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IC‐P‐106: Sparse Bayesian learning for identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease
Author(s) -
Wan Jing,
Zhang Zhilin,
Fang Shiaofen,
Risacher Shan,
Saykin Andrew,
Shen Li
Publication year - 2013
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2013.05.103
Subject(s) - alzheimer's disease neuroimaging initiative , multivariate statistics , regression , neuroimaging , bayesian probability , voxel , artificial intelligence , cognition , psychology , regression analysis , pattern recognition (psychology) , computer science , machine learning , statistics , cognitive impairment , mathematics , neuroscience
Cingulate AntCingulate, MidCingulate, PostCingulate Parietal Lobe Angular, InfParietal, SupParietal, Precuneus, Supramarg Temporal Lobe (cortical) Fusiform, Heschl, Lingual, Olfactory, Parahipp, InfTemporal, MidTempPole, MidTemporal, SupTempPole, SupTemporal Occiptal Lobe Calcarine, Cuneus, InfOccipital, MidOccipital, SupOccipital Insula Insula Sensory-Motor Cortex Paracentral, Postcentral, Precentral Jing Wan, Zhilin Zhang, Shiaofen Fang, Shannon Risacher, Andrew Saykin, Li Shen FOR THE ALZHEIMER’S DISEASE NEUROIMAGING INITIATIVE (ADNI), Purdue University, Indianapolis, Indianapolis, Indiana, United States; Samsung R&D America-Dallas, Richardson, Texas, United States; Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, United States; Indiana University School of Medicine, Indianapolis, Indiana, United States; UC San Francisco, San Francisco, California, United States. Contact e-mail: wanjing@iupui.edu