veganbagel

veganbagel estimates age- and sex-specific regional brain volume deviations from T1-weighted MRI scans to assess brain atrophy against normative population templates.

Key Features:

• Automated preprocessing: Processes T1-weighted MRI scans with gray matter (GM) segmentation, spatial normalization, modulation, and spatial smoothing.
• Normative comparison: Generates voxel-wise z-maps by comparing processed GM images to precomputed age- and sex-specific GM templates derived from the Nathan Kline Institute Rockland Sample.
• Visualization of deviations: Produces color-coded z-maps fused with the subject's original T1-weighted images to display regional volume deviations.
• Technical validation: Demonstrated successful atrophy map generation in 99.5% of 1,329 subjects in a feasibility study using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI).
• Clinical sensitivity: Showed higher sensitivity for diagnosing Alzheimer’s disease and mild cognitive impairment (MCI) based on medial temporal atrophy assessment compared with traditional visual rating scales, with lower specificity.

Scientific Applications:

• Neurodegenerative disease research: Quantifies regional atrophy patterns relevant to Alzheimer’s disease and MCI using age- and sex-specific normative comparisons.
• Diagnostic assessment and monitoring: Supports evaluation of medial temporal and other regional brain volume deviations for diagnosis and longitudinal monitoring of atrophy.

Methodology:

Applies voxel-based morphometry to T1-weighted MRI with GM segmentation, normalization, modulation, and spatial smoothing, then computes voxel-wise z-maps against precomputed age- and sex-specific GM templates from the Nathan Kline Institute Rockland Sample.