Unsupervised physiological noise correction of functional magnetic resonance imaging data using phase and magnitude information (PREPAIR)

Of the sources of noise affecting blood oxygen level‐dependent functional magnetic resonance imaging (fMRI), respiration and cardiac fluctuations are responsible for the largest part of the variance, particularly at high and ultrahigh field. Existing approaches to removing physiological noise either...

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Detalles Bibliográficos
Autores principales: Bancelin, David, Bachrata, Beata, Bollmann, Saskia, de Lima Cardoso, Pedro, Szomolanyi, Pavol, Trattnig, Siegfried, Robinson, Simon Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875918/
https://www.ncbi.nlm.nih.gov/pubmed/36401844
http://dx.doi.org/10.1002/hbm.26152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875918/
https://www.ncbi.nlm.nih.gov/pubmed/36401844
http://dx.doi.org/10.1002/hbm.26152

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