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Diagnosis and Prognosis Using Machine Learning Trained on Brain Morphometry and White Matter Connectomes

2018-01-30

Abstract excerpt

<h4>ABSTRACT</h4> Accurate, reliable prediction of risk for Alzheimer’s disease (AD) is essential for early, disease-modifying therapeutics. Multimodal MRI, such as structural and diffusion MRI, is likely to contain complementary information of neurodegenerative processes in AD. Here we tested the utility of commonly available multimodal MRI (T1-weighted structure and diffusion MRI), combined with high-throughput...

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Literature Corpus work
4328562d-589a-5f6b-8550-0d69b8d30d7f
DOI
10.1101/255141
Open publication

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Diagnosis and Prognosis Using Machine Learning Trained on Brain Morphometry and White Matter ConnectomesDOI 10.1101/255141
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