Multivariate statistical analysis of deformation momenta relating anatomical shape to neuropsychological measures.
The purpose of this study is to characterize the neuroanatomical variations observed in neurological disorders such as dementia. We do a global statistical analysis of brain anatomy and identify the relevant shape deformation patterns that explain corresponding variations in clinical neuropsychological measures. The motivation is to model the inherent relation between anatomical shape and clinical measures and evaluate its statistical significance. We use Partial Least Squares for the multivariate statistical analysis of the deformation momenta under the Large Deformation Diffeomorphic framework. The statistical methodology extracts pertinent directions in the momenta space and the clinical response space in terms of latent variables. We report the results of this analysis on 313 subjects from the Mild Cognitive Impairment group in the Alzheimer's Disease Neuroimaging Initiative (ADNI).
Singh
Nikhil
N
University of Utah, Salt Lake City, UT, USA. nikhil@cs.utah.edu
Fletcher
P Thomas
PT
Preston
J Samuel
JS
Ha
Linh
L
King
Richard
R
Marron
J Stephen
JS
Wiener
Michael
M
Joshi
Sarang
S
D001921:Brain / Q000473:pathology*; D003072:Cognition Disorders / Q000175:diagnosis*; D003627:Data Interpretation, Statistical; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015999:Multivariate Analysis; D009483:Neuropsychological Tests; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013223:Statistics as Topic