Brain MRI Pattern Recognition Translated to Clinical Scenarios.

ABSTRACT: We explored the performance of structure-based computational analysis in four neurodegenerative conditions [Ataxia (AT, n = 16), Huntington's Disease (HD, n = 52), Alzheimer's Disease (AD, n = 66), and Primary Progressive Aphasia (PPA, n = 50)], all characterized by brain atrophy. The independent variables were the volumes of 283 anatomical areas, derived from automated segmentation of T1-high resolution brain MRIs. The segmentation based volumetric quantification reduces image dimensionality from the voxel level [on the order of [Formula: see text](10⁶)] to anatomical structures [[Formula: see text](10²)] for subsequent statistical analysis. We evaluated the effectiveness of this approach on extracting anatomical features, already describe

SUBMITTER: Faria AV 

PROVIDER: S-EPMC5655969 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature