AUTHOR=Zhan Liang , Liu Yashu , Wang Yalin , Zhou Jiayu , Jahanshad Neda , Ye Jieping , Thompson Paul M. TITLE=Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition JOURNAL=Frontiers in Neuroscience VOLUME=9 YEAR=2015 URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2015.00257 DOI=10.3389/fnins.2015.00257 ISSN=1662-453X ABSTRACT=

Alzheimer's disease (AD) is a progressive brain disease. Accurate detection of AD and its prodromal stage, mild cognitive impairment (MCI), are crucial. There is also a growing interest in identifying brain imaging biomarkers that help to automatically differentiate stages of Alzheimer's disease. Here, we focused on brain structural networks computed from diffusion MRI and proposed a new feature extraction and classification framework based on higher order singular value decomposition and sparse logistic regression. In tests on publicly available data from the Alzheimer's Disease Neuroimaging Initiative, our proposed framework showed promise in detecting brain network differences that help in classifying different stages of Alzheimer's disease.