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Applying Machine-Learning and Deep-Learning to Predict Depression from Brain MRI and Identify Depression-Related Brain Biology

2025-02-20

Abstract excerpt

The accuracy of grey-matter predictors of depression has remained limited. In this study, brain-based predictors of major depressive disorder (MDD) were trained using machine-learning (Best Linear Unbiased Predictors [BLUP]) and deep-learning (ResNet3D) techniques applied to high-dimensional (voxel-wise) grey-matter structure extracted from T1-weighted structural MRI. The training sample comprised 987 MDD cases an...

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Literature Corpus work
4fd316a0-9ef3-5bb4-8dd5-a1af3274d632
DOI
10.1101/2025.02.14.25322326
Open publication

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Applying Machine-Learning and Deep-Learning to Predict Depression from Brain MRI and Identify Depression-Related Brain BiologyDOI 10.1101/2025.02.14.25322326
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