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

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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Bibliographische Detailangaben
Hauptverfasser:	Carone, D, Licenik, R, Suri, S, Griffanti, L, Filippini, N, Kennedy, J
Format:	Journal article
Sprache:	English
Veröffentlicht:	Elsevier 2017

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