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Spatial and temporal reproducibility-based ranking of the independent components of BOLD fMRI data
Independent component analysis (ICA) decomposes fMRI data into spatially independent maps and their corresponding time courses. However, distinguishing the neurobiologically and biophysically reasonable components from those representing noise and artifacts is not trivial. We present a simple method...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2009
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2746867/ https://ncbi.nlm.nih.gov/pubmed/19286465 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2009.02.048 |
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