AUTHOR=Jeon Seun , Kang Jae Myeong , Seo Seongho , Jeong Hye Jin , Funck Thomas , Lee Sang-Yoon , Park Kee Hyung , Lee Yeong-Bae , Yeon Byeong Kil , Ido Tatsuo , Okamura Nobuyuki , Evans Alan C. , Na Duk L. , Noh Young TITLE=Topographical Heterogeneity of Alzheimer’s Disease Based on MR Imaging, Tau PET, and Amyloid PET JOURNAL=Frontiers in Aging Neuroscience VOLUME=11 YEAR=2019 URL=https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2019.00211 DOI=10.3389/fnagi.2019.00211 ISSN=1663-4365 ABSTRACT=
Alzheimer’s disease (AD) patients are known to have heterogeneous clinical presentation and pathologic patterns. We hypothesize that AD dementia can be categorized into subtypes based on multimodal imaging biomarkers such as magnetic resonance imaging (MRI), tau positron emission tomography (PET), and amyloid PET. We collected 3T MRI, 18F-THK5351 PET, and 18F-flutemetamol (FLUTE) PET data from 83 patients with AD dementia [Clinical Dementia Rating (CDR) ≤1] and 60 normal controls (NC), and applied surface-based analyses to measure cortical thickness, THK5351 standardized uptake value ratio (SUVR) and FLUTE SUVR for each participant. For the patient group, we performed an agglomerative hierarchical clustering analysis using the three multimodal imaging features on the vertices (