NOVEL INSIGHTS INTO GAIT, MOTOR CONTROL, AND THE BRAIN: IMPLICATIONS FOR COGNITIVE AGING
Bibliographic record
Abstract
Abstract What can muscles, gait, and brain activity tell us about cognitive decline? Are there certain markers we can track that are early predictors of cognitive status years later? In the current symposia, our goal is to address these questions with recent pilot, longitudinal and cross-sectional studies that measure potential markers of cognitive decline in different older adult cohorts. The first speaker will present findings on changes in skeletal muscle adiposity and 10-year change in global cognition from the Health Aging and Body Composition (Health ABC) study. The second speaker explores cross-national comparisons of gait speed and its association with cognitive function from the Cohort Studies of Memory in an International Consortium (COSMIC). The third speaker investigates changes in brain activity with functional near infra-red spectroscopy (fNIRS) from single to dual-task walking and its relation to changes in several gait quality parameters. The fourth speaker presents pilot work that examines dual-task gait and tapping with fNIRS and compares the dual-task performance and brain activity of older adults who report experiencing subjective cognitive decline to those that do not. The final speaker presents findings from the Baltimore Longitudinal Study on Aging (BLSA) that demonstrate that early markers of slow gait and metabolic dysfunction could identify those at risk of progression to dementia 7 years prior to onset. Taken together, the findings from this symposium present novel markers of changes in cognitive function in older adults and ultimately targets for prevention or slowing of cognitive declines in older adults at risk for dementia.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".