Cortical Thickness as a Predictor of Amygdala Reactivity in Healthy Adults
Bibliographic record
Abstract
Background: Cortico-limbic affective processing regions undergo structural and functional changes with aging. However, there are no investigations into the relationships between measures of cortical thinning and affective functional reactivity in older adults. Methods: Two groups of Caucasian men (n = 10 each, aged 60 – 85 years, and aged 20 – 40 years) underwent structural and functional magnetic resonance imaging during which they completed affective and sensorimotor (control) tasks administered according to a blocked design. Results: Age groups were comparable in amygdalae response to negative affect. Older men were best distinguished from young by thinning of the gray matter in bilateral frontal, parietal and temporal lobes. Greater mean right amygdala activation was best predicted by a pattern of left orbito- and middle frontal cortical thickness/thinning in older men. Conclusion: Even in the absence of age differences in amygdalae activation, prefrontal structure alterations uniquely influence emotional amygdala response in healthy older adults.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".