Comparing the reliability of different ICA algorithms for fMRI analysis.
Independent component analysis (ICA) has been shown to be a powerful blind source separation technique for analyzing functional magnetic resonance imaging (fMRI) data sets. ICA can extract independent spatial maps and their corresponding time courses from fMRI data without a priori specification of...
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Artikulua |
| Hizkuntza: | English |
| Argitaratua: |
Public Library of Science (PLoS)
2022-01-01
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| Saila: | PLoS ONE |
| Sarrera elektronikoa: | https://doi.org/10.1371/journal.pone.0270556 |