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...

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Bibliographic Details
Main Authors: Dulal K. Bhaumik, Yue Wang, Pei-Shan Yen, Olusola A. Ajilore
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Neuroimaging
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnimg.2023.1147508/full