Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns

Jong Yun Park, Han Kyu Na, Sungsoo Kim, Hyunwook Kim, Hee Jin Kim, Sang Won Seo, Duk L. Na, Cheol E. Han, Jun Kyung Seong

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31 Citations (Scopus)

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.

Original languageEnglish
Article number43270
JournalScientific Reports
Volume7
DOIs
Publication statusPublished - 2017 Mar 9

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ASJC Scopus subject areas

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Cite this

Park, J. Y., Na, H. K., Kim, S., Kim, H., Kim, H. J., Seo, S. W., Na, D. L., Han, C. E., & Seong, J. K. (2017). Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns. Scientific Reports, 7, [43270]. https://doi.org/10.1038/srep43270