Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls

• Published in: NeuroImage (Orlando, Fla.) Vol. 54; no. 2; pp. 1178 - 1187
• Main Authors: Westman, Eric, Simmons, Andrew, Zhang, Yi, Muehlboeck, J-Sebastian, Tunnard, Catherine, Liu, Yawu, Collins, Louis, Evans, Alan, Mecocci, Patrizia, Vellas, Bruno, Tsolaki, Magda, Kłoszewska, Iwona, Soininen, Hilkka, Lovestone, Simon, Spenger, Christian, Wahlund, Lars-Olof
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.01.2011; Elsevier Limited
• Subjects: Aged; Alzheimer Disease - diagnosis; Alzheimer's disease; Biomarkers; Cognition Disorders - diagnosis; Cognitive ability; Confidence intervals; Data analysis; Dementia; Discriminant analysis; Female; Hippocampus; Hippocampus - pathology; Humans; Illnesses; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging; Male; MCI; Medical imaging; Memory; Mild cognitive impairment; MRI; Multivariate Analysis; Neurodegenerative diseases; NMR; Nuclear magnetic resonance; Orthogonal partial least squares; Patients; Principal components analysis; Segmentation; Sensitivity and Specificity; Standard deviation; Studies; Europe; MCI; Orthogonal partial least squares; MRI; Mild cognitive impairment; Alzheimer's disease

We have used multivariate data analysis, more specifically orthogonal partial least squares to latent structures (OPLS) analysis, to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI) and elderly control subjects combining both regional and global magnetic resonance...