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Potential pitfalls when denoising resting state fMRI data using nuisance regression
In resting state fMRI, it is necessary to remove signal variance associated with noise sources, leaving cleaned fMRI time-series that more accurately reflect the underlying intrinsic brain fluctuations of interest. This is commonly achieved through nuisance regression, in which the fit is calculated...
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| Gepubliceerd in: | Neuroimage |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Academic Press
2017
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5489212/ https://ncbi.nlm.nih.gov/pubmed/28025128 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.12.027 |
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