O2–03–02: Preliminary cross‐sectional and longitudinal cortical thickness analyses of MRI data from the Alzheimer's disease neuroimaging initiative (ADNI) using morphometry birn methods

healthy controls, were analyzed using voxel-based analysis and high-dimensional pattern classification. Diagnostic sensitivity and specificity of spatial patterns of regional brain atrophy found to be characteristic of AD and FTD were determined via cross-validation and via split-sample methods. Results: Complex spatial patterns of relatively reduced brain volumes were identified, including temporal, orbitofrontal and cingulate regions, which were predominately characteristic of either AD or FTD. These patterns provided 100% diagnostic accuracy, when used to separate AD or FTD from healthy controls. The ability to correctly distinguish AD from FTD averaged 84.3%. All estimates of diagnostic accuracy were determined via cross-validation. Conclusion: ADand FTD-specific patterns of brain atrophy can be detected with high accuracy using high-dimensional pattern classification of MRI scans obtained in a typical clinical setting.