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...

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Detalles Bibliográficos
Autores principales: Hoeppli, M. E., Garenfeld, M. A., Mortensen, C. K., Nahman‐Averbuch, H., King, C. D., Coghill, R. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Research Articles
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

Internet

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

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