Development of a Bayesian multimodal model to detect biomarkers in neuroimaging studies
In this article, we developed a Bayesian multimodal model to detect biomarkers (or neuromarkers) using resting-state functional and structural data while comparing a late-life depression group with a healthy control group. Biomarker detection helps determine a target for treatment intervention to ge...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-05-01
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Series: | Frontiers in Neuroimaging |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnimg.2023.1147508/full |