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
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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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