MétaCan
Menu
Back to cohort
Record W2049088838 · doi:10.1017/s1041610206003899

Behavioral correlates of GABAergic disruption in Alzheimer's disease

2006· article· en· W2049088838 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Psychogeriatrics · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsUniversity of TorontoHealth Sciences CentreNorth York General HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsApathyDepression (economics)DementiaDiseaseAlzheimer's diseaseGABAergicPsychologyInternal medicineMedicinePsychiatryNeuropsychiatryClinical psychologyReceptor

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.319
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it