ArticleScientific reports2017
Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Macro-Micro structural integration for characterizing severity-related structural alterations in mild cognitive impairment.NeuroImage. Clinical · 2026Article
- Brain morphological characteristics predicting clinical response to selective serotonin reuptake inhibitors or cholinesterase inhibitors: A study of electronic medical records in patients with cognitive disorders.International psychogeriatrics · 2025Observational
- Magnetic Resonance Imaging and Cerebrospinal Fluid Biomarker Clustering Defines Biological Subtypes of Alzheimer's Disease.Biomedicines · 2025Article
- Dissecting real-world memory clinical cohort heterogeneity: analysis of neuroanatomical subtypes using HYDRA.Alzheimer's research & therapy · 2025Article
- Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network.Journal of healthcare informatics research · 2025Article
- Development of an ensemble prediction model for acute graft-versus-host disease in allogeneic transplantation based on machine learning.BMC medical informatics and decision making · 2025Article
- Multimodal and longitudinal characterization of distinct tau and atrophy clusters in Alzheimer's disease spectrum.Scientific reports · 2025Article
- Ramp Sequence May Explain Synonymous Variant Association with Alzheimer's Disease in the Paired Immunoglobulin-like Type 2 Receptor Alpha (PILRA).Biomedicines · 2025Article
- Ramp sequence may explain synonymous variant association with Alzheimer's disease in the Paired Immunoglobulin-like Type 2 Receptor Alpha (bioRxiv : the preprint server for biology · 2025Article
- Diverging Relationships among Amyloid, Tau, and Brain Atrophy in Early-Onset and Late-Onset Alzheimer's Disease.Yonsei medical journal · 2024Article
- A generalizable data-driven model of atrophy heterogeneity and progression in memory clinic settings.Brain : a journal of neurology · 2024Article
- Multi-pathological contributions toward atrophy patterns in the Alzheimer's disease continuum.Frontiers in neuroscience · 2024Article
- Clustering and disease subtyping in Neuroscience, toward better methodological adaptations.Frontiers in computational neuroscience · 2023Article
- Model-based stratification of progression along the Alzheimer disease continuum highlights the centrality of biomarker synergies.Alzheimer's research & therapy · 2022Article
- Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer's Disease.Brain sciences · 2022Review
- Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.Medical image analysis · 2022Article
- Recent update on the heterogeneity of the Alzheimer's disease spectrum.Journal of neural transmission (Vienna, Austria : 1996) · 2022Review
- Investigating Tissue-Specific Abnormalities in Alzheimer's Disease with Multi-Shell Diffusion MRI.Journal of Alzheimer's disease : JAD · 2022Article
- Large-scale plasma proteomic profiling identifies a high-performance biomarker panel for Alzheimer's disease screening and staging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.