Journal article
Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns
Scientific reports, Vol.7(1), pp.43270-43270
03/09/2017
DOI: 10.1038/srep43270
PMCID: PMC5343676
PMID: 28276464
Abstract
Accumulating evidence suggests that Alzheimer's disease (AD) is heterogenous and can be classified into several subtypes. Here, we propose a robust subtyping method for AD based on cortical atrophy patterns and graph theory. We calculated similarities between subjects in their atrophy patterns throughout the whole brain, and clustered subjects with similar atrophy patterns using the Louvain method for modular organization extraction. We applied our method to AD patients recruited at Samsung Medical Center and externally validated our method by using the AD Neuroimaging Initiative (ADNI) dataset. Our method categorized very mild AD into three clinically distinct subtypes with high reproducibility (>90%); the parietal-predominant (P), medial temporal-predominant (MT), and diffuse (D) atrophy subtype. The P subtype showed the worst clinical presentation throughout the cognitive domains, while the MT and D subtypes exhibited relatively mild presentation. The MT subtype revealed more impaired language and executive function compared to the D subtype.
Details
- Title: Subtitle
- Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns
- Creators
- Jong-Yun Park - School of Biomedical Engineering, Korea University, Seoul, Republic of KoreaHan Kyu Na - Yonsei University College of Medicine, Seoul, Republic of KoreaSungsoo Kim - Yonsei University College of Medicine, Seoul, Republic of KoreaHyunwook Kim - Yonsei University College of Medicine, Seoul, Republic of KoreaHee Jin Kim - Department of Neurology, Samsung Medical Center, Seoul, Republic of KoreaSang Won Seo - Department of Neurology, Samsung Medical Center, Seoul, Republic of KoreaDuk L Na - Department of Neurology, Samsung Medical Center, Seoul, Republic of KoreaCheol E Han - Department of Electronics and Information Engineering, Korea University, Sejong, Republic of KoreaJoon-Kyung Seong - School of Biomedical Engineering, Korea University, Seoul, Republic of KoreaAlzheimer’s Disease Neuroimaging Initiative
- Contributors
- Laura L Boles-Ponto (Contributor) - University of Iowa, Radiology
- Resource Type
- Journal article
- Publication Details
- Scientific reports, Vol.7(1), pp.43270-43270
- DOI
- 10.1038/srep43270
- PMID
- 28276464
- PMCID
- PMC5343676
- NLM abbreviation
- Sci Rep
- ISSN
- 2045-2322
- eISSN
- 2045-2322
- Publisher
- England
- Grant note
- P50 AG005142 / NIA NIH HHS P30 AG010129 / NIA NIH HHS P41 EB015922 / NIBIB NIH HHS CIHR U01 AG024904 / NIA NIH HHS
- Language
- English
- Date published
- 03/09/2017
- Academic Unit
- Radiology; Pharmaceutical Sciences and Experimental Therapeutics
- Record Identifier
- 9984051763002771
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