Behavioral correlates of GABAergic disruption in Alzheimer's disease
Bibliographic record
Abstract
BACKGROUND: Losses of gamma-aminobutyric acid (GABA) have been variably demonstrated in Alzheimer's disease (AD) and may be related to the presence of behavioral and psychological symptoms of dementia (BPSD) in AD. Our objective was to assess the relationship between plasma GABA (pGABA) levels and specific BPSD in patients with severe AD. METHODS: pGABA levels and BPSD were measured in 14 institutionalized AD patients (8M/6F, mean age +/- S.D. = 85.6 +/- 4.5 years) with severe cognitive impairment (Mini-mental State Examination score = 4.5 +/- 4.6) and prominent behavioral disturbances (Neuropsychiatric Inventory (NPI) score = 33.4 +/- 23.6). RESULTS: pGABA was positively correlated with depression and apathy scores on the NPI and negatively correlated with age. Apathy and age were independent predictors of pGABA levels. CONCLUSIONS: The final stages of AD are associated with GABAergic changes, which may contribute to depression and apathy in AD.
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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".