ArticleJournal of clinical and experimental neuropsychology2011
Predicting conversion from mild cognitive impairment to Alzheimer's disease using neuropsychological tests and multivariate methods.
Article in Journal of clinical and experimental neuropsychology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Transcranial Magnetic Stimulation to Address Mild Cognitive Impairment in the Elderly: A Randomized Controlled Study.Behavioural neurology · 2015Trial
- Impact of respiratory sarcopenia on attention function in community-dwelling older adults: a preliminary cross-sectional study.Journal of physical therapy science · 2026Article
- Neurocognitive correlates of cerebral mitochondrial function and energy metabolism using phosphorus magnetic resonance spectroscopy in older adults.GeroScience · 2025Article
- Rethinking neuropsychological test validity in dementia assessment: a critical review in the age of neuroimaging and digital markers.Frontiers in human neuroscience · 2025Review
- Research status of visuospatial dysfunction and spatial navigation.Frontiers in aging neuroscience · 2025Review
- Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Gender-specific factors associated with the Japanese version of the trail making test among Japanese workers.Journal of physical therapy science · 2023Article
- Serotonin Degeneration and Amyloid-β Deposition in Mild Cognitive Impairment: Relationship to Cognitive Deficits.Journal of Alzheimer's disease : JAD · 2023Article
- Executive function deficits and medial temporal lobe atrophy in late-life depression and Alzheimer's disease: a comparative study.Frontiers in psychiatry · 2023Article
- Research progress on vestibular dysfunction and visual-spatial cognition in patients with Alzheimer's disease.Frontiers in aging neuroscience · 2023Review
- Harnessing forgetfulness: can episodic-memory tests predict early Alzheimer's disease?Experimental brain research · 2021Article
- Reaction time and response inhibition in autosomal dominant Alzheimer's disease.Brain and cognition · 2021Article
- Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease.NeuroImage. Clinical · 2020Article
- Prevalence, Incidence, Influence Factors, and Cognitive Characteristics of Amnestic Mild Cognitive Impairment Among Older Adult: A 1-Year Follow-Up Study in China.Frontiers in psychiatry · 2020Article
- Characteristics of Mild Cognitive Impairment in Northern Japanese Community-Dwellers from the ORANGE Registry.Journal of clinical medicine · 2019Article
- A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.Expert systems with applications · 2019Article
- Accelerated Ovarian Failure as a Unique Model to Study Peri-Menopause Influence on Alzheimer's Disease.Frontiers in aging neuroscience · 2019Article
- Can visuospatial measures improve the diagnosis of Alzheimer's disease?Alzheimer's & dementia (Amsterdam, Netherlands) · 2018Review
- Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows.BMC medical informatics and decision making · 2017Article
- Prediction of Conversion to Alzheimer's Disease with Longitudinal Measures and Time-To-Event Data.Journal of Alzheimer's disease : JAD · 2017Article
Corrections and comments
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9 authors.
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Abstract
Behavioral markers measured through neuropsychological testing in mild cognitive impairment (MCI) were analyzed and combined in multivariate ways to predict conversion to Alzheimer's disease (AD) in a longitudinal study of 43 MCI patients. The test measures taken at a baseline evaluation were first reduced to underlying components (principal component analysis, PCA), and then the component scores were used in discriminant analysis to classify MCI individuals as likely to convert or not. When empirically weighted and combined, episodic memory, speeded executive functioning, recognition memory (false and true positives), visuospatial memory processing speed, and visuospatial episodic memory were together strong predictors of conversion to AD. These multivariate combinations of the test measures achieved through the PCA were good, statistically significant predictors of MCI conversion to AD (84% accuracy, 86% sensitivity, and 83% specificity). Importantly, the posterior probabilities of group membership that accompanied the binary prediction for each participant indicated the confidence of the prediction. Most of the participants (81%) were in the highly confident probability bins (.70-1.00), where the obtained prediction accuracy was more than 90%. The strength and reliability of this multivariate prediction method were tested by cross-validation and randomized resampling.
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Registered trials
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