MétaCan
Menu
← Back to cohort
Record W7116844966 · doi:10.1002/alz70861_108933

Spatiotemporal associations between amyloid and tau pathologies in preclinical Alzheimer’s disease

2025· article· en· W7116844966 on OpenAlexaff
Alfonso Fajardo, Ting Qiu, Sylvia Villeneuve

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill University Health CentreMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsDiseaseAmyloid (mycology)Tau pathologyTemporal lobeArc (geometry)Alzheimer's disease

Abstract

fetched live from OpenAlex

BACKGROUND: In Alzheimer's disease (AD), the Thal and Braak staging framework describes the typical regional progression of amyloid-beta (Aβ) and tau, respectively. However, the spatiotemporal relationships between Aβ and tau remain poorly understood. These interactions may influence the rate and pattern of disease progression. We aimed to a) characterize the regional cross-sectional associations between Aβ and tau PET signals, b) examine whether regional Aβ accumulation at baseline predicts subsequent regional tau accumulation over time, and c) examine the regional longitudinal associations between Aβ and tau PET signals. METHOD: We analyzed baseline (n =252) and ∼4.5-year follow-up (n =108) Aβ- and tau-PET scans from cognitively unimpaired individuals with a family history of AD in the PREVENT-AD cohort. Regional SUVRs for Aβ and tau were extracted from 34 bilateral regions of interest using the Desikan-Killiany parcellation. For aim a, region-wise Pearson correlations were computed between baseline Aβ and tau SUVRs. Non-significant correlations were thresholded. Hierarchical clustering identified regional groups with similar Aβ-tau associations. For aim b, the same procedure was used for annual rate of change (aRC). We also assessed baseline Aβ vs tau aRC and vice versa. In both analyses, tau SUVRs or aRC were compared between Aβ- and Aβ+ groups (Centiloid > 20). RESULT: Cross-sectional analyses showed that Aβ SUVRs across most regions were positively correlated with tau SUVRs in the amygdala and medial/inferior temporal lobes. Similar patterns were observed longitudinally. Baseline Aβ in widespread cortical regions was associated with greater tau aRC in the amygdala, precuneus/posterior cingulum, superior-parietal, and lateral occipital cortices. In both analyses, Aβ+ individuals showed higher tau deposition in Braak I and Braak III regions. CONCLUSION: Beyond the inferior/medial temporal lobe regions commonly included in the tau "temporal meta-ROI," we observed significant Aβ associations with both tau and tau aRC in the latero-occipital and superior-parietal cortices. Longitudinal analyses further revealed a strong Aβ-tau relationship in the precuneus/posterior cingulum. As these areas correspond to later Braak stages and are not typically emphasized in early AD assessments, their involvement may reflect spatial tau progression and highlight the need to consider them in future studies of preclinical 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.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.389
Teacher spread0.318 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer s & Dementia→Same topicDementia and Cognitive Impairment Research→French-language works237,207→