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IC‐P‐073: OPTIMIZING THE SELECTION OF CORTICAL THICKNESS REGIONS TO PREDICT MCI PROGRESSION TO AD DEMENTIA: APPLICATION TO ROSAS AND ADNI
Author(s) -
Soret Perrine,
Bracoud Luc,
Xuereb Laura,
Bonneville Fabrice,
Schaerer Joel,
Scott David,
Suhy Joyce,
Vellas Bruno,
Merdes Annette
Publication year - 2019
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.2019.06.4916
Subject(s) - dementia , lasso (programming language) , biomarker , medicine , neurology , observational study , psychology , metric (unit) , nuclear medicine , oncology , disease , neuroscience , computer science , biology , biochemistry , operations management , world wide web , economics
IC-P-073 OPTIMIZING THE SELECTION OF CORTICALTHICKNESS REGIONS TO PREDICT MCI PROGRESSION TO AD DEMENTIA: APPLICATION TO ROSAS AND ADNI Perrine Soret, Luc Bracoud, Laura Xuereb, Fabrice Bonneville, Joel Schaerer, David Scott, Joyce Suhy, Bruno Vellas, Annette Merdes the Alzheimer’s Disease Neuroimaging Initiative, Servier, Suresnes, France; Bioclinica, Inc., Lyon, France; CHU Toulouse, Toulouse, France; Bioclinica, Inc., Newark, CA, USA. Contact e-mail: Luc.Bracoud@ bioclinica.com