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Record W4205861790 · doi:10.1002/alz.049730

The combined influence of beta‐amyloid and vascular risk on prospective brain atrophy in clinically normal individuals

2021· article· en· W4205861790 on OpenAlexaff
Jennifer S. Rabin, Jeremy J. Pruzin, Aaron P. Schultz, Matthew R. Scott, Olivia Hampton, Stephanie Hsieh, Hyun‐Sik Yang, Wai‐Ying Wendy Yau, Trey Hedden, Dorene M. Rentz, Keith A. Johnson, Reisa A. Sperling, Jasmeer P. Chhatwal

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsAtrophyFractional anisotropyMedicineCardiologyWhite matterPittsburgh compound BInternal medicineHyperintensityCerebral amyloid angiopathyPathologyPsychologyDementiaMagnetic resonance imagingDiseaseRadiology

Abstract

fetched live from OpenAlex

Abstract Background Amyloid‐beta (Aβ) and vascular risk factors are commonly observed together among cognitively unimpaired adults. Here, we examined the interactive associations of Aβ burden and systemic vascular risk with respect to longitudinal patterns of neurodegeneration. Secondarily, we assessed whether systemic vascular risk associations with brain atrophy were modified after adjusting for imaging based markers of white matter integrity (white matter hyperintensities (WMH) and diffusion‐derived fractional anisotropy). Methods Participants were 197 adults (age=73.5±6.1 years) from the Harvard Aging Brain Study with at least two MRI scans over a median of 4.5 years. Baseline Aβ burden was measured with Pittsburgh Compound‐B PET. Vascular risk was quantified with the Framingham Heart Study general cardiovascular disease risk score. Altered white matter microstructure was measured via diffusion‐derived fractional anisotropy and WMH burden was quantified using FLAIR images. Brain atrophy was assessed longitudinally with serial structural MRI. Aβ burden and vascular risk were examined as interactive and independent predictors of brain atrophy in separate linear mixed models, adjusting for age, sex, education, APOE ε4 status, and intracranial volume (where appropriate). Result We found a significant interaction between elevated Aβ burden and higher vascular risk in relation to faster atrophy within frontal (t=‐2.95, p=0.003) and anterior temporal lobes (t =‐2.32, p=0.021), thalamus (t=‐2.61, p=0.010) and striatum (t =‐2.17, p=0.031). Higher Aβ burden, but not vascular risk, was associated with faster atrophy in the parietal lobes (Aβ: t=‐4.14, p<0.001; vascular risk: t=‐1.54, p=0.124), occipital lobes (Aβ: t=‐2.95, p=0.003; vascular risk: t=‐0.63, p=0.526), and hippocampus (Aβ: t=‐2.72, p=0.007; vascular risk: t=0.207, p=0.836). These effects remained very similar after adjusting for WMH and fractional anisotropy measures. Conclusion Elevated vascular risk was associated with accelerated Aβ‐related atrophy in frontal and anterior temporal regions. However, higher Aβ burden alone was correlated with greater atrophy in regions often associated with a canonical AD pattern of neurodegeneration, including the hippocampus and parietal regions. These findings highlight interactions between vascular and Aβ‐related pathways with respect to brain atrophy, and the potential benefit of managing vascular risk factors as a possible intervention to slow regional neurodegeneration in preclinical Alzheimer’s disease.

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)0.002
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.027
GPT teacher head0.327
Teacher spread0.300 · 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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