Cerebrovascular reactivity impairment in genetic frontotemporal dementia
Bibliographic record
Abstract
Abstract INTRODUCTION Cerebrovascular reactivity (CVR) is an indicator of cerebrovascular health and its signature in hereditary frontotemporal dementia (FTD) remains unknown. We investigated CVR in genetic FTD and its relationship to cognition. METHODS CVR differences were assessed between 284 pre-symptomatic and 124 symptomatic mutation carriers, and 265 non-carriers, using resting-state fluctuation amplitudes (RSFA) on component-based and voxel-level RSFA maps. Associations and interactions between RSFA, age, genetic status, and cognition were examined using generalised linear models. RESULTS Compared to non-carriers, mutation carriers exhibited greater RSFA reductions, predominantly in frontal cortex. These reductions increased with age. The RSFA in these regions correlated with cognitive function in symptomatic and, to a lesser extent, pre- symptomatic individuals, independent of disease stage. DISCUSSION CVR impairment in genetic FTD predominantly affects frontal cortical areas, and its preservation may yield cognitive benefits for at-risk individuals. Cerebrovascular health may be a potential target for biomarker identification and disease-modifying efforts.
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".