Logo image
Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns
Journal article   Open access   Peer reviewed

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, Joon-Kyung Seong and Alzheimer’s Disease Neuroimaging Initiative
Scientific reports, Vol.7(1), pp.43270-43270
03/09/2017
DOI: 10.1038/srep43270
PMCID: PMC5343676
PMID: 28276464
url
https://doi.org/10.1038/srep43270View
Published (Version of record) Open Access

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.
Magnetic Resonance Imaging Atrophy - diagnostic imaging Alzheimer Disease - classification Humans Middle Aged Atrophy - pathology Cerebral Cortex - pathology Male Cerebral Cortex - diagnostic imaging Alzheimer Disease - pathology Female Aged Alzheimer Disease - diagnostic imaging

Details

Logo image