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Record W7116875500 · doi:10.1002/alz70855_099499

Association between glymphatic function and cerebrovascular reactivity in patients with cerebral amyloid angiopathy and Alzheimer's disease

2025· article· en· W7116875500 on OpenAlexaff
S Dahyun Park, Cheryl R. McCreary, Myrlene Gee, Erin L. Mazerolle, Richard Frayne, Zahinoor Ismail, Glen C. Jickling, Richard Camicioli, G. Bruce Pike, Eric E. Smith, Andrew E. Beaudin

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsHotchkiss Brain InstituteSt. Francis Xavier UniversityUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsCerebral amyloid angiopathyGlymphatic systemVasomotionDiseaseCerebral blood flowAmyloid (mycology)MicrocirculationFunction (biology)

Abstract

fetched live from OpenAlex

Abstract Background Cerebral amyloid angiopathy (CAA) is characterized by deposition of amyloid‐beta (Aβ) within the walls of the small blood vessels of the brain and leptomeninges. It causes ∼20% of intracerebral hemorrhage, increases the risk of dementia, and is common in patients with Alzheimer's disease (AD). Deposition of Aβ may result from impaired glymphatic clearance concurrent with a reduction in cerebrovascular reactivity, but this has not been investigated in patients with CAA or AD. Method Patients with CAA ( N = 43) and AD ( N = 16) patients and healthy controls (HC; N = 53) underwent an MRI at 3T that included a T1‐weighted and fluid attenuated inversion recovery (FLAIR) images, diffusion‐weighted imaging (30 directions; b‐value=1000s/mm 2 ) and BOLD imaging involving a 2‐minute hypercapnic challenge (5% inspired CO 2 ). Glymphatic function was quantified by diffusion tensor imaging along the perivascular space (DTI‐ALPS; ratio between diffusion in the perivascular space direction and diffusion of free water in the interstitium) while CVR was quantified as the % change in BOLD per mmHg increase in the end‐tidal partial pressure of CO 2 . Group comparisons of DTI‐ALPS were adjusted for age and sex while comparisons of CVR were adjusted for age, sex and hypertension. Associations between DTI‐ALPS and CVR were adjusted for age, sex, hypertension, white matter hyperintensity volume and group. Result CAA and AD participants were predominantly male whereas HCs were predominantly female (Table). CAA participants were older with a greater prevalence of hypertension. DTI‐ALPS was lower in patients with CAA and AD versus HCs (ANCOVA, p <0.001; Figure 1A). Similarly, grey matter (GM), white matter (WM), and global CVR (mean of GM and WM) were lower in CAA and AD compared to HCs (all ANCOVAs, p <0.001; Figure 1B). However, DTI‐ALPS was not associated with GM (‐0.18 (‐0.73 ‐ 0.36), p = 0.504), WM (0.02, ‐0.84 ‐ 0.89, p = 0.646) or global CVR (‐0.15, ‐0.85 ‐ 0.55, p = 0.94; Figure 2). Conclusion Vascular contributions to reduced glymphatic function in CAA and AD may be more related to changes in vasomotion and pulsatility of blood flow through cerebral vessels than the ability of the cerebrovasculature to dilate.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.225
Teacher spread0.213 · 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

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