ArticleBrain sciences2021
Multiple Subtypes of Alzheimer's Disease Base on Brain Atrophy Pattern.
Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with N = 3,118.Neuroscience bulletin · 2024Pooled it
- Mapping heterogeneous brain structural subtypes in alzheimer's disease and mild cognitive impairment using normative models.Translational psychiatry · 2026Article
- Alzheimer's disease prediction algorithm based on hippocampal longitudinal hybrid morphological features.Quantitative imaging in medicine and surgery · 2026Article
- A collaborative multi-view fusion framework with Deep Forest for multi-class diagnosis of Alzheimer's disease.Frontiers in aging neuroscience · 2026Article
- Deep learning for Alzheimer's disease: advances in classification, segmentation, subtyping, and explainability.Biomedical engineering online · 2025Review
- Sex-specific brain atrophy patterns associated with the motoric cognitive risk syndrome.Journal of Alzheimer's disease : JAD · 2025Article
- Bioactive compound nanoparticles for Alzheimer's disease.Inflammopharmacology · 2025Review
- Clinical outcome-guided deep temporal clustering for disease progression subtyping.Journal of biomedical informatics · 2024Article
- Altered functional connectivity of primary olfactory cortex-hippocampus-frontal cortex in subjective cognitive decline during odor stimulation.Human brain mapping · 2024Article
- Cognitively defined Alzheimer's dementia subgroups have distinct atrophy patterns.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Multimodal subtypes identified in Alzheimer's Disease Neuroimaging Initiative participants by missing-data-enabled subtype and stage inference.Brain communications · 2024Article
- How Many Alzheimer-Perusini's Atypical Forms Do We Still Have to Discover?Biomedicines · 2023Review
- Cognitive differences across ethnoracial category, socioeconomic status across the Alzheimer's disease spectrum: Can an ability discrepancy score level the playing field?Memory & cognition · 2023Article
- A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification.Sensors (Basel, Switzerland) · 2023Article
- Effects of Patchwise Sampling Strategy to Three-Dimensional Convolutional Neural Network-Based Alzheimer's Disease Classification.Brain sciences · 2023Article
- A systematic analysis of diagnostic performance for Alzheimer's disease using structural MRI.Psychoradiology · 2022Article
- Concordance of Alzheimer's Disease Subtypes Produced from Different Representative Morphological Measures: A Comparative Study.Brain sciences · 2022Article
- Recent update on the heterogeneity of the Alzheimer's disease spectrum.Journal of neural transmission (Vienna, Austria : 1996) · 2022Review
- Quantification of Brain β-Amyloid Load in Parkinson's Disease With Mild Cognitive Impairment: A PET/MRI Study.Frontiers in neurology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
Alzheimer's disease (AD) is a disease of a heterogeneous nature, which can be disentangled by exploring the characteristics of each AD subtype in the brain structure, neuropathology, and cognition. In this study, a total of 192 AD and 228 cognitively normal (CN) subjects were obtained from the Alzheimer's disease Neuroimaging Initiative database. Based on the cortical thickness patterns, the mixture of experts method (MOE) was applied to the implicit model spectrum of transforms lined with each AD subtype, then their neuropsychological and neuropathological characteristics were analyzed. Furthermore, the piecewise linear classifiers composed of each AD subtype and CN were resolved, and each subtype was comprehensively explained. The following four distinct AD subtypes were discovered: bilateral parietal, frontal, and temporal atrophy AD subtype (occipital sparing AD subtype (OSAD), 29.2%), left temporal dominant atrophy AD subtype (LTAD, 22.4%), minimal atrophy AD subtype (MAD, 16.1%), and diffuse atrophy AD subtype (DAD, 32.3%). These four subtypes display their own characteristics in atrophy pattern, cognition, and neuropathology. Compared with the previous studies, our study found that some AD subjects showed obvious asymmetrical atrophy in left lateral temporal-parietal cortex, OSAD presented the worst cerebrospinal fluid levels, and MAD had the highest proportions of APOE ε4 and APOE ε2. The subtype characteristics were further revealed from the aspect of the model, making it easier for clinicians to understand. The results offer an effective support for individual diagnosis and prognosis.
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