Aging modulates the impact of cognitive interference subtypes on dynamic connectivity across a distributed motor network
Bibliographic record
Abstract
Research has shown age-related declines in cognitive control in the context of interference, but these studies have focused on frontoparietal networks and less is known about impacts on motor response-related dynamics in the face of distractors. Thus, we examined whether healthy aging affected connectivity between attention networks and motor circuitry using a multisource interference task and magnetoencephalography in 72 healthy-aging participants (28-63 years-old). Our results indicated stronger beta connectivity with increasing age between bilateral primary motor (M1) and occipital cortices, as well as stronger gamma fronto-motor connectivity during flanker-type interference. Regarding Simon-type interference, stronger beta interactions were observed between left M1 and right temporal and right M1 and left parietal with increasing age. Finally, the superadditivity effect (flanker + Simon presented simultaneously) indicated weaker beta connectivity between right M1 and left premotor with increasing age. These findings suggest exhaustion of age-related compensatory adaptations in the fronto-parieto-motor network with greater interference.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".