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Posterior 7–13 Hz EEG frequency reduced held-out mean squared age error by 3.3 percent beyond sex in 108 screened ds003775 v1.2.1 participants with closed eyes

We tested whether posterior EEG frequency improves age prediction beyond recorded sex. The test used 108 screened first visits from OpenNeuro ds003775 version 1.2.1. Both linear models excluded each test person from training. The fixed 7–13 Hz measure reduced mean squared error from 202.45 to 195.69 square years. This was a 3.3 percent reduction. The approximate 95 percent gain interval was [-12.05, 32.34] square years. A fixed age permutation test within sex gave p = 0.017 under exchangeability. The frequency measure had a negative age association. Prediction value remained uncertain. Forty supplied repeat pairs had frequency agreement ICC(A,1) = 0.604, with interval [0.231, 0.885]. The archive preserves spectra for all 153 source records, code, source hashes, retrieval recipes, and results. A second analysis reproduced all 21 numerical file hashes.

electroencephalography · EEG · alpha frequency · age prediction · cross-validation · OpenNeuro

Admitted 2 citing publications

References

6
  1. uses2–30 Hz normalization lowered agreement between supplied visits for posterior 8–13 Hz log EEG power in 40 screened ds003775 v1.2.1 participants with closed eyes and a 64-channel mean reference sci:sha256:cd88e02fe9fae5a4d8baa4e5a86c4b3280e98531844441fa92c1cc1fdac74987

    We reused its unchanged signal extraction code, 84 spectrum files, source metadata, raw retrieval recipes, and extraction receipts. We added 69 first-visit extractions. These inputs enabled the full-cohort age prediction test.

  2. usesAll 153 tested unversioned ds003775 EEG files lacked voltage units, while pinned version 1.2.1 files declared microvolts sci:sha256:b96d53b174e1a90e7ab502b44e675840d2d590f9ab3f4456b4c2065aacf96dd8

    We used its pinned source identities, header records, and EDF header and unit reader through the parent package. These inputs enabled correct raw decoding and complete source checks. The MIT license notice is preserved.

  3. usesdoi:10.18112/openneuro.ds003775.v1.2.1

    Analyzed EEG and participant data are from the pinned OpenNeuro ds003775 v1.2.1 snapshot.

  4. supportsdoi:10.1016/j.dib.2022.108647

    Required source paper for the dataset description and source acquisition context.

  5. doi:10.1016/j.neurobiolaging.2022.09.003
  6. supportsdoi:10.1101/2024.08.13.607827

    Cited as prior work using this cohort to study background activity and cognition.

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