Relationship Between Alzheimer Disease Imaging Biomarkers and Performance on the NIH Toolbox Cognition Battery in Late-middle Age Hispanics
Bibliographic record
Abstract
PURPOSE: The National Institute of Health Toolbox Cognition Battery (NIHTB-CB) is increasingly used in Alzheimer disease (AD) research. We examined the relation of AD biomarkers with performance in the NIHTB-CB in late middle age. METHODS: This is a cross-sectional analysis of 334 Hispanic participants aged 64.22±3.35 years from a study of AD biomarkers. White matter hyperintensities (WMH), infarcts, and cortical thickness in AD regions (CT) were assessed with 3T magnetic resonance imaging. Amyloid and tau were assessed with 18F-Florbetaben and 18F-MK6240 positron emission tomography, respectively. RESULTS: Lower CT and infarcts were associated with worse Oral Reading Recognition and Cognition Crystallized Composite scores. Lower CT and higher WMH were associated with worse Pattern Comparison Processing Speed. Amyloid and tau were not associated with any test. DISCUSSION: Amyloid and tau, the culprits of AD, are not related to the NIHTB-CB in late middle age. Continued follow-up will reveal if AD impacts performance on the NIHTB-CB.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".