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Denoising task‐related fMRI: Balancing noise reduction against signal loss
Preprocessing fMRI data requires striking a fine balance between conserving signals of interest and removing noise. Typical steps of preprocessing include motion correction, slice timing correction, spatial smoothing, and high‐pass filtering. However, these standard steps do not remove many sources...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619396/ https://www.ncbi.nlm.nih.gov/pubmed/37753711 http://dx.doi.org/10.1002/hbm.26447 |