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....
| Main Authors: | , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado: |
Elsevier
2017
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