Project: Alzheimer's Disease Neuroimaging Initiative


 

Alzheimer's Disease Neuroimaging Initiative

Award:

5R01EB007688-03


 

Characterization of the neuroanatomical variations observed in neurological disorders using a global statistical analysis of brain anatomy.

 

The overall goal of this project is threefold: (1) To define the rate of progress of mild cognitive impairment and Alzheimer's disease; (2) To develop improved methods for clinical trials in this area; and (3) To provide a large database which will improve the design of treatment trials. This project provides information and methods that facilitate effective treatments for Alzheimer’s disease and lead to effective prevention.

We study the covariance of the anatomical structures in the entire brain volume, without segmentation or a priori regions of interest identification. We also provide a global statistical analysis of brain anatomy and identify the relevant shape of deformation patterns that correspond to variations in clinical neuropsychological measures. Our aim is to model the inherent relation between anatomical shape and clinical measures, and to evaluate its statistical significance. 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 our analysis on subjects from the Mild Cognitive Impairment group in the Alzheimer's Disease Neuroimaging Initiative (ADNI)

 

 

theme-shape-analysis

LV1 log Jacobians overlayed on atlas. Red denotes regions of local expansion and blue denotes regions of local contraction

 

 

Publications:

  • Ha L, Prastawa M, Gerig G, Gilmore JH, Silva CT, Joshi S. Image registration driven by combined probabilistic and geometric descriptors. Med Image Comput Comput Assist Interv. 2010;13(Pt 2):602-9.

  • Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bullitt, Sarang C. Joshi: Population Shape Regression from Random Design Data. 255-266 IJCV (International Journal of Computer Vision), Volume 90, Number 1, October 2010

  • Fletcher PT, Venkatasubramanian S, Joshi S. The geometric median on Riemannian manifolds with application to robust atlas estimation. Neuroimage. 2009 Mar;45(1 Suppl):S143-52. Epub 2008 Nov 13. PMCID: PMC2735114

  • Singh N, Fletcher PT, Preston JS, Ha L, King R, Marron JS, Wiener M, Joshi S. Multivariate statistical analysis of deformation momenta relating anatomical shape to neuropsychological measures. Med Image Comput Comput Assist Interv. 2010;13(Pt 3):529-37. PMID: 20879441

  • Gerber S, Tasdizen T, Thomas Fletcher P, Joshi S, Whitaker R; Alzheimers Disease Neuroimaging Initiative (ADNI). Manifold modeling for brain population analysis. Med Image Anal. 2010 Oct;14(5):643-53. Epub 2010 Jun 4. PMID: 20579930

  • Gerber S, Tasdizen T, Joshi S, Whitaker R. On the manifold structure of the space of brain images. Med Image Comput Comput Assist Interv. 2009;12(Pt 1):305-12. PMID: 20426001

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