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Record W4406992492 · doi:10.1161/str.56.suppl_1.wp188

Abstract WP188: Differential Patterns of Cerebral Atrophy and Clinical Impacts in Cerebral Amyloid Angiopathy and Hypertensive Cerebral Small Vessel Disease

2025· article· en· W4406992492 on OpenAlexaboutno aff
Juanjuan Wu, Yuhui Sha, Jun Ni, Bin Peng

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCerebral amyloid angiopathyCerebral atrophyAtrophyAngiopathyPathologyDiseaseCerebral circulationStroke (engine)Cerebral atherosclerosisDifferential diagnosisCardiologyCerebral arteriesInternal medicineDementiaDiabetes mellitusEndocrinology

Abstract

fetched live from OpenAlex

Introduction: Cerebral amyloid angiopathy (CAA) is an age-related cerebral small vessel disease that can lead to poor outcomes due to cerebral hemorrhage. The same applies to hypertensive cerebral small vessel disease (HTN-CSVD). Cerebral atrophy is a common imaging manifestation of CSVD, but its imaging patterns in both CAA and HTN-CSVD and clinical relevance have not been fully elucidated. Hypothesis: Based on the differences in the distribution of affected vessels between CAA and HTN-CSVD, it is hypothesized that there is a spatial distribution difference in cerebral atrophy. This may lead to different clinical characteristics between the two conditions. Previous small sample studies have shown a correlation between medial temporal lobe atrophy and cognitive levels in CAA patients, which still needs further validation. Methods: Statistical Parametric Mapping 12 was used to obtain automated, quantitative, voxel-based morphology of cerebral atrophy shown on 5.0T MRI, including total intracranial volume, gray matter volume, white matter volume and cerebrospinal fluid volume. Two-sample t test explores the differences in the spatial distribution characteristics of cerebral atrophy between 36 CAA patients and 51 HTN-CSVD patients. A voxel-wise multiple regression analysis clarifies the correlation between cerebral atrophy and cognitive decline in CAA. Results: After adjusting for age, gender, and total intracranial volume, cerebral atrophy differences between CAA and HTN-CSVD were mainly observed in the cortex of bilateral cerebellar hemispheres and vermis ( p < 0.05 FWE). There is a spatial correlation between cerebral atrophy and cognitive levels in CAA after adjusting for age, gender, and total intracranial volume. Regional brain volume in the left medial temporal lobe, insula, parietal lobe, and thalamus was associated with mini-mental state examination scores ( p < 0.05 FDR), and cerebral atrophy in the left lateral temporal lobe and right cerebellar hemisphere was associated with Montreal Cognitive Assessment scores ( p < 0.05 FDR). Conclusion: Cerebral atrophy in CAA is predominantly in the cerebellum, compared to HTN-CSVD, and is independently associated with overall cognitive levels prominantly in left temporal lobe. In conclusion, this study provides valuable reference for a better understanding of the differences of cerebral atrophy between CAA and HTN-CSVD, as well as the clinical relevance of cerebral atrophy.

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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.275
Teacher spread0.249 · 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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