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 Alzheimers Disease Neuroimaging Initiative (ADNI)
Nikhil Singh P.Thomas Fletcher J.Samuel Preston Linh Ha Richard King J.Stephen Marron Michael Wiener Sarang Joshi
University of Utah, Salt Lake City, UT University of North Carolina at Chapel Hill, Chapel Hill, NC University of California, San Francisco, CA
国际会议
北京
英文
529–537
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）