MétaCan
Menu
← Back to cohort
Record W4406209851 · doi:10.1002/alz.092651

Tau accumulation mediates β‐amyloid effects on hippocampal atrophy and memory in early Alzheimer’s disease

2024· article· en· W4406209851 on OpenAlexaff
Sofia Fernandez‐Lozano, Vladimir Fonov, Joseph Therriault, Nesrine Rahmouni, Stijn Servaes, Jenna Stevenson, Nina Margherita Poltronetti, Pedro Rosa‐Neto, D. Louis Collins

Bibliographic record

VenueAlzheimer s & Dementia · 2024
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsNeuroscienceHippocampal formationAtrophyDiseaseAmyloid (mycology)Amyloid βAlzheimer's diseaseHippocampusMedicinePsychologyPathology

Abstract

fetched live from OpenAlex

Abstract Background While we know dementia in Alzheimer’s disease (AD) results from the accumulation of β‐amyloid (Aβ), tau pathology, and hippocampus atrophy (HC), it is still unclear how these factors impose cognitive decline. Method We used Structural Equation Models (SEM; lavaan R package) to explore the complex relationships between the neurobiological factors in the early stages preceding AD dementia in the TRIAD cohort. Our sample comprised 333 timepoints of neuropsychological evaluation (MoCA), structural MRI, Aβ ([18F]AZD4694), and tau ([18F]MK6240) PET of cognitively healthy (NC) and mild cognitive impaired (MCI) participants. We measured neurodegeneration with an inverted HC‐to‐Ventricle ratio (HVR), i.e. 1‐HVR, an integrity measure composed of the ratio of the HC volume and the sum of the volumes of HC and the temporal horn of the lateral ventricle. We used a feature selection algorithm (Boruta R package) to select the most important Regions of Interest (ROIs) from the CerebrA atlas relating Aβ & Tau to memory. We then used SEM to explore the mediation of Aβ and Tau on HC‐atrophy and memory using 1) the average Aβ & Tau SUVR of all ROIs and 2) separate models using the Aβ & Tau SUVR for each of the ROIs. Age, sex and education were treated as covariates. For ease of comparison, we calculated the standardized coefficients in our models. Result The demographic data of our sample is presented in Table 1. The selected ROIs were: bilateral amygdala, hippocampus, and parahippocampal gyrus; right fusiform gyrus and orbitofrontal cortex (lateral and medial portions); and left middle temporal gyrus. The full SEM with all ROIs show full mediation between Aβ, Tau and HC‐atrophy, and partial mediation between all biomarkers (Figure 1). On the distinct models by ROI, Amyloid’s effect on MoCA is almost always indirect through Tau (Figure 2). Conclusion We show that, even in the early stages of AD, Aβ aggregation alone has no effect on HC atrophy, and only a weak effect on cognitive decline; interactions with tau pathology is required to modulate the effects of Aβ aggregation on both HC atrophy and memory loss.

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)0.002
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.322
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

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAlzheimer s & Dementia→Same topicAlzheimer's disease research and treatments→French-language works237,207→