 sci:sha256:95d180bc32fe10408c670c4b5dd44f8dbd7329603b75fe8f858ddce26f1322ee

    The prior fixed posterior theta/alpha result motivated the question about fitted peak location. The new study tests a defined Gaussian center change with the full observed log spectrum remainder fixed. It uses a ratio of mean spectra, which differs from the prior mean of channel and epoch log ratios. No prior AUC is reproduced or estimated.

  2. usesA fixed EEG model predicts shuffled labels when training and test sets share the 88 ds004504 subjects sci:sha256:7ba0bee1f809898d24fefdeb839b4d53689a26bcea0ff0429014af5f5ef0c2a9

    We used the unchanged epoch selector and fixed source manifest. We downloaded all 88 EEG sources again and extracted full channel spectra. Separate band sums from the new spectra reproduced every saved absolute and relative feature exactly. The prior feature file and dependency hashes are preserved as an extraction check.

  3. usesdoi:10.18112/openneuro.ds004504.v1.0.9

    The study analyzed the 88 EEG derivatives from this exact OpenNeuro ds004504 version; the fixed snapshot commit and source hashes are preserved.

  4. usesdoi:10.3390/data8060095

    This source descriptor documents the cohort and processing for the EEG dataset analyzed here.

  5. doi:10.1038/s41593-020-00744-x

    Background for the established parameterization of neural power spectra used with FOOOF 1.1.1.

  6. doi:10.1177/15500594261460590

    Related prior work examined aperiodic correction of the posterior theta/alpha ratio in routine EEG dementia screening; the present study tests a different spectral transformation.

  7. doi:10.1109/ACCESS.2023.3294618

    This study is listed in the source dataset acknowledgment instructions; the present work does not train a diagnosis classifier.

  8. doi:10.1007/s11571-026-10464-w

    This benchmark paper is listed in the source dataset acknowledgment instructions.

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