Agerelated parameters of P300 auditory evoked potentials in elderly persons in the context of cognitive health: A study in the European North of Russia
Bibliographic record
Abstract
Background. Setting of norms for the parameters of P300 cognitive auditory evoked potentials (EP) in elderly people with intact cognitive functions considering their residence in certain climatic and geographical regions is an urgent problem.The aim of the study. To determine age-related parameters of P300 cognitive auditory evoked potentials in elderly people aged 60–69 and 70–74 years, living in the European North of Russia (using the example of Arkhangelsk).Methods. The parameters of P300 auditory EP were determined in randomly selected urban residents in the age groups of 60–69 years (n = 284) and 70–74 years (n = 115) with normal scores on the Montreal Cognitive Assessment Scale (MoCA), without depression (according to Beck Depression Inventory), with preserved ability to work and/or social functions. We calculated the 5th–95th percentile values (P5– P95) of the P300 EP parameters and assessed the relationships of these parameters with socio-demographic characteristics, lifestyle and the results on the MoCA scale and Beck Depression Inventory.Results. Statistically significant differences in latency indicators of P300 EP were determined between groups of 60–69 and 70–74 years (P25–P90) in all studied brain regions (frontal, central). In the group of 60–69 years, the range of P25–P75 values of P300 EP latencies was 342.5–401 ms, in the group of 70–74 years – 358.5–443 ms. Age differences in P300 EP amplitudes were minimal with an interquartile range of 4–13 μV in the total sample. Participants who smoked had higher latency scores and lower amplitude scores; former smokers had higher latency scores compared to never-smokers.Conclusion. Latency above 400 ms at the age of 60–65 years and above 443 ms at 70–74 years can be considered as a criterion for reduced cognitive reserve and an increased risk of developing cognitive disorders in elderly people living in the European North of Russia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".