ArticleScientific reports2021
Cognitive and MRI trajectories for prediction of Alzheimer's disease.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Neuropsychological Diagnostic Tools in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis.Aging and disease · 2025Pooled it
- Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer's disease dementia: a systematic review.Alzheimer's research & therapy · 2021Pooled it
- Trial
- Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning.GeroScience · 2026Article
- Cognitive Assessment in Adults With Adrenal Cortisol Insufficiency: Challenges and Opportunities.Endocrine reviews · 2026Review
- Brain age as an accurate biomarker of preclinical cognitive decline: evidence from a 12-year longitudinal study.Journal of neurology · 2025Article
- Multiomic Evidence for a Unified Model of Alzheimer's Disease Etiology Linking Microglial Flux Capacity and Astrocyte-Neuron Metabolic Breakdown.bioRxiv : the preprint server for biology · 2025Article
- SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation.Patterns (New York, N.Y.) · 2025Article
- Quality of Life in Mild Cognitive Impairment and Mild Dementia Associated with Alzheimer's Disease: A Systematic Review.Neurology and therapy · 2025Review
- The Association between the rs6656401 Locus of the CR1 Gene and Structural Alterations of Brain Effects in Han Chinese Patients with Alzheimer's Disease.Current Alzheimer research · 2025Article
- Structural and microstructural changes in white and gray matter across the Alzheimer's disease continuum.Frontiers in aging neuroscience · 2025Review
- Alzheimer's disease recognition via long-range state space model using multi-modal brain images.Frontiers in neuroscience · 2025Article
- Article
- Association Between Cognitive Trajectories and Subsequent Health Status, Depressive Symptoms, and Mortality Among Older Adults in the United States: Findings From a Nationally Representative Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians.Alzheimer's research & therapy · 2024Review
- Peripheral inflammation is associated with brain atrophy and cognitive decline linked to mild cognitive impairment and Alzheimer's disease.Scientific reports · 2024Article
- Choroid plexus volumes and auditory verbal learning scores are associated with conversion from mild cognitive impairment to Alzheimer's disease.Brain and behavior · 2024Article
- Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer's disease in patients with mild cognitive symptoms.Alzheimer's research & therapy · 2024Article
- Inhibition of miR-4763-3p expression activates the PI3K/mTOR/Bcl2 autophagy signaling pathway to ameliorate cognitive decline.International journal of biological sciences · 2024Article
- A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment.PeerJ · 2024Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
The concept of Mild Cognitive Impairment (MCI) is used to describe the early stages of Alzheimer's disease (AD), and identification and treatment before further decline is an important clinical task. We selected longitudinal data from the ADNI database to investigate how well normal function (HC, n= 134) vs. conversion to MCI (cMCI, n= 134) and stable MCI (sMCI, n=333) vs. conversion to AD (cAD, n= 333) could be predicted from cognitive tests, and whether the predictions improve by adding information from magnetic resonance imaging (MRI) examinations. Features representing trajectories of change in the selected cognitive and MRI measures were derived from mixed effects models and used to train ensemble machine learning models to classify the pairs of subgroups based on a subset of the data set. Evaluation in an independent test set showed that the predictions for HC vs. cMCI improved substantially when MRI features were added, with an increase in [Formula: see text]-score from 60 to 77%. The [Formula: see text]-scores for sMCI vs. cAD were 77% without and 78% with inclusion of MRI features. The results are in-line with findings showing that cognitive changes tend to manifest themselves several years after the Alzheimer's disease is well-established in the brain.
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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.