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A Nonlinear Simulation Framework Supports Adjusting for Age When Analyzing BrainAGE
Several imaging modalities, including T1-weighted structural imaging, diffusion tensor imaging, and functional MRI can show chronological age related changes. Employing machine learning algorithms, an individual's imaging data can predict their age with reasonable accuracy. While details vary a...
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| Udgivet i: | Front Aging Neurosci |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Frontiers Media S.A.
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6208001/ https://ncbi.nlm.nih.gov/pubmed/30405393 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2018.00317 |
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