Long‐term stability of frontal electroencephalogram alpha power and asymmetry at rest in adults born at extremely low or normal birth weight: A 10‐year longitudinal study
Bibliographic record
Abstract
The idea that individual differences in resting frontal EEG alpha activity have "trait-like" features that are associated with stress vulnerabilities presumes that these physiological patterns should be stable across time. We know, however, relatively little regarding the very long-term (i.e., ≥10 years) stability of resting frontal EEG alpha power and asymmetry in typically or atypically developing populations. Here, we examined the long-term stability of regional electroencephalogram (EEG) alpha (8-13 Hz) power and asymmetry at rest across a decade in the oldest known prospectively followed cohort of extremely low birth weight (ELBW; <1000 g) adult survivors and normal birth weight (NBW; >2500 g) controls. Regional EEG was collected at rest from the left and right frontal (F3, F4) and parietal (P3, P4) scalp sites using a stretchable cap during baseline eyes-open and eyes-closed conditions in young adulthood (ages 21-25 years) and again in adulthood (ages 30-35 years). We found moderate stability in regional EEG absolute alpha spectral power measures across all scalp sites for each birth weight group between the young adulthood and adulthood assessments. As well, we found the frontal alpha asymmetry measure was stable, albeit weakly, between the two assessment periods only in the NBW group. However, parietal alpha asymmetry was weak-to-moderately stable for each birth weight group across the 10-year period. Findings are discussed in terms of their implications for understanding associations between individual differences in frontal and parietal brain activity at rest and long-term stress vulnerability in typical and atypical development.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".