Increased Resting-State BOLD Turnover (TBOLD) is Associated With Decreased Cognitive Performance During Aging
Bibliographic record
Abstract
Increasing evidence documents turnover of the resting-state blood-oxygen-level dependent signal (TBOLD) as a key measure of local cortical brain status. Here we evaluated contemporaneous and lagged associations between TBOLD and cognitive function in 711 participants in the Human Connectome Project on Aging (HCP-A; 316 males and 395 females, age range 36-90 years). We found that TBOLD was negatively associated with Montreal Cognitive Assessment (MoCA) Total scores and with performance on 2 subscales, Delayed Recall and Visuospatial/Executive Function, controlling for sex, age, and handedness. This negative association was largely documented across brain areas and was significantly stronger in the left hemisphere compared to the right. In addition, analyses evaluating forward lagged crosscorrelations between TBOLD and cognitive performance demonstrated that TBOLD predicted decrements in future performance on MoCA Total score, Delayed Recall, and Visuospatial/Executive Function subscales, controlling for sex and handedness. Taken together, we found that increased TBOLD is associated with decreased cognitive performance contemporaneously and in the future. On the hypothesis that increased TBOLD is the outcome of neuroinflammatory processes, these findings provide a mechanism linking neuroinflammation with decreased cognitive performance.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".