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An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI
BOLD fMRI is sensitive to blood-oxygenation changes correlated with brain function; however, it is limited by relatively weak signal and significant noise confounds. Many preprocessing algorithms have been developed to control noise and improve signal detection in fMRI. Although the chosen set of pr...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498698/ https://www.ncbi.nlm.nih.gov/pubmed/26161667 http://dx.doi.org/10.1371/journal.pone.0131520 |