Article

Predicting phenotypes of elderly from resting state fMRI

2023-08-07

Abstract excerpt

Machine learning techniques are increasingly embraced in neuroimaging studies of healthy and diseased human brains. They have been used successfully in predicting phenotypes, or even clinical outcomes, and in turning functional connectome metrics into phenotype biomarkers of both healthy individuals and patients. In this study, we used functional connectivity characteristics based on resting state functional magne...

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Literature Corpus work: c7640823-d78d-5000-82af-a3defd99f035
DOI: 10.21203/rs.3.rs-3201603/v1

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