ArticleComputational and structural biotechnology journal2022
Identification of mild cognitive impairment subtypes predicting conversion to Alzheimer's disease using multimodal data.
Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Motor Learning in Older Adults with Mild Cognitive Impairment: A Systematic Review.Neuropsychology review · 2026Pooled it
- Deep learning for Alzheimer's disease: advances in classification, segmentation, subtyping, and explainability.Biomedical engineering online · 2025Review
- Multidomain therapy for Alzheimer's disease: a scoping review of cognitive decline trials.Molecular neurodegeneration · 2025Article
- Integrating imaging and omics for enhanced subtyping of mild cognitive impairment associated with Alzheimer's disease.Journal of translational medicine · 2025Article
- A new ANMerge-based blood transcriptomic resource to support Alzheimer's disease research.medRxiv : the preprint server for health sciences · 2025Article
- Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery.... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision · 2025Article
- From Better Diagnostics to Earlier Treatment: The Rapidly Evolving Alzheimer's Disease Landscape.Medicina (Kaunas, Lithuania) · 2025Review
- Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network.Alzheimer's research & therapy · 2025Article
- Predicting progression from amnestic mild cognitive impairment to Alzheimer's disease using longitudinal EEG data: a 12-month cohort study.Frontiers in aging neuroscience · 2025Article
- Dysglycemia, gender, and cognitive performance in older persons living with mild cognitive impairment: findings from a cross-sectional, population-based study.Aging clinical and experimental research · 2024Article
- Polygenic effects on the risk of Alzheimer's disease in the Japanese population.Alzheimer's research & therapy · 2024Article
- Associations between concussion and more severe TBIs, mild cognitive impairment, and early-onset dementia among military retirees over 40 years.Frontiers in neurology · 2024Article
Corrections and comments
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Authors and funding
16 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mild cognitive impairment (MCI) is a high-risk condition for conversion to Alzheimer's disease (AD) dementia. However, individuals with MCI show heterogeneous patterns of pathology and conversion to AD dementia. Thus, detailed subtyping of MCI subjects and accurate prediction of the patients in whom MCI will convert to AD dementia is critical for identifying at-risk populations and the underlying biological features. To this end, we developed a model that simultaneously subtypes MCI subjects and predicts conversion to AD and performed an analysis of the underlying biological characteristics of each subtype. In particular, a heterogeneous mixture learning (HML) method was used to build a decision tree-based model based on multimodal data, including cerebrospinal fluid (CSF) biomarker data, structural magnetic resonance imaging (MRI) data,
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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.