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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Detalles Bibliográficos
Autores principales: Bhaumik, Dulal K., Wang, Yue, Yen, Pei-Shan, Ajilore, Olusola A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroimaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406277/
https://www.ncbi.nlm.nih.gov/pubmed/37554638
http://dx.doi.org/10.3389/fnimg.2023.1147508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406277/
https://www.ncbi.nlm.nih.gov/pubmed/37554638
http://dx.doi.org/10.3389/fnimg.2023.1147508

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