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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
Author(s) -
Fennema-Notestine Christine,
Hagler Donald J.,
Wu Elaine H.,
Podraza Katherine M.,
Fleisher Adam S.,
Karow David S.,
McEvoy Linda K.,
Dale Anders M.
Publication year - 2007
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2007.04.027
Subject(s) - alzheimer's disease neuroimaging initiative , posterior cingulate , neuroimaging , region of interest , cohort , biomarker , imaging biomarker , medicine , cortex (anatomy) , psychology , magnetic resonance imaging , nuclear medicine , alzheimer's disease , disease , neuroscience , radiology , biology , biochemistry
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.