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IC‐P‐024: Capitalizing on complementary FDG‐PET and florbetapir‐PET data sets to distinguish between early and late mild cognitive impairment using multimodal partial least squares
Author(s) -
Protas Hillary,
Chen Kewei,
Reschke Cole,
Roontiva Auttawut,
Lee Wendy,
Nishimura Mark,
Ayutyat Napatkamon,
Liu Xiaofen,
Thiyyagura Pradeep,
Parks Stephanie,
Koeppe Robert,
Jagust William,
Foster Norman,
Weiner Michael,
Fleisher Adam,
Reiman Eric
Publication year - 2012
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.2012.05.056
Subject(s) - univariate , voxel , positron emission tomography , neuroimaging , multivariate statistics , partial volume , partial least squares regression , pet imaging , univariate analysis , multivariate analysis , psychology , nuclear medicine , medicine , mathematics , statistics , neuroscience , radiology
AND FLORBETAPIR-PET DATA SETS TO DISTINGUISH BETWEEN EARLYAND LATEMILD COGNITIVE IMPAIRMENT USING MULTIMODAL PARTIAL LEAST SQUARES Hillary Protas, Kewei Chen, Cole Reschke, Auttawut Roontiva, Wendy Lee, Mark Nishimura, Napatkamon Ayutyanont, Xiaofen Liu, Pradeep Thiyyagura, Stephanie Parks, Robert Koeppe, William Jagust, Norman Foster, Michael Weiner, Adam Fleisher, Eric Reiman, Banner Alzheimer’s Institute, Phoenix, Arizona, United States; 2 University of Michigan, Ann Arbor, Michigan, United States; 3 University of California, Berkeley, Berkeley, California, United States; University of Utah, Salt Lake City, Utah, United States; University of California, San Francisco, San Francisco, California, United States.