Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns
Male
Aging
Atrophy / pathology*
Biological Psychology
610
Neurodegenerative
Alzheimer's Disease
Article
03 medical and health sciences
0302 clinical medicine
Alzheimer Disease
616
Acquired Cognitive Impairment
Psychology
2.1 Biological and endogenous factors
Humans
Alzheimer Disease / pathology*
Atrophy / diagnostic imaging
Aged
Cerebral Cortex
Alzheimer Disease / classification*
Cerebral Cortex / pathology*
Neurosciences
Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)
Alzheimer’s Disease Neuroimaging Initiative
Middle Aged
Magnetic Resonance Imaging
Brain Disorders
4.1 Discovery and preclinical testing of markers and technologies
Cerebral Cortex / diagnostic imaging
Neurological
Dementia
Female
Atrophy
Alzheimer Disease / diagnostic imaging
DOI:
10.1038/srep43270
Publication Date:
2017-03-09T12:32:24Z
AUTHORS (292)
ABSTRACT
AbstractAccumulating 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.
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CITATIONS (65)
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