Trial reportAJNR. American journal of neuroradiology2013
Individual classification of mild cognitive impairment subtypes by support vector machine analysis of white matter DTI.
Trial report in AJNR. American journal of neuroradiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer's Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges.Sensors (Basel, Switzerland) · 2026Pooled it
- Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.Neuroinformatics · 2021Pooled it
- How artificial intelligence is shaping neuropsychology: A focus on cognitive assessment of neurodegenerative disorders.Journal of neuropsychology · 2026Review
- Review
- Classification of Huntington's Disease Stage with Features Derived from Structural and Diffusion-Weighted Imaging.Journal of personalized medicine · 2022Article
- An update on magnetic resonance imaging markers in AD.Therapeutic advances in neurological disorders · 2020Review
- Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification.Human brain mapping · 2019Article
- Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification ofFrontiers in computational neuroscience · 2019Article
- Visual Attention Performances and Related Cerebral Microstructural Integrity Among Subjects With Subjective Cognitive Decline and Mild Cognitive Impairment.Frontiers in aging neuroscience · 2018Article
- Multiparametric computer-aided differential diagnosis of Alzheimer's disease and frontotemporal dementia using structural and advanced MRI.European radiology · 2017Article
- Habitual sleep durations and subjective sleep quality predict white matter differences in the human brain.Neurobiology of sleep and circadian rhythms · 2017Article
- Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.NeuroImage · 2017Review
- Article
- Neuropsychological and neuroimaging characteristics of amnestic mild cognitive impairment subtypes: a selective overview.CNS neuroscience & therapeutics · 2015Review
- State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.Neuroradiology · 2015Review
- Classification of symptom-side predominance in idiopathic Parkinson's disease.NPJ Parkinson's disease · 2015Article
- Automated Classification to Predict the Progression of Alzheimer's Disease Using Whole-Brain Volumetry and DTI.Psychiatry investigation · 2015Article
- Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification.Brain structure & function · 2014Article
- Cognitive Impairment Assessment through Visuospatial Memory Can Be Performed with a Modified Walking Corsi Test Using the 'Magic Carpet'.Dementia and geriatric cognitive disorders extra · 2014Article
- Neuroimaging of dementia in 2013: what radiologists need to know.European radiology · 2013Review
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeMCI was recently subdivided into sd-aMCI, sd-fMCI, and md-aMCI. The current investigation aimed to discriminate between MCI subtypes by using DTI. MATERIALS AND
methodsSixty-six prospective participants were included: 18 with sd-aMCI, 13 with sd-fMCI, and 35 with md-aMCI. Statistics included group comparisons using TBSS and individual classification using SVMs.
resultsThe group-level analysis revealed a decrease in FA in md-aMCI versus sd-aMCI in an extensive bilateral, right-dominant network, and a more pronounced reduction of FA in md-aMCI compared with sd-fMCI in right inferior fronto-occipital fasciculus and inferior longitudinal fasciculus. The comparison between sd-fMCI and sd-aMCI, as well as the analysis of the other diffusion parameters, yielded no significant group differences. The individual-level SVM analysis provided discrimination between the MCI subtypes with accuracies around 97%. The major limitation is the relatively small number of cases of MCI.
conclusionsOur data show that, at the group level, the md-aMCI subgroup has the most pronounced damage in white matter integrity. Individually, SVM analysis of white matter FA provided highly accurate classification of MCI subtypes.
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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.