P2‐217: Capitalizing on complementary FDG PET and florbetapir PET data sets to distinguish between early and late mild cognitive impairment using multi‐modal partial least squares | Zendy

Protas Hillary | Zendy; Chen Kewei | Zendy; Reschke Cole | Zendy; Roontiva Auttawut | Zendy; Lee Wendy | Zendy; Nishimura Mark | Zendy; Ayutyat Napatkamon | Zendy; Liu Xiaofen | Zendy; Thiyyagura Pradeep | Zendy; Parks Stephanie | Zendy; Koeppe Robert | Zendy; Jagust William | Zendy; Foster Norman | Zendy; Weiner Michael | Zendy; Fleisher Adam | Zendy; Reiman Eric | Zendy

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P2‐217: Capitalizing on complementary FDG PET and florbetapir PET data sets to distinguish between early and late mild cognitive impairment using multi‐modal 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.2012.05.924

Subject(s) - voxel , univariate , positron emission tomography , multivariate statistics , neuroimaging , partial volume , pet imaging , nuclear medicine , multivariate analysis , univariate analysis , pattern recognition (psychology) , mathematics , medicine , statistics , psychology , artificial intelligence , computer science , neuroscience

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