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Record W4206022679 · doi:10.1002/alz.053223

Preclinical amyloid‐PET SUVr in the precuneus and posterior cingulate associations with MoCA scores are driven by language domain subscores

2021· article· en· W4206022679 on OpenAlexaboutno aff
Doaa Ali, Justin M. Barber, Riham H. El Khouli, Brian T. Gold, Jordan P. Harp, Linda J. Van Eldik, Donna M. Wilcock, Gregory A. Jicha

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentPrecuneusStandardized uptake valueNeurologyDementiaCognitionPosterior cingulateMedicineInternal medicineCognitive declinePsychologyNuclear medicinePathologyDiseasePositron emission tomographyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background β‐amyloid (Aβ) deposition in the brain is the earliest pathological change supporting a diagnosis of preclinical Alzheimer’s disease (pAD). Such deposition can be quantified using amyloid‐PET scans, which also enable a quantitative evaluation of the distribution of the pathology in pAD. Cognitive screening instruments such as the Montreal Cognitive Assessment (MoCA) are widely used to detect cognitive decline as one transitions from pAD to mild cognitive impairment or dementia due to AD, but have little proven utility in tracking cognitive decline during the stage of pAD. The present study sought to identify potential relationships between regional Aβ deposition and domain specific subscales and items comprising the MoCA in pAD. Method Ninety‐nine clinically normal participants with a MoCA score ≥ 23 underwent F18‐florbetapir PET/CT scanning and regional standardized uptake value ratio (SUVr) was determined using the Siemens Syngo.via® Neurology software package. Relationships between regional SUVr and MoCA test performance as well as MoCA domain scores were analyzed using linear regression models adjusted for age and education. Result Subjects included 68 women and 31 men with a mean age of 74.2±6.3 years, education 16.7±2.6 years, and MoCA 26.6± 1.9. The adjusted linear regression analyses demonstrated that reduced global MoCA score was associated with increased regional SUVr in the precuneus and posterior cingulate regions only (p<0.05). This relationship appeared to be driven predominantly by the language domain index score rather than other subdomains of the MoCA (R2=0.122; p= 0.003). Conclusion These data demonstrate that increased Aβ deposition in the precuneus and posterior cingulate (the earliest brain regions affected with Aβ pathology) are associated with decreased global cognitive performance, driven by language domain subscores in individuals with pAD. Further research using more sensitive domain‐specific tests in cognitively normal individuals may help determine optimal low‐cost, non‐invasive, neuropsychological predictors of pAD.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0030.000

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 head0.021
GPT teacher head0.320
Teacher spread0.299 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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