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Improving the use of principal component analysis to reduce physiological noise and motion artifacts to increase the sensitivity of task-based fMRI
BACKGROUND: Functional magnetic resonance imaging (fMRI) time series are subject to corruption by many noise sources, especially physiological noise and motion. Researchers have developed many methods to reduce physiological noise, including RETROICOR, which retroactively removes cardiac and respira...
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| Publicado no: | J Neurosci Methods |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4832429/ https://ncbi.nlm.nih.gov/pubmed/25481542 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2014.11.015 |
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