Multivariate Age-Related Variations in Quantitative MRI Maps

Soodeh Moallemian's study provides multivariate ANOVA results on age-related microstructural changes in brain tissues, analyzing quantitative MRI maps for R1, R2*, MTsat, and PD. The data is a re-analysis of a previous publication, focusing on voxel-wise and ROI analyses in gray and white matter. The dataset was last updated on 2026-05-18 and is available as a 983.7 KB PDF file under a CC-BY-4.0 license.

Use Cases

• Comparing multivariate versus univariate sensitivity for detecting age-related brain changes based on the described methodological comparison.
• Identifying brain regions with coordinated alterations in myelin, iron, and water content based on the multivariate model findings.
• Cross-validating multivariate analysis results by splitting data into subsets, as described in the study.
• Analyzing age-dependent alterations in specific regions like the caudate nucleus, hippocampus, and cerebellum based on the reported ROI analyses.

Strengths

• The multivariate model demonstrated greater sensitivity than univariate analyses, detecting more significant voxels in several brain regions.
• The analysis examined concurrent age-dependent alterations in myelin, iron, and water content within defined ROIs.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is a PDF file of 983.7 KB, which suggests limited scope and may not contain raw tabular data.
• Column-level documentation is absent; field semantics must be inferred from the PDF content.
• Row count is unknown, which may limit suitability assessment for computational analysis.

Provenance

Source

figshare

Collection Method

Re-analysis of MRI data using multivariate ANOVA.

Freshness

Last updated 2026-05-18 05:43:11; freshness should be verified.