P3‐087: Neuropsychiatric correlates of CSF Tau and P‐Tau in dementia
Bibliographic record
Abstract
Cerebrospinal fluid (CSF) markers are valuable in the diagnosis of dementia. The major histopathological hallmarks of AD are neurofibrillary tangles with microtubule-associated protein Tau and senile plaques involving proteolytic cleavage of the amyloid precursor protein. Many studies have shown that these pathological changes are reflected in the CSF and are readily detectable. The aim of this study was to explore the relationship between cerebrospinal fluid (CSF) biomarkers (Tau and P-Tau 181) and neuropsychiatric symptoms in people with dementia. Psychosis, agitation, apathy, and depression were assessed using standardised measures in 49 patients with mild dementia and healthy elderly controls (n=16). Levels of Tau and P-181 Tau were quantified using conventional ELISA method. Tau and P-Tau were increased in patients with dementia and the subgroup with Alzheimer's disease compared to the control group. There were no significant correlations between indices of psychosis, agitation or depression and CSF tau or P-Tau concentrations in the total dementia or the AD groups, but there was a significant inverse association with apathy. Few studies have reported association of neuropsychiatric symptoms and NFT pathology in AD. Our finding show no relationship with overall levels of Tau and P-Tau (P-181) and neuropsychiatric symptoms, indicating that these markers have limited value as potential biomarker for neuropsychiatric symptoms. Our result showed inverse association with apathy. Apathy is a distinct and identifiable syndrome in AD and it is associated with neurochemical alterations (i.e. the cholinergic system as well as dopaminergic and related neurotransmitter changes). More studies focusing on the relationship between CSF neurotransmitters and metabolites are required to assess if alterations in neurotransmitters and metabolites level can be reliable markers for concurrent neuropsychiatric symptoms in AD and related dementias.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".