IC‐P3‐178: Multi‐component relaxometry and myelin water fraction imaging with gradient recalled acquisition in the steady state
Bibliographic record
Abstract
Background: Understanding factors that contribute to successful cognitive aging has become increasingly important as a growing portion of the population lives to very old age.Our research has focused on different patterns of cognitive aging by using electrophysiologic and behavioral measures.Previously, we demonstrated (e.g., NeuroImage, 2008; 39(1)) that cognitively high-functioning younger-old (y-old) (65-79 y.o.) subjects allocate more neural resources, as measured by the P3 event-related potential, than cognitively high-functioning middle-aged and young subjects and than cognitively average-functioning y-old subjects.Interestingly, although cognitively average-functioning middle-aged subjects appropriate more resources to novel stimuli than cognitively-matched young subjects, cognitively average-functioning y-old subjects exhibit a substantial reduction in novelty P3 amplitude.These findings suggest that age-related compensatory activity may involve increased allocation of capacity-limited controlled resources that persists until capacity limits are exceeded.For cognitively average-functioning adults this may occur by y-old age.We hypothesized that in cognitively high functioning adults this would develop in old-old (o-old) age.Here we have extended our investigations to include o-old individuals ('80 y.o.), and report on preliminary results.Objective: To determine whether cognitively high functioning o-old adults continue to exhibit compensatory neural activity and a preference for attending to novelty.Methods: Electrophysiologic and behavioral responses to standard, target, and novel visual stimuli were recorded while young, middleaged, y-old, and o-old individuals performed a subject-controlled variant of the novelty oddball task.Results: Cognitively high-functioning o-old adults exhibited a large reduction in their novelty P3, but not until their mid to late 80s.Behaviorally, cognitively high-functioning individuals in their 90s continued to spend more time exploring novel than repetitive standard visual stimuli.Conclusions: Our research suggests that age-related compensatory neural activity may not be limited to high-functioning older individuals with substantial cognitive reserve, but also be observed among cognitively average-functioning adults at an earlier stage of the lifespan.Cognitively high-functioning adults appear to have the capacity to appropriate compensatory neural resources at least through their early 80s, and continue to be attracted to novelty, a hallmark of healthy human behavior, at least through their early 90s.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".