Apathy and affective symptoms associated with elevated plasma neurofilament light but not p‐tau181 in Alzheimer's disease
Bibliographic record
Abstract
INTRODUCTION: Apathy and affective neuropsychiatric symptoms (NPS) are prevalent in Alzheimer's disease (AD), yet their neurobiological cause is still unclear. We examined associations between plasma neurofilament light chain (NfL) and tau pathology (p-tau181) with apathy and affective symptoms in mild cognitive impairment (MCI) and AD dementia. METHODS: This longitudinal study analyzed data from 781 participants with MCI and AD dementia enrolled in ADNI, with annual blood samples collected over 4 years. NPS were assessed via the Neuropsychiatric Interview (NPI), and biomarker trajectories were analyzed using mixed-effects models. RESULTS: Elevated plasma NfL levels were associated with apathy, anxiety and depression in MCI and AD dementia, with apathy linked to a significantly higher rate of NfL increase, indicating accelerated neurodegeneration. DISCUSSION: Apathy and affective symptoms may indicate greater neurodegenerative burden in AD independent of tau-related pathology. Apathy was associated with a steeper rise in plasma NfL, suggesting a more aggressive disease progression. Highlights: Apathy and affective neuropsychiatric symptoms (NPS) are highly prevalent in clinical Alzheimer's disease (AD).The presence of apathy, depression or anxiety was associated with higher plasma levels of neurofilament light chain (NfL).Apathy was associated with an accelerated increase in plasma NfL levels over time.Apathy and affective NPS were not associated with p-tau181 levels in plasma.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".