TY - JOUR
T1 - Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI
AU - Davatzikos, C.
AU - Resnick, S. M.
AU - Wu, X.
AU - Parmpi, P.
AU - Clark, C. M.
N1 - Funding Information:
We gratefully acknowledge the staff and participants of the BLSA and the Penn Memory Center. This study was supported in part by NIH funding sources R01-AG14971, P30-AG10124, and N01-AG-3-2124, and by the Intramural Research Program, National Institute on Aging, NIH.
PY - 2008/7/15
Y1 - 2008/7/15
N2 - The purpose of this study is to determine the diagnostic accuracy of MRI-based high-dimensional pattern classification in differentiating between patients with Alzheimer's disease (AD), Frontotemporal Dementia (FTD), and healthy controls, on an individual patient basis. MRI scans of 37 patients with AD and 37 age-matched cognitively normal elderly individuals, as well as 12 patients with FTD and 12 age-matched cognitively normal elderly individuals, 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. Complex spatial patterns of relatively reduced brain volumes were identified, including temporal, orbitofrontal, parietal and cingulate regions, which were predominantly 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. In conclusion, AD- and 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.
AB - The purpose of this study is to determine the diagnostic accuracy of MRI-based high-dimensional pattern classification in differentiating between patients with Alzheimer's disease (AD), Frontotemporal Dementia (FTD), and healthy controls, on an individual patient basis. MRI scans of 37 patients with AD and 37 age-matched cognitively normal elderly individuals, as well as 12 patients with FTD and 12 age-matched cognitively normal elderly individuals, 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. Complex spatial patterns of relatively reduced brain volumes were identified, including temporal, orbitofrontal, parietal and cingulate regions, which were predominantly 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. In conclusion, AD- and 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.
KW - Alzheimer's disease (26)
KW - Frontotemporal dementia (29)
KW - Volumetric MRI (130)
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U2 - 10.1016/j.neuroimage.2008.03.050
DO - 10.1016/j.neuroimage.2008.03.050
M3 - Article
C2 - 18474436
AN - SCOPUS:44649136049
SN - 1053-8119
VL - 41
SP - 1220
EP - 1227
JO - NeuroImage
JF - NeuroImage
IS - 4
ER -