Prediction of Alzheimer's disease pathophysiology based on cortical thickness patterns
Abstract
Recent studies have shown that pathologically defined subtypes of Alzheimer's disease (AD) represent distinctive atrophy patterns and clinical characteristics. We investigated whether a cortical thickness–based clustering method can reflect such findings.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 28, 2015
- Source ID
- 10.1016/j.dadm.2015.11.008
Entities
People
- Chan Mi Kim
- Duk L. Na
- Jae‐hong Lee
- Jae‐young Koh
- Jee Hoon Roh
- Jihye Hwang
- Jong Min Lee
- Seun Jeon
- The Alzheimer’s Disease Neuroimaging Initiative*
- Yun Jeong Hong
Organizations
- Asan Medical Center
- BioClinica
- Biogen
- Canadian Institutes of Health Research
- Chiron Corporation
- Eisai
- Eli Lilly and Company
- GE HealthCare
- Hanyang University
- Laboratoires Servier
- Medpace
- Merck & Co.
- Ministry of Science, ICT and Future Planning
- Ministry of Trade, Industry and Energy
- National Institute of Biomedical Imaging and Bioengineering
- National Institute on Aging
- National Institutes of Health
- Norman Cousins Center for Psychoneuroimmunology
- Northern California Institute for Research and Education
- Pfizer
- Roche (United States)
- Samsung Medical Center
- Sungkyunkwan University
- Takeda Pharmaceutical Company
- United States Department of Defense
- University of Ulsan
- University of Ulsan College of Medicine