Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment
Open accessAbstract
Few studies have looked at the potential of using diffusion tensor imaging (DTI) in conjunction with machine learning algorithms in order to automate the classification of healthy older subjects and subjects with mild cognitive impairment (MCI). Here we apply DTI to 40 healthy older subjects and 33 MCI subjects in order to derive values for multiple indices of diffusion within the white matter voxels of each subject. DTI measures were then used together with support vector machines (SVMs) to classify control and MCI subjects. Greater than 90% sensitivity and specificity was achieved using this method, demonstrating the potential of a joint DTI and SVM pipeline for fast, objective classification of healthy older and MCI subjects. Such tools may be useful for large scale drug trials in Alzheimer's disease where the early identification of subjects with MCI is critical.
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An increase in axial diffusivity was observed, albeit in a spatially more restricted manner when compared to that of the other DTI indices.
“Consistent with previous studies in mild cognitive impairment (O’Dwyer et al., 2012) and Alzheimer’s disease dementia (Acosta-Cabronero et al., 2010, 2012; Bosch et al., 2012), we observed an increase in axial diffusivity, albeit in a spatially more restricted manner when compared to that of the other DTI indices.”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as O’Dwyer et al., 2012
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“Consistent with previous studies in mild cognitive impairment (O’Dwyer et al., 2012) and Alzheimer’s disease dementia (Acosta-Cabronero et al.”
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- Authors
- O'Dwyer, L., Lamberton, F., Bokde, A. L. W., Ewers, M., Faluyi, Y. O., Tanner, C., Mazoyer, B., O'Neill, D., Bartley, M., Collins, D. R., Coughlan, T., Prvulovic, D., & Hampel, H.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Trinity College Dublin (IE)
- San Francisco VA Medical Center (US)
- Cambridgeshire and Peterborough NHS Foundation Trust (GB)
- Goethe University Frankfurt (DE)
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-02-23
- Volume
- 7
- Issue
- 2
- Pages
- e32441
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3285682
- OpenAlex
- W1968126294
- Cited by
- 117
- References
- 57
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 6 · 2022: 21 · 2021: 6 · 2020: 8 · 2019: 4 · 2018: 6 · 2017: 12 · 2016: 10 · 2015: 10 · 2014: 13 · 2013: 12 · 2012: 6
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) (submittedVersion, cc-by)
- Radboud Repository (Radboud University) (submittedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Funders
- Irish Research Council for Science, Engineering and Technology
- Science Foundation Ireland (08/IN.1/B1846)
- Irish Research Council
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- mild cognitive impairment, diffusion tensor imaging, support vector machine, automatic classification, white matter, diffusion indices, older adults, Alzheimer's disease, drug trials, early detection
- MeSH terms
- Aged, Algorithms, Alzheimer Disease, Automation, Cognition Disorders, Diagnosis, Computer-Assisted, Diffusion, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Diffusion Tensor Imaging, Support Vector Machine, Cognitive Dysfunction
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