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Dynamic Retrospective Filtering of Physiological Noise in BOLD fMRI: DRIFTER
In this article we introduce the DRIFTER algorithm, which is a new model based Bayesian method for retrospective elimination of physiological noise from functional magnetic resonance imaging (fMRI) data. In the method, we first estimate the frequency trajectories of the physiological signals with th...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3303954/ https://ncbi.nlm.nih.gov/pubmed/22281675 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2012.01.067 |
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