Impact of automated ICA-based denoising of fMRI data in acute stroke patients

Different strategies have been developed using Independent Component Analysis (ICA) to automatically de-noise fMRI data, either focusing on removing only certain components (e.g. motion-ICA-AROMA, Pruim et al., 2015a) or using more complex classifiers to remove multiple types of noise components (e....

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Detalles Bibliográficos
Autores principales: Carone, D., Licenik, R., Suri, S., Griffanti, L., Filippini, N., Kennedy, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508492/
https://www.ncbi.nlm.nih.gov/pubmed/28736698
http://dx.doi.org/10.1016/j.nicl.2017.06.033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508492/
https://www.ncbi.nlm.nih.gov/pubmed/28736698
http://dx.doi.org/10.1016/j.nicl.2017.06.033

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