Supplementary file 1_MRI evaluation of cerebral perivascular spaces predicts amyloid-relat

Supplementary file 1_MRI evaluation of cerebral perivascular spaces predicts amyloid-related imaging abnormalities risk in preclinical Alzheimer's disease.docx is a dataset from the A4 study containing baseline MRI measurements for 1,088 participants. It includes quantitative radiographic markers like perivascular spaces volume, white matter hyperintensities, and microhemorrhage counts used to predict ARIA risk over a median follow-up of 5.4 years. The dataset was authored by Bavrina Bigjahan and last updated on 2026-04-09.

Use Cases

• Predicting amyloid-related imaging abnormalities risk based on baseline perivascular spaces volume.
• Analyzing the relationship between cerebral small vessel disease markers and ARIA incidence.
• Developing risk stratification models for ARIA using quantitative MRI measurements.
• Investigating the effect of PVS on ARIA risk in APOE-ε4 non-carriers or individuals with low WMH burden.

Strengths

• Dataset includes 6,028 brain MRI scans from 1,088 participants.
• Median study follow-up period is 5.4 years.
• Analysis includes 356 diagnosed ARIA events.
• Quantitative measurements were made using robust fully-automated segmentation methods.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document, which may not be a standard data format.

Provenance

Source

figshare

Collection Method

Data derived from the A4 study, with MRI markers segmented using automated methods on T1-weighted and FLAIR images.

Freshness

Last updated 2026-04-09 04:08:49; freshness should be verified.