@inproceedings{9df5d688171547e2a5aeeddb45215069,
title = "Multiple stages classification of Alzheimer{\textquoteright}s disease based on structural brain networks using generalized low rank approximations (GLRAM)",
abstract = "To classify each stage for a progressing disease such as Alzheimer{\textquoteright}s disease is a key issue for the disease prevention and treatment. In this study, we derived structural brain networks from diffusion-weighted MRI using whole-brain tractography since there is growing interest in relating connectivity measures to clinical, cognitive, and genetic data. Relatively little work has usedmachine learning to make inferences about variations in brain networks in the progression of the Alzheimer{\textquoteright}s disease. Here we developed a framework to utilize generalized low rank approximations of matrices (GLRAM) and modified linear discrimination analysis for unsupervised feature learning and classification of connectivity matrices. We apply the methods to brain networks derived from DWI scans of 41 people with Alzheimer{\textquoteright}s disease, 73 people with EMCI, 38 people with LMCI, 47 elderly healthy controls and 221 young healthy controls. Our results show that this new framework can significantly improve classification accuracy when combining multiple datasets; this suggests the value of using data beyond the classification task at hand to model variations in brain connectivity.",
author = "L. Zhan and Z. Nie and J. Ye and Yalin Wang and Y. Jin and N. Jahanshad and G. Prasad and {de Zubicaray}, {G. I.} and McMahon, {K. L.} and Martin, {N. G.} and Wright, {M. J.} and Thompson, {P. M.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; MICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014 ; Conference date: 18-09-2014 Through 18-09-2014",
year = "2014",
doi = "10.1007/978-3-319-11182-7_4",
language = "English (US)",
series = "Mathematics and Visualization",
publisher = "springer berlin",
pages = "35--44",
editor = "Torben Schneider and Marco Reisert and Lauren O{\textquoteright}Donnell and Yogesh Rathi and Gemma Nedjati-Gilani",
booktitle = "Computational Diffusion MRI - MICCAI Workshop 2014",
}