Association of total tau and phosphorylated tau 181 protein levels in cerebrospinal fluid with cerebral atrophy in mild cognitive impairment and Alzheimer disease
Bibliographic record
Abstract
BACKGROUND: We sought to examine the association of levels of total tau (t-tau) and phosphorylated tau 181 (p-tau181) protein with brain morphology in mild cognitive impairment, as defined by the concept of aging-associated cognitive decline (AACD) and Alzheimer disease. METHODS: Twenty-three participants with AACD, 16 with Alzheimer disease and 15 healthy controls underwent magnetic resonance imaging and lumbar puncture. We performed voxel-based morphometry to investigate the association between tau levels in cerebrospinal fluid (CSF) and cerebral grey matter density throughout the entire brain. RESULTS: Voxel-based morphometry revealed that both elevated t-tau and p-tau181 concentrations were associated with reduced grey matter density in temporal, parietal and frontal regions. Among participants with AACD, elevated levels of p-tau181 (but not t-tau) in CSF were correlated with a pronounced atrophy in the right hippocampus. LIMITATIONS: Our study was limited by the small sample, especially with respect to the analysis comprising the AACD subgroups. Moreover, we did not correct our voxel-based morphometry analyses for multiple dependent comparisons, therefore they harbour a risk of false-positive results. CONCLUSION: Elevated levels of t-tau and p-tau181 in CSF reflect degenerative processes in the cortical regions typically affected in Alzheimer disease. Our findings in participants with AACD support the hypothesis that p-tau181 might be more specifically related to neurodegenerative changes in early Alzheimer disease.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".