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Asymmetric generalizability of multimodal brain‐behavior associations across age‐groups
Machine learning methods have increasingly been used to map out brain‐behavior associations (BBA), and to predict out‐of‐scanner behavior of unseen subjects. Given the brain changes that occur in the context of aging, the accuracy of these predictions is likely to depend on how similar the training...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley & Sons, Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704787/ https://www.ncbi.nlm.nih.gov/pubmed/35906870 http://dx.doi.org/10.1002/hbm.26035 |