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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |