ArticleScientific reports2022
Predicting conversion to Alzheimer's disease in individuals with Mild Cognitive Impairment using clinically transferable features.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- APOE ε4 Allele Dose and Time to Clinical Conversion from Mild Cognitive Impairment to Alzheimer's Disease Dementia: An ADNI Survival Analysis.Biomedicines · 2026Article
- Deep survival modeling to predict future cognitive impairment in unimpaired adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Plasma and neurostructural biomarkers in the clinical-biological characterization of early stages of the Alzheimer's disease continuum: findings from the Compostela Aging Study.The journal of prevention of Alzheimer's disease · 2026Article
- Precision neuropsychology in the area of AI.Frontiers in psychology · 2025Article
- Article
- Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians.Alzheimer's research & therapy · 2024Review
- Choroid plexus volumes and auditory verbal learning scores are associated with conversion from mild cognitive impairment to Alzheimer's disease.Brain and behavior · 2024Article
- Disintegration at the Syntax-Semantics Interface in Prodromal Alzheimer's Disease: New Evidence from Complex Sentence Anaphora in Amnestic Mild Cognitive Impairment (aMCI).Journal of neurolinguistics · 2024Article
- Electroencephalography-based classification of Alzheimer's disease spectrum during computer-based cognitive testing.Scientific reports · 2024Article
- A Two-Year Observational Study to Evaluate Conversion Rates from High- and Low-Risk Patients with Amnestic Mild Cognitive Impairment to Probable Alzheimer's Disease in a Real-World Setting.Journal of Alzheimer's disease reports · 2024Article
- Oxidative Stress-Induced Neurodegeneration and Antioxidative Strategies: Current Stage and Future Perspectives.Antioxidants (Basel, Switzerland) · 2023Article
- Functional activity level reported by an informant is an early predictor of Alzheimer's disease.BMC geriatrics · 2023Article
- Predictive power of gait and gait-related cognitive measures in amnestic mild cognitive impairment: a machine learning analysis.Frontiers in human neuroscience · 2023Article
- Brain health in older adults: At the crossroads of frailty and resilience.Journal of Alzheimer's disease reportsReview
- Utilizing Reduced Labeled Proton Clearance to Identify Preclinical Alzheimer Disease with 3D ASL MRI.Case reports in neurologyArticle
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Authors and funding
5 authors.
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Abstract
Patients with Mild Cognitive Impairment (MCI) have an increased risk of Alzheimer's disease (AD). Early identification of underlying neurodegenerative processes is essential to provide treatment before the disease is well established in the brain. Here we used longitudinal data from the ADNI database to investigate prediction of a trajectory towards AD in a group of patients defined as MCI at a baseline examination. One group remained stable over time (sMCI, n = 357) and one converted to AD (cAD, n = 321). By running two independent classification methods within a machine learning framework, with cognitive function, hippocampal volume and genetic APOE status as features, we obtained a cross-validation classification accuracy of about 70%. This level of accuracy was confirmed across different classification methods and validation procedures. Moreover, the sets of misclassified subjects had a large overlap between the two models. Impaired memory function was consistently found to be one of the core symptoms of MCI patients on a trajectory towards AD. The prediction above chance level shown in the present study should inspire further work to develop tools that can aid clinicians in making prognostic decisions.
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